World's Best Scientists 2026 revealed!
Daniel M. German

Daniel M. German

D-Index & Metrics

Computer Science

D-Index
49
Citations
8980
World Ranking
5919
National Ranking
226

Daniel M. German 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 Daniel M. German 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Daniel M. German 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 Daniel M. German 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Daniel M. German is affiliated with the University of Victoria in Canada. Their research largely focuses on the field of Computer Science, with a concentration on Information Systems, Computer Science Applications, and the management of Information Systems. Other subfields include Computer Networks and Communications as well as Artificial Intelligence.

The scientist's work spans several main topics, including Software Engineering Research, Open Source Software Innovations, Scientific Computing and Data Management, Web Data Mining and Analysis, Software Testing and Debugging Techniques, Software Engineering Techniques and Practices, and Software System Performance and Reliability.

Notable recent publications by Daniel M. German include:

  • "How bugs are born: a model to identify how bugs are introduced in software components" (2020), Empirical Software Engineering
  • "Empirical Study on Dependency-related License Violation in the JavaScript Package Ecosystem" (2021), Journal of Information Processing
  • "Exploring the Use of Chatrooms by Developers: An Empirical Study on Slack and Gitter" (2021), IEEE Transactions on Software Engineering
  • "What is an app store? The software engineering perspective" (2024), Empirical Software Engineering
  • "Code Clone Matching: A Practical and Effective Approach to Find Code Snippets" (2020), arXiv (Cornell University)

Frequent co-authors in their research include Trevor Stalnaker, Nathan Wintersgill, Denys Poshyvanyk, Μαρία Παπουτσόγλου, and Georgia M. Kapitsaki, each collaborating on multiple publications.

Daniel M. German's work is published regularly in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Empirical Software Engineering, ACM Transactions on Software Engineering and Methodology, and IEICE Transactions on Information and Systems.

Best Publications

  • The promises and perils of mining GitHub

    Eirini Kalliamvakou;Georgios Gousios;Kelly Blincoe;Leif Singer

  • Do developers update their library dependencies

    Raula Gaikovina Kula;Daniel M. German;Ali Ouni;Ali Ouni;Takashi Ishio

  • The promises and perils of mining git

    Unknown

  • An in-depth study of the promises and perils of mining GitHub

    Eirini Kalliamvakou;Georgios Gousios;Kelly Blincoe;Leif Singer

  • What do large commits tell us?: a taxonomical study of large commits

    Abram Hindle;Daniel M. German;Ric Holt

  • The GNOME project: a case study of open source, global software development

    Daniel M. German

  • On the use of visualization to support awareness of human activities in software development: a survey and a framework

    Margaret-Anne D. Storey;Davor Čubranić;Daniel M. German

  • How Social and Communication Channels Shape and Challenge a Participatory Culture in Software Development

    Margaret-Anne Storey;Alexey Zagalsky;Fernando Figueira Filho;Leif Singer

  • Open source software peer review practices: a case study of the apache server

    Peter C. Rigby;Daniel M. German;Margaret-Anne Storey

  • An empirical study of fine-grained software modifications

    Daniel M. German

  • The past, present, and future of software evolution

    M.W. Godfrey;D.M. German

  • Will my patch make it? And how fast? Case study on the Linux kernel

    Yujuan Jiang;Bram Adams;Daniel M. German

  • Automatic classication of large changes into maintenance categories

    Abram Hindle;Daniel M. German;Michael W. Godfrey;Richard C. Holt

  • License integration patterns: Addressing license mismatches in component-based development

    Daniel M. German;Ahmed E. Hassan

  • Contemporary Peer Review in Action: Lessons from Open Source Development

    Peter C. Rigby;B. Cleary;F. Painchaud;M. Storey

  • A sentence-matching method for automatic license identification of source code files

    Daniel M. German;Yuki Manabe;Katsuro Inoue

  • The Evolution of the R Software Ecosystem

    D. M. German;B. Adams;A. E. Hassan

  • Macro-level software evolution: a case study of a large software compilation

    Jesus M. Gonzalez-Barahona;Gregorio Robles;Martin Michlmayr;Juan José Amor

  • Software bertillonage: finding the provenance of an entity

    Julius Davies;Daniel M. German;Michael W. Godfrey;Abram Hindle

  • Code siblings: Technical and legal implications of copying code between applications

    Daniel M. German;Massimiliano Di Penta;Yann-Gael Gueheneuc;Giuliano Antoniol

  • VISUALIZING THE EVOLUTION OF SOFTWARE USING SOFTCHANGE

    Daniel M. German;Abram Hindle

Frequent Co-Authors

Katsuro Inoue
Katsuro Inoue Ritsumeikan University
Margaret-Anne Storey
Margaret-Anne Storey University of Victoria
Bram Adams
Bram Adams Queen's University
Abram Hindle
Abram Hindle University of Alberta
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Gregorio Robles
Gregorio Robles King Juan Carlos University
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Mario Linares-Vasquez
Mario Linares-Vasquez Universidad de Los Andes
Denys Poshyvanyk
Denys Poshyvanyk William & Mary

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