World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5885
World Ranking
10752
National Ranking
140

Christoph Treude 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 Christoph Treude 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: 327 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Christoph Treude 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 Christoph Treude 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

Christoph Treude is affiliated with Singapore Management University in Singapore and specializes in Computer Science, with a focus on several subfields such as Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, and Information Systems and Management.

The research topics covered in their body of work include Software Engineering Research, Open Source Software Innovations, Software Engineering Techniques and Practices, Software System Performance and Reliability, Scientific Computing and Data Management, Advanced Malware Detection Techniques, and Topic Modeling.

Frequent co-authors collaborating with Christoph Treude are:

  • Raula Gaikovina Kula (47 collaborations)
  • Kenichi Matsumoto (40 collaborations)
  • Hideaki Hata (35 collaborations)
  • Markus Wagner (22 collaborations)
  • Uirá Kulesza (18 collaborations)

Publication venues where Christoph Treude has frequently contributed include:

  • arXiv (Cornell University) - 87 publications
  • Zenodo (CERN European Organization for Nuclear Research) - 44 publications
  • Empirical Software Engineering - 16 publications
  • IEEE Transactions on Software Engineering - 10 publications
  • Journal of Systems and Software - 8 publications

Recent papers authored or co-authored by Christoph Treude include:

  • Empirical Standards for Software Engineering Research, 2020, arXiv (Cornell University)
  • The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source, 2021, arXiv (Cornell University)
  • The impact of automated feature selection techniques on the interpretation of defect models, 2020, Empirical Software Engineering
  • How Do Software Developers Use GitHub Actions to Automate Their Workflows?, 2021, arXiv (Cornell University)
  • Self-adaptive systems: A systematic literature review across categories and domains, 2022, Information and Software Technology

Best Publications

  • How do programmers ask and answer questions on the web? (NIER track)

    Christoph Treude;Ohad Barzilay;Margaret-Anne Storey

  • Augmenting API documentation with insights from stack overflow

    Christoph Treude;Martin P. Robillard

  • The impact of social media on software engineering practices and tools

    Margaret-Anne Storey;Christoph Treude;Arie van Deursen;Li-Te Cheng

  • Overcoming open source project entry barriers with a portal for newcomers

    Igor Steinmacher;Tayana Uchoa Conte;Christoph Treude;Marco Aurelio Gerosa

  • How do programmers ask and answer questions on the web

    Christoph Treude;Ohad Barzilay;Margaret-Anne D. Storey

  • SOTorrent: reconstructing and analyzing the evolution of stack overflow posts

    Sebastian Baltes;Lorik Dumani;Christoph Treude;Stephan Diehl

  • Difference computation of large models

    Christoph Treude;Stefan Berlik;Sven Wenzel;Udo Kelter

  • Measuring API documentation on the Web

    C Parnin;C Treude

  • Measuring API documentation on the web

    Chris Parnin;Christoph Treude

  • Awareness 2.0: staying aware of projects, developers and tasks using dashboards and feeds

    Christoph Treude;Margaret-Anne Storey

  • On-demand Developer Documentation

    Martin P. Robillard;Andrian Marcus;Christoph Treude;Gabriele Bavota

  • Categorizing the Content of GitHub README Files

    Gede Artha Azriadi Prana;Christoph Treude;Ferdian Thung;Thushari Atapattu

  • Mutual assessment in the social programmer ecosystem: an empirical investigation of developer profile aggregators

    Leif Singer;Fernando Figueira Filho;Brendan Cleary;Christoph Treude

  • How tagging helps bridge the gap between social and technical aspects in software development

    Christoph Treude;Margaret-Anne Storey

  • Choosing an NLP library for analyzing software documentation: a systematic literature review and a series of experiments

    Fouad Nasser A Al Omran;Christoph Treude

  • Extracting Development Tasks to Navigate Software Documentation

    Christoph Treude;Martin P. Robillard;Barthelemy Dagenais

  • Empirical Standards for Software Engineering Research

    Paul Ralph;Nauman bin Ali;Sebastian Baltes;Domenico Bianculli

  • Automatic generation of pull request descriptions

    Zhongxin Liu;Xin Xia;Christoph Treude;David Lo

  • Code smells for Model-View-Controller architectures

    Mauricio Finavaro Aniche;Gabriele Bavota;Christoph Treude;Marco Aurélio Gerosa

  • Let Me In: Guidelines for the Successful Onboarding of Newcomers to Open Source Projects

    Igor Steinmacher;Christoph Treude;Marco Aurelio Gerosa

  • What is the Vocabulary of Flaky Tests

    Gustavo Pinto;Breno Miranda;Supun Dissanayake;Marcelo d'Amorim

  • The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source

    Marco Gerosa;Igor Wiese;Bianca Trinkenreich;Georg Link

  • How modern news aggregators help development communities shape and share knowledge

    Mauricio Aniche;Christoph Treude;Igor Steinmacher;Igor Wiese

  • Work Item Tagging: Communicating Concerns in Collaborative Software Development

    C. Treude;M-A Storey

Frequent Co-Authors

Margaret-Anne Storey
Margaret-Anne Storey University of Victoria
Marco Aurélio Gerosa
Marco Aurélio Gerosa Northern Arizona University
Igor Steinmacher
Igor Steinmacher Northern Arizona University
Markus Wagner
Markus Wagner Monash University
Martin P. Robillard
Martin P. Robillard McGill University
Arie van Deursen
Arie van Deursen Delft University of Technology
Kenichi Matsumoto
Kenichi Matsumoto Nara Institute of Science and Technology
David Lo
David Lo Singapore Management University
Daniel M. German
Daniel M. German University of Victoria
Stephan Diehl
Stephan Diehl University of Trier

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