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Top 16 International Computer Science Journals — A Template Guide

Monali Ghosh

MS Word, LaTeX Templates and Author Guidelines

This post is part of a series of blogs with links to Word, LaTeX templates and author instructions of top journals around the world in more than 25 core subjects in academia.

Getting started with your Research Paper Formatting

Writing a successful research paper is more than just communicating your knowledge . Most of the journals prescribe detailed set of authoring guidelines to apply on your content before you submit. Many research papers even get rejected for not following the guidelines of the journal (a reason why we built SciSpace (Formerly Typeset) — a platform to automatically apply 100% journal guidelines on your content).

To get you quickly started with your research paper formatting, this blog article lists journal formats and authoring guidelines of top international journals in Computer Science. You can find the links to MS Word template as well as LaTeX template of each of the journal here. You can also find the access link to the detailed author guidelines set by the journal. Feel free to check it out, share with friends and comment on the article.

Science-Journals

Top International Computer Science Journals

We have used "Impact Factor" and various other parameters to rank the journals( Source ).

1. IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Pattern Analysis and Machine Intelligence is a monthly peer-reviewed scientific journal published by the IEEE Computer Society. It covers research in computer vision and image understanding, pattern analysis and recognition, and machine intelligence. machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, and face and gesture recognition.

Impact Factor — 5.694 (2013)

Journal Abbreviation — IEEE Trans. Pattern Anal. Mach. Intell.

Download MS Word Template here

Download LaTeX Template here

Check out the detailed Author Guidelines here

2. Artificial Intelligence

Artificial Intelligence is a scientific journal on artificial intelligence research. It was established in 1970 and is published by Elsevier.

Impact Factor — 3.333 (2015)

Find instructions for MS Word Template here

** The journal doesn’t provide you a MS Word template. You have to follow the author guidelines to format your document. You can also write your document on SciSpace and format it to the journal guidelines in a few click s .

3. Communications of the ACM

Communications of the ACM is the monthly Journal of the Association for Computing Machinery (ACM). The focus is on the practical implications of advances in information technology and associated management issues; ACM also publishes a variety of more theoretical journals.

Impact Factor — 3.301 (2015)

Journal Abbreviation — Commun ACM

** The journal doesn’t provide you a MS Word template. You have to follow the author guidelines to format your document. You can also write your document on SciSpace and format it to the journal guidelines in a click.

4. Computer

Computer is an IEEE Computer Society practitioner-oriented magazine and contains peer-reviewed articles, regular columns and interviews on current computing-related issues.

Impact Factor — 1.438 (2013)

5. IEEE Transactions on Computers

IEEE Transactions on Computers is a monthly peer-reviewed scientific journal covering all aspects of computer design. It was established in 1952 and is published by the IEEE Computer Society.

Impact Factor — 1.473 (2013)

Journal Abbreviation — IEEE Trans. Comput.

6. IEEE Transactions on Evolutionary Computation

IEEE Transactions on Evolutionary Computation is a bimonthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined.

Impact Factor — 5.545 (2013)

Journal Abbreviation — IEEE Trans. Evolut. Comput.

7. IEEE Transactions on Fuzzy Systems

IEEE Transactions on Fuzzy Systems is a bimonthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers the theory, design or applications of fuzzy systems ranging from hardware to software, including significant technical achievements, exploratory developments, or performance studies of fielded systems based on fuzzy models.

Impact Factor — 6.701 (2016)

Journal Abbreviation — IEEE Trans. Fuzzy Syst.

8. Journal of Cryptology

The Journal of Cryptology is a scientific journal in the field of cryptology and cryptography. The journal is published quarterly by the International Association for Cryptologic Research.

Impact Factor — 1.021(2015)

** The journal doesn’t provide you a LaTeX template .The journal also doesn’t provide you a MS Word template. You have to follow the author guidelines to format your document. You can also write your document on SciSpace and format it to the journal guidelines in a click and download the LaTeX version.

9. IEEE Transactions on Information Theory

IEEE Transactions on Information Theory is a monthly peer-reviewed scientific journal published by the IEEE Information Theory Society. It covers information theory and the mathematics of communications.

