World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9191
World Ranking
5650
National Ranking
2572

K. Bretonnel Cohen 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 K. Bretonnel Cohen 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

K. Bretonnel Cohen 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 K. Bretonnel Cohen 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1977 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

K. Bretonnel Cohen is affiliated with the University of Colorado Denver in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with significant contributions to Molecular Biology, Artificial Intelligence, Genetics, Biomedical Engineering, and Sociology and Political Science.

The scientist has contributed to several topics, including:

  • Bioinformatics and Genomic Networks
  • Genomics and Rare Diseases
  • Biomedical Text Mining and Ontologies
  • Biomedical and Engineering Education
  • Genetics, Bioinformatics, and Biomedical Research
  • Topic Modeling
  • Misinformation and Its Impacts

Recent publications by K. Bretonnel Cohen include:

  • Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic, 2020, Journal of Medical Internet Research
  • A Machine Learning Approach to Identifying Changes in Suicidal Language, 2020, Suicide and Life-Threatening Behavior
  • High-quality gene/disease embedding in a multi-relational heterogeneous graph after a joint matrix/tensor decomposition, 2022, Journal of Biomedical Informatics
  • Bridging heterogeneous mutation data to enhance disease gene discovery, 2021, Briefings in Bioinformatics
  • BioHackathon 2015: Semantics of data for life sciences and reproducible research, 2020, F1000Research

Their frequent coauthors include Jin-Dong Kim, Kaiyin Zhou, Yuxing Wang, Jingbo Xia, and Xiaohang Ma.

K. Bretonnel Cohen has published multiple works in venues such as:

  • Genomics & Informatics
  • Journal of Medical Internet Research
  • Suicide and Life-Threatening Behavior
  • Journal of Biomedical Informatics
  • Briefings in Bioinformatics

The scientist was recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 1977.

Best Publications

  • Amazon mechanical turk: Gold mine or coal mine?

    Karën Fort;Gilles Adda;K. Bretonnel Cohen

  • A shared task involving multi-label classification of clinical free text

    John P. Pestian;Chris Brew;Pawel Matykiewicz;DJ Hovermale

  • Frontiers of biomedical text mining: current progress

    Pierre Zweigenbaum;Dina Demner-Fushman;Hong Yu;Kevin Bretonnel Cohen

  • Biomedical language processing: what's beyond PubMed?

    Lawrence Hunter;K. Bretonnel Cohen

  • Overview of BioCreative II gene normalization.

    Alexander A. Morgan;Zhiyong Lu;Xinglong Wang;Aaron M. Cohen

  • Getting started in text mining.

    K Bretonnel Cohen;Lawrence E Hunter

  • Manual curation is not sufficient for annotation of genomic databases

    William A. Baumgartner;K. Bretonnel Cohen;Lynne M. Fox;George Acquaah-Mensah

  • Concept annotation in the CRAFT corpus

    Michael Bada;Miriam Eckert;Donald Evans;Kristin Garcia

  • BioC: a minimalist approach to interoperability for biomedical text processing

    Donald C. Comeau;Rezarta Islamaj Doğan;Paolo Ciccarese;Kevin Bretonnel Cohen

  • Sentiment Analysis of Suicide Notes: A Shared Task.

    John P. Pestian;Pawel Matykiewicz;Michelle Linn-Gust;Brett R South

  • OpenDMAP: an open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expression.

    Lawrence Hunter;Zhiyong Lu;James Firby;William A Baumgartner

  • Text mining for the biocuration workflow

    Lynette Hirschman;Gully A. P. C. Burns;Martin Krallinger;Cecilia Arighi

  • MutationFinder: a high-performance system for extracting point mutation mentions from text

    J. Gregory Caporaso;William A. Baumgartner;David A. Randolph;K. Bretonnel Cohen

  • The structural and content aspects of abstracts versus bodies of full text journal articles are different

    K Bretonnel Cohen;K Bretonnel Cohen;Helen L Johnson;Karin Verspoor;Christophe Roeder

  • Text mining and manual curation of chemical-gene-disease networks for the comparative toxicogenomics database (CTD).

    Thomas C Wiegers;Allan Peter Davis;K Bretonnel Cohen;K Bretonnel Cohen;Lynette Hirschman

  • The compositional structure of Gene Ontology terms

    P V Ogren;K B Cohen;G K Acquaah-Mensah;J Eberlein

  • A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

    John P. Pestian;Michael Sorter;Brian Connolly;Kevin Bretonnel Cohen

  • Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters

    Christopher S. Funk;William A. Baumgartner;Benjamin Garcia;Christophe Roeder

  • Natural Language Processing and Systems Biology

    K. Bretonnel Cohen;Lawrence Hunter

  • Overview of the BioCreative III Workshop

    Cecilia N. Arighi;Zhiyong Lu;Martin Krallinger;Kevin Bretonnel Cohen

  • A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

    Karin Verspoor;Kevin Bretonnel Cohen;Arrick Lanfranchi;Colin Warner

Frequent Co-Authors

Lawrence Hunter
Lawrence Hunter University of Colorado Denver
William A. Baumgartner
William A. Baumgartner Johns Hopkins University
Karin Verspoor
Karin Verspoor RMIT University
Zhiyong Lu
Zhiyong Lu National Institutes of Health
Lynette Hirschman
Lynette Hirschman Mitre (United States)
Martha Palmer
Martha Palmer University of Colorado Boulder
J. Gregory Caporaso
J. Gregory Caporaso Northern Arizona University
Udo Hahn
Udo Hahn Friedrich Schiller University Jena
Dina Demner-Fushman
Dina Demner-Fushman National Institutes of Health
Philip E. Bourne
Philip E. Bourne University of Virginia

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