World's Best Scientists 2026 revealed!
Meiyappan Nagappan

Meiyappan Nagappan

D-Index & Metrics

Computer Science

D-Index
37
Citations
5029
World Ranking
10872
National Ranking
429

Meiyappan Nagappan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Meiyappan Nagappan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 116 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Meiyappan Nagappan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Meiyappan Nagappan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Meiyappan Nagappan is affiliated with the University of Waterloo in Canada. Their research primarily spans the field of Computer Science, with a particular focus on Information Systems, Computer Science Applications, Artificial Intelligence, Software, and Communication as subfields.

The scientist's work addresses multiple topics, including:

  • Software Engineering Research
  • Open Source Software Innovations
  • Software Engineering Techniques and Practices
  • Software Reliability and Analysis Research
  • Wikis in Education and Collaboration
  • Hate Speech and Cyberbullying Detection
  • Advanced Malware Detection Techniques

Frequent publication venues for Meiyappan Nagappan include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Empirical Software Engineering
  • IEEE Transactions on Software Engineering
  • IEEE Software

Recent papers published by Meiyappan Nagappan focus on software engineering topics and research into collaborative development environments, including:

  • Perceived diversity in software engineering: a systematic literature review, 2021, Empirical Software Engineering
  • Is GitHub's Copilot as bad as humans at introducing vulnerabilities in code?, 2023, Empirical Software Engineering
  • Watch Out for Extrinsic Bugs! A Case Study of Their Impact in Just-In-Time Bug Prediction Models on the OpenStack Project, 2020, IEEE Transactions on Software Engineering
  • Insights Into Nonmerged Pull Requests in GitHub: Is There Evidence of Bias Based on Perceptible Race?, 2020, IEEE Software
  • How are project-specific forums utilized? A study of participation, content, and sentiment in the Eclipse ecosystem, 2021, Empirical Software Engineering

Meiyappan Nagappan has collaborated frequently with several researchers, including:

  • Gema Rodríguez-Pérez
  • Mahmoud Alfadel
  • Noble Saji Mathews
  • Reza Nadri
  • Ifraz Rehman

Best Publications

  • What Do Mobile App Users Complain About

    Hammad Khalid;Emad Shihab;Meiyappan Nagappan;Ahmed E. Hassan

  • Curating GitHub for engineered software projects

    Nuthan Munaiah;Steven Kroh;Craig Cabrey;Meiyappan Nagappan

  • What are the characteristics of high-rated apps? A case study on free Android Applications

    Yuan Tian;Meiyappan Nagappan;David Lo;Ahmed E. Hassan

  • Diversity in software engineering research

    Meiyappan Nagappan;Thomas Zimmermann;Christian Bird

  • Abstracting log lines to log event types for mining software system logs

    Meiyappan Nagappan;Mladen A. Vouk

  • A Large-Scale Empirical Study on Software Reuse in Mobile Apps

    Israel J. Mojica;Bram Adams;Meiyappan Nagappan;Steffen Dienst

  • Understanding reuse in the Android Market

    Israel J. Mojica Ruiz;Meiyappan Nagappan;Bram Adams;Ahmed E. Hassan

  • Future Trends in Software Engineering Research for Mobile Apps

    Meiyappan Nagappan;Emad Shihab

  • Think locally, act globally: improving defect and effort prediction models

    Nicolas Bettenburg;Meiyappan Nagappan;Ahmed E. Hassan

  • Truth in advertising: the hidden cost of mobile ads for software developers

    Jiaping Gui;Stuart Mcilroy;Meiyappan Nagappan;William G. J. Halfond

  • The Impact of Classifier Configuration and Classifier Combination on Bug Localization

    Stephen W. Thomas;Meiyappan Nagappan;Dorothea Blostein;Ahmed E. Hassan

  • Perceived diversity in software engineering: a systematic literature review.

    Gema Rodríguez-Pérez;Reza Nadri;Meiyappan Nagappan

  • Prioritizing the devices to test your app on: a case study of Android game apps

    Hammad Khalid;Meiyappan Nagappan;Emad Shihab;Ahmed E. Hassan

  • Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code?

    Unknown

  • Predicting Bugs Using Antipatterns

    Seyyed Ehsan Salamati Taba;Foutse Khomh;Ying Zou;Ahmed E. Hassan

  • Examining the Rating System Used in Mobile-App Stores

    Israel J. Mojica Ruiz;Meiyappan Nagappan;Bram Adams;Thorsten Berger

  • An empirical study of dormant bugs

    Tse-Hsun Chen;Meiyappan Nagappan;Emad Shihab;Ahmed E. Hassan

  • What went right and what went wrong: an analysis of 155 postmortems from game development

    Michael Washburn;Pavithra Sathiyanarayanan;Meiyappan Nagappan;Thomas Zimmermann

  • An Examination of the Current Rating System used in Mobile App Stores

    Israel Mojica Ruiz;Meiyappan Nagappan;Bram Adams;Thorsten Berger

  • Explaining software defects using topic models

    Tse-Hsun Chen;Stephen W. Thomas;Meiyappan Nagappan;Ahmed E. Hassan

  • Revisiting prior empirical findings for mobile apps: an empirical case study on the 15 most popular open-source Android apps

    Mark D. Syer;Meiyappan Nagappan;Ahmed E. Hassan;Bram Adams

  • Diversity in software engineering research.

    H. Valdivia-Garcia;M. Nagappan

Frequent Co-Authors

Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Bram Adams
Bram Adams Queen's University
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Emad Shihab
Emad Shihab Concordia University
Yasutaka Kamei
Yasutaka Kamei Kyushu University
Shane McIntosh
Shane McIntosh McGill University
Thorsten Berger
Thorsten Berger Ruhr University Bochum
Audris Mockus
Audris Mockus University of Tennessee at Knoxville
Christian Bird
Christian Bird Microsoft (United States)
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens a wide range of options for those interested in Computer Science. Many students look for the best online degrees that offer a balance of strong earning potential and flexibility. These programs are ideal for working professionals or anyone balancing other commitments.

Artificial Intelligence (AI) continues to be a popular choice, with a growing number of ai degrees available online. These affordable programs teach essential skills in machine learning, data analysis, and automation—key areas driving technology careers forward.

Choosing the right major is crucial. Some of the most in-demand majors in college include Computer Science, Information Systems, and Engineering. These disciplines provide strong foundations for technology-driven fields and open up diverse career opportunities.

For those seeking to advance quickly, there are also several easiest masters programs to get into. These pathways offer accessible routes to graduate-level education, helping students upskill and boost their career prospects without the high barriers to entry often found in traditional programs.

Best Scientists Citing Meiyappan Nagappan

Trending Scientists

Recently Published Articles