Impact Factor — 2.65 (2013)

Journal Abbreviation — IEEE Trans. Inf. Theory

Check out MS Word Template here

Check out LaTeX Template here

10. IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers the theory, design, and applications of neural networks and related learning systems.

Impact Factor — 4.37 (2013)

Journal Abbreviation — IEEE Trans. Neural Netw. Learn. Syst

11. Journal of the ACM

The Journal of the ACM is a peer-reviewed scientific journal covering computer science in general, especially theoretical aspects. It is an official journal of the Association for Computing Machinery.

Impact Factor — 2.353 (2011)

Journal Abbreviation — J. ACM

12. Journal of Artificial Intelligence Research

The Journal of Artificial Intelligence Research is an open access peer-reviewed scientific journal covering research in all areas of artificial intelligence. Paper volumes are printed by the AAAI Press.

Impact Factor — 1.691 (2010)

Journal Abbreviation — J. Artif. Intell. Res

13. Journal of Functional Programming

The Journal of Functional Programming is a peer-reviewed scientific journal covering the design, implementation, and application of functional programming languages, spanning the range from mathematical theory to industrial practice.

Impact Factor — 1.357(2015)

** The journal doesn’t provide you a LaTeX template . The journal also doesn’t provide you a MS Word template. You have to follow the author guidelines to format your document. You can also write your document on SciSpace , format it to the journal guidelines in a click and download your document in LaTeX format.

14. International Journal of Computer Vision

The International Journal of Computer Vision (IJCV) is a journal published by Springer.

Impact Factor — 3.623 (2012)

Journal Abbreviation — IJCV

Find LaTeX instructions here

Find MS Word instructions here

** The journal doesn’t provide you a LaTeX template . The journal also doesn’t provide you a MS Word template. You have to follow the author guidelines to format your document. You can also write your document on SciSpace and format it to the journal guidelines in a click.

15. Journal of Machine Learning Research

The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning.

Impact Factor — 2.45(2015)

16. SIAM Journal on Computing (SICOMP)

The SIAM Journal on Computing ( SICOMP ) is a scientific journal focusing on the mathematical and formal aspects of computer science. It is published by the Society for Industrial and Applied Mathematics (SIAM).

Journal Abbreviation — SIAM J. Comput.

If you found this list useful, please do share top computer science journals’ templates with your fellow researchers, academics and colleagues.

A research writing tool that helps you follow 100% guidelines

Adhering to fuzzy journal guidelines that runs to hundreds of pages is every researcher’s nightmare. That’s where SciSpace comes in.

SciSpace has around 14000 journal templates and enables you to format or re-format your research paper to all of the journal guidelines with 100% accuracy. What more, you save loads of your time while doing it .

SciSpace also has various University thesis, assignments and top international Conferences’ templates. Check it out here .

Before you go, SciSpace may be of interest if you are trying to simplify their research workflows. Discover, write, and collaborate on research papers using this comprehensive end-to-end solution. Your scholarly output can be displayed and managed seamlessly with the tools and resources we provide.

SciSpace literature search feature

By combining writing and publishing tools, copyright detection technology, and searchable indexing, this platform will let you display and manage your scholarly output.It is a good idea to make notes about your citations while conducting a literature review. With SciSpace Discover, it is easy to cite your sources. Using the citation button on an article page, you can generate citation text that is preloaded in multiple formats, so you can copy and paste as you need.

Citation management in Scispace

Related Reading

  • Top 11 international Biology journals — a template guide
  • Top 13 international Material Science journals- a template guide
  • Template collection of top Chemistry journals
  • How SciSpace simplifies your research writing

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Hiring CS Graduates: What We Learned from Employers

Computer science ( CS ) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer science-specific hiring processes. However, the hiring process for CS majors may be different. It is critical to have up-to-date information on questions such as “what positions are in high demand for CS majors?,” “what is a typical hiring process?,” and “what do employers say they look for when hiring CS graduates?” This article discusses the analysis of a survey of 218 recruiters hiring CS graduates in the United States. We used Atlas.ti to analyze qualitative survey data and report the results on what positions are in the highest demand, the hiring process, and the resume review process. Our study revealed that a software developer was the most common job the recruiters were looking to fill. We found that the hiring process steps for CS graduates are generally aligned with traditional hiring steps, with an additional emphasis on technical and coding tests. Recruiters reported that their hiring choices were based on reviewing resume’s experience, GPA, and projects sections. The results provide insights into the hiring process, decision making, resume analysis, and some discrepancies between current undergraduate CS program outcomes and employers’ expectations.

A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature

Context. Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly enough to perform replications, conduct meta-analyses, and build theories. There is a need to understand whether published research allows the CER community to systematically advance knowledge and build theories. Objectives. The goal of this study is to characterize the reporting of empiricism in Computing Education Research literature by identifying whether publications include content necessary for researchers to perform replications, meta-analyses, and theory building. We answer three research questions related to this goal: (RQ1) What percentage of papers in CER venues have some form of empirical evaluation? (RQ2) Of the papers that have empirical evaluation, what are the characteristics of the empirical evaluation? (RQ3) Of the papers that have empirical evaluation, do they follow norms (both for inclusion and for labeling of information needed for replication, meta-analysis, and, eventually, theory-building) for reporting empirical work? Methods. We conducted a systematic literature review of the 2014 and 2015 proceedings or issues of five CER venues: Technical Symposium on Computer Science Education (SIGCSE TS), International Symposium on Computing Education Research (ICER), Conference on Innovation and Technology in Computer Science Education (ITiCSE), ACM Transactions on Computing Education (TOCE), and Computer Science Education (CSE). We developed and applied the CER Empiricism Assessment Rubric to the 427 papers accepted and published at these venues over 2014 and 2015. Two people evaluated each paper using the Base Rubric for characterizing the paper. An individual person applied the other rubrics to characterize the norms of reporting, as appropriate for the paper type. Any discrepancies or questions were discussed between multiple reviewers to resolve. Results. We found that over 80% of papers accepted across all five venues had some form of empirical evaluation. Quantitative evaluation methods were the most frequently reported. Papers most frequently reported results on interventions around pedagogical techniques, curriculum, community, or tools. There was a split in papers that had some type of comparison between an intervention and some other dataset or baseline. Most papers reported related work, following the expectations for doing so in the SIGCSE and CER community. However, many papers were lacking properly reported research objectives, goals, research questions, or hypotheses; description of participants; study design; data collection; and threats to validity. These results align with prior surveys of the CER literature. Conclusions. CER authors are contributing empirical results to the literature; however, not all norms for reporting are met. We encourage authors to provide clear, labeled details about their work so readers can use the study methodologies and results for replications and meta-analyses. As our community grows, our reporting of CER should mature to help establish computing education theory to support the next generation of computing learners.

Light Diacritic Restoration to Disambiguate Homographs in Modern Arabic Texts

Diacritic restoration (also known as diacritization or vowelization) is the process of inserting the correct diacritical markings into a text. Modern Arabic is typically written without diacritics, e.g., newspapers. This lack of diacritical markings often causes ambiguity, and though natives are adept at resolving, there are times they may fail. Diacritic restoration is a classical problem in computer science. Still, as most of the works tackle the full (heavy) diacritization of text, we, however, are interested in diacritizing the text using a fewer number of diacritics. Studies have shown that a fully diacritized text is visually displeasing and slows down the reading. This article proposes a system to diacritize homographs using the least number of diacritics, thus the name “light.” There is a large class of words that fall under the homograph category, and we will be dealing with the class of words that share the spelling but not the meaning. With fewer diacritics, we do not expect any effect on reading speed, while eye strain is reduced. The system contains morphological analyzer and context similarities. The morphological analyzer is used to generate all word candidates for diacritics. Then, through a statistical approach and context similarities, we resolve the homographs. Experimentally, the system shows very promising results, and our best accuracy is 85.6%.

A genre-based analysis of questions and comments in Q&A sessions after conference paper presentations in computer science

Gender diversity in computer science at a large public r1 research university: reporting on a self-study.

With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25–30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University–New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.

Designing for Student-Directedness: How K–12 Teachers Utilize Peers to Support Projects

Student-directed projects—projects in which students have individual control over what they create and how to create it—are a promising practice for supporting the development of conceptual understanding and personal interest in K–12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design principle identified by a group of K–12 computer science teachers who support student-directed projects in their classrooms: in order for students to develop their own ideas and determine how to pursue them, students must have opportunities to engage with other students’ work. In this qualitative study, we investigated the instructional practices of 25 K–12 teachers using a series of in-depth, semi-structured interviews to develop understandings of how they used peer work to support student-directed projects in their classrooms. Teachers described supporting their students in navigating three stages of project development: generating ideas, pursuing ideas, and presenting ideas. For each of these three stages, teachers considered multiple factors to encourage engagement with peer work in their classrooms, including the quality and completeness of shared work and the modes of interaction with the work. We discuss how this pedagogical approach offers students new relationships to their own learning, to their peers, and to their teachers and communicates important messages to students about their own competence and agency, potentially contributing to aims within computer science for broadening participation.

Creativity in CS1: A Literature Review

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.

CATS: Customizable Abstractive Topic-based Summarization

Neural sequence-to-sequence models are the state-of-the-art approach used in abstractive summarization of textual documents, useful for producing condensed versions of source text narratives without being restricted to using only words from the original text. Despite the advances in abstractive summarization, custom generation of summaries (e.g., towards a user’s preference) remains unexplored. In this article, we present CATS, an abstractive neural summarization model that summarizes content in a sequence-to-sequence fashion while also introducing a new mechanism to control the underlying latent topic distribution of the produced summaries. We empirically illustrate the efficacy of our model in producing customized summaries and present findings that facilitate the design of such systems. We use the well-known CNN/DailyMail dataset to evaluate our model. Furthermore, we present a transfer-learning method and demonstrate the effectiveness of our approach in a low resource setting, i.e., abstractive summarization of meetings minutes, where combining the main available meetings’ transcripts datasets, AMI and International Computer Science Institute(ICSI) , results in merely a few hundred training documents.

Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysis

Factors affecting student educational choices regarding oer material in computer science, export citation format, share document.

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  • ACM Digital Library Conference proceedings, books, articles, magazines, newsletters, and multimedia titles relating to computing and information technology. Coverage: 1947 - present more... less... ACM Digital Library contains bibliographic information on ACM publications since 1947 and includes full-text of documents where available. Works published by affiliated organizations are included on a selected basis.
  • IEEE Xplore Digital Library Resources for computer science, electrical engineering, electronics engineering, and mechanical engineering. Coverage: 1988 - present more... less... IEEE Xplore provides access to journals, annual conference proceedings, and IEEE technical standards.
  • DBLP Computer Science Bibliography From the University of Trier, the "DBLP indexes more than 2.6 million articles and contains many links to home pages of computer scientists."
  • ACL Anthology Browse through papers on the study of computational linguistics and natural language processing
  • Eurographics Digital Library From the European Association for Computer Graphics.
  • CiteSeerX A scientific literature digital library and search engine focusing on literature in computer and information science. Coverage: varies more... less... CiteSeerX attempts to provide algorithms, metadata, services, techniques, and software that can be used in other digital libraries. CiteSeer indexes PostScript and PDF research articles on the Web.

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  • ABI/INFORM ProQuest access to articles on business and management from U.S. and international journals and trade magazines, including company histories, competitive intelligence, and product development. Coverage: 1971 - present more... less... Includes scholarly journals, trade magazines, working papers, market research, and company profiles.
  • Factiva News, business magazines, trade journals, newsletters, and television and radio transcripts. Coverage: 1970s - present. Varies by publication more... less... Factiva forbids storing or using search results in research applications such as data mining or trend analysis. Note: If you are at a public workstation you will be asked for your WatIAM (Quest) User ID and Password.
  • Nexis Uni News, legal, and business sources from around the world, Find news, legislation, case law, statutes, company profiles, market & industry reports. Coverage: 1970s - present more... less... Note: If you are at a public workstation you will be asked for your WatIAM (Quest) User ID and Password.

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  • Google Scholar Google Scholar is a search engine finds scholarly information from many sources (however, not everything in Google Scholar is scholarly). To access materials paid for by your library, go to Google Scholar, then choose Settings and click "Library Links" to add the University of Waterloo. more... less... Google Scholar is a search engine that emphasizes scholarly information, particularly in the sciences and technology. It draws from academic publishers, professional societies, preprint repositories and universities. Note: Access To access materials paid for by your library, go to Google Scholar, then choose Settings and click "Library Links." The off-campus user will first need to login via "Get access from anywhere."
  • arXiv A pre-print server which hosts papers (that have not been peer reviewed) relating to physics, mathematics, computer science, nonlinear sciences, qualitative biology and statistics Coverage: 1991 - present
  • JSTOR Provides access to back issues of journals in the humanities, social sciences, and physical sciences, many of which date from the 1800s. Coverage: varies (excludes current 3 to 5 years)
  • ProQuest A platform with many databases of journal indexes and abstracts, as well as some with full text Coverage: Varies more... less... This online platform hosts multiple resources.
  • EBSCOhost A platform with many databases of journal indexes and abstracts, as well as some with full text Coverage: varies more... less... This online platform hosts multiple resources. Note: Offline digital lending: Requires Adobe Digital Editions.

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IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability.

In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent.

International Journal of Advanced Computer Science and Applications publishes research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications.

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Dr Kohei Arai

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Kohei ARAI

Affiliation : Saga University, Japan.

Domains of Research : Computer Science, Human-Computer Interaction, Networking, Information Retrievals, Optimization Theory, Modeling and Simulation, Satellite Remote Sensing, Computer Vision, Decision Making Methodology

[email protected]

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Computer Science > Human-Computer Interaction

Title: understanding public perceptions of ai conversational agents: a cross-cultural analysis.

Abstract: Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perceptions of AI in general, there is a notable lack in research focused on CAs, with fewer investigations into cultural variations in CA perceptions. To address this gap, this study used computational methods to analyze about one million social media discussions surrounding CAs and compared people's discourses and perceptions of CAs in the US and China. We find Chinese participants tended to view CAs hedonically, perceived voice-based and physically embodied CAs as warmer and more competent, and generally expressed positive emotions. In contrast, US participants saw CAs more functionally, with an ambivalent attitude. Warm perception was a key driver of positive emotions toward CAs in both countries. We discussed practical implications for designing contextually sensitive and user-centric CAs to resonate with various users' preferences and needs.

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A Columbia Surgeon’s Study Was Pulled. He Kept Publishing Flawed Data.

The quiet withdrawal of a 2021 cancer study by Dr. Sam Yoon highlights scientific publishers’ lack of transparency around data problems.

Supported by

Benjamin Mueller

By Benjamin Mueller

Benjamin Mueller covers medical science and has reported on several research scandals.

  • Feb. 15, 2024

The stomach cancer study was shot through with suspicious data. Identical constellations of cells were said to depict separate experiments on wholly different biological lineages. Photos of tumor-stricken mice, used to show that a drug reduced cancer growth, had been featured in two previous papers describing other treatments.

Problems with the study were severe enough that its publisher, after finding that the paper violated ethics guidelines, formally withdrew it within a few months of its publication in 2021. The study was then wiped from the internet, leaving behind a barren web page that said nothing about the reasons for its removal.

As it turned out, the flawed study was part of a pattern. Since 2008, two of its authors — Dr. Sam S. Yoon, chief of a cancer surgery division at Columbia University’s medical center, and a more junior cancer biologist — have collaborated with a rotating cast of researchers on a combined 26 articles that a British scientific sleuth has publicly flagged for containing suspect data. A medical journal retracted one of them this month after inquiries from The New York Times.

A person walks across a covered walkway connecting two buildings over a road with parked cars. A large, blue sign on the walkway says "Columbia University Irving Medical Center."

Memorial Sloan Kettering Cancer Center, where Dr. Yoon worked when much of the research was done, is now investigating the studies. Columbia’s medical center declined to comment on specific allegations, saying only that it reviews “any concerns about scientific integrity brought to our attention.”

Dr. Yoon, who has said his research could lead to better cancer treatments , did not answer repeated questions. Attempts to speak to the other researcher, Changhwan Yoon, an associate research scientist at Columbia, were also unsuccessful.

The allegations were aired in recent months in online comments on a science forum and in a blog post by Sholto David, an independent molecular biologist. He has ferreted out problems in a raft of high-profile cancer research , including dozens of papers at a Harvard cancer center that were subsequently referred for retractions or corrections.

From his flat in Wales , Dr. David pores over published images of cells, tumors and mice in his spare time and then reports slip-ups, trying to close the gap between people’s regard for academic research and the sometimes shoddier realities of the profession.

When evaluating scientific images, it is difficult to distinguish sloppy copy-and-paste errors from deliberate doctoring of data. Two other imaging experts who reviewed the allegations at the request of The Times said some of the discrepancies identified by Dr. David bore signs of manipulation, like flipped, rotated or seemingly digitally altered images.

Armed with A.I.-powered detection tools, scientists and bloggers have recently exposed a growing body of such questionable research, like the faulty papers at Harvard’s Dana-Farber Cancer Institute and studies by Stanford’s president that led to his resignation last year.

But those high-profile cases were merely the tip of the iceberg, experts said. A deeper pool of unreliable research has gone unaddressed for years, shielded in part by powerful scientific publishers driven to put out huge volumes of studies while avoiding the reputational damage of retracting them publicly.

The quiet removal of the 2021 stomach cancer study from Dr. Yoon’s lab, a copy of which was reviewed by The Times, illustrates how that system of scientific publishing has helped enable faulty research, experts said. In some cases, critical medical fields have remained seeded with erroneous studies.

“The journals do the bare minimum,” said Elisabeth Bik, a microbiologist and image expert who described Dr. Yoon’s papers as showing a worrisome pattern of copied or doctored data. “There’s no oversight.”

Memorial Sloan Kettering, where portions of the stomach cancer research were done, said no one — not the journal nor the researchers — had ever told administrators that the paper was withdrawn or why it had been. The study said it was supported in part by federal funding given to the cancer center.

Dr. Yoon, a stomach cancer specialist and a proponent of robotic surgery, kept climbing the academic ranks, bringing his junior researcher along with him. In September 2021, around the time the study was published, he joined Columbia, which celebrated his prolific research output in a news release . His work was financed in part by half a million dollars in federal research money that year, adding to a career haul of nearly $5 million in federal funds.

The decision by the stomach cancer study’s publisher, Elsevier, not to post an explanation for the paper’s removal made it less likely that the episode would draw public attention or affect the duo’s work. That very study continued to be cited in papers by other scientists .

And as recently as last year, Dr. Yoon’s lab published more studies containing identical images that were said to depict separate experiments, according to Dr. David’s analyses.

The researchers’ suspicious publications stretch back 16 years. Over time, relatively minor image copies in papers by Dr. Yoon gave way to more serious discrepancies in studies he collaborated on with Changhwan Yoon, Dr. David said. The pair, who are not related, began publishing articles together around 2013.

But neither their employers nor their publishers seemed to start investigating their work until this past fall, when Dr. David published his initial findings on For Better Science, a blog, and notified Memorial Sloan Kettering, Columbia and the journals. Memorial Sloan Kettering said it began its investigation then.

None of those flagged studies was retracted until last week. Three days after The Times asked publishers about the allegations, the journal Oncotarget retracted a 2016 study on combating certain pernicious cancers. In a retraction notice , the journal said the authors’ explanations for copied images “were deemed unacceptable.”

The belated action was symptomatic of what experts described as a broken system for policing scientific research.

A proliferation of medical journals, they said, has helped fuel demand for ever more research articles. But those same journals, many of them operated by multibillion-dollar publishing companies, often respond slowly or do nothing at all once one of those articles is shown to contain copied data. Journals retract papers at a fraction of the rate at which they publish ones with problems.

Springer Nature, which published nine of the articles that Dr. David said contained discrepancies across five journals, said it was investigating concerns. So did the American Association for Cancer Research, which published 10 articles under question from Dr. Yoon’s lab across four journals.

It is difficult to know who is responsible for errors in articles. Eleven of the scientists’ co-authors, including researchers at Harvard, Duke and Georgetown, did not answer emailed inquiries.

The articles under question examined why certain stomach and soft-tissue cancers withstood treatment, and how that resistance could be overcome.

The two independent image specialists said the volume of copied data, along with signs that some images had been rotated or similarly manipulated, suggested considerable sloppiness or worse.

“There are examples in this set that raise pretty serious red flags for the possibility of misconduct,” said Dr. Matthew Schrag, a Vanderbilt University neurologist who commented as part of his outside work on research integrity.

One set of 10 articles identified by Dr. David showed repeated reuse of identical or overlapping black-and-white images of cancer cells supposedly under different experimental conditions, he said.

“There’s no reason to have done that unless you weren’t doing the work,” Dr. David said.

One of those papers , published in 2012, was formally tagged with corrections. Unlike later studies, which were largely overseen by Dr. Yoon in New York, this paper was written by South Korea-based scientists, including Changhwan Yoon, who then worked in Seoul.

An immunologist in Norway randomly selected the paper as part of a screening of copied data in cancer journals. That led the paper’s publisher, the medical journal Oncogene, to add corrections in 2016.

But the journal did not catch all of the duplicated data , Dr. David said. And, he said, images from the study later turned up in identical form in another paper that remains uncorrected.

Copied cancer data kept recurring, Dr. David said. A picture of a small red tumor from a 2017 study reappeared in papers in 2020 and 2021 under different descriptions, he said. A ruler included in the pictures for scale wound up in two different positions.

The 2020 study included another tumor image that Dr. David said appeared to be a mirror image of one previously published by Dr. Yoon’s lab. And the 2021 study featured a color version of a tumor that had appeared in an earlier paper atop a different section of ruler, Dr. David said.

“This is another example where this looks intentionally done,” Dr. Bik said.

The researchers were faced with more serious action when the publisher Elsevier withdrew the stomach cancer study that had been published online in 2021. “The editors determined that the article violated journal publishing ethics guidelines,” Elsevier said.

Roland Herzog, the editor of Molecular Therapy, the journal where the article appeared, said that “image duplications were noticed” as part of a process of screening for discrepancies that the journal has since continued to beef up.

Because the problems were detected before the study was ever published in the print journal, Elsevier’s policy dictated that the article be taken down and no explanation posted online.

But that decision appeared to conflict with industry guidelines from the Committee on Publication Ethics . Posting articles online “usually constitutes publication,” those guidelines state. And when publishers pull such articles, the guidelines say, they should keep the work online for the sake of transparency and post “a clear notice of retraction.”

Dr. Herzog said he personally hoped that such an explanation could still be posted for the stomach cancer study. The journal editors and Elsevier, he said, are examining possible options.

The editors notified Dr. Yoon and Changhwan Yoon of the article’s removal, but neither scientist alerted Memorial Sloan Kettering, the hospital said. Columbia did not say whether it had been told.

Experts said the handling of the article was symptomatic of a tendency on the part of scientific publishers to obscure reports of lapses .

“This is typical, sweeping-things-under-the-rug kind of nonsense,” said Dr. Ivan Oransky, co-founder of Retraction Watch, which keeps a database of 47,000-plus retracted papers. “This is not good for the scientific record, to put it mildly.”

Susan C. Beachy contributed research.

Benjamin Mueller reports on health and medicine. He was previously a U.K. correspondent in London and a police reporter in New York. More about Benjamin Mueller

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    Download LaTeX Template here. Check out the detailed Author Guidelines here. 2. Artificial Intelligence. Artificial Intelligence is a scientific journal on artificial intelligence research. It was established in 1970 and is published by Elsevier. Impact Factor — 3.333 (2015) Find instructions for MS Word Template here. Download LaTeX Template ...

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    The ranking of best journals for Computer Science was published by Research.com, one of the prominent websites for computer science research providing trusted data on scientific contributions since 2014. The position in the ranking is based on a unique bibliometric score created by Research.com which is computed using the estimated h-index and ...

  18. Where to publish a paper : r/compsci

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