World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
23265
World Ranking
8560
National Ranking
3659

David D. Lewis 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 David D. Lewis 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: 78 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

David D. Lewis 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 David D. Lewis 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

David D. Lewis is an independent scientist and consultant based in the United States, with a focus spanning medicine and computer science. Their research output includes a substantial body of work in several specialized subfields and topics, reflecting interdisciplinary expertise across both sciences and technology.

The main fields of study for David D. Lewis include:

  • Medicine
  • Computer Science

Their work extends into key subfields such as:

  • Artificial Intelligence
  • Safety Research
  • Genetics
  • Sociology and Political Science
  • Plant Science

David D. Lewis's research covers diverse topics, prominently featuring:

  • Ethics and Social Impacts of AI
  • Chronic Lymphocytic Leukemia Research
  • Lymphoma Diagnosis and Treatment
  • Privacy, Security, and Data Protection
  • Privacy-Preserving Technologies in Data
  • Law, AI, and Intellectual Property
  • Industrial Vision Systems and Defect Detection

Among recent publications, notable papers include:

  • Molnupiravir plus usual care versus usual care alone as early treatment for adults with COVID-19 at increased risk of adverse outcomes (PANORAMIC): an open-label, platform-adaptive randomised controlled trial, 2022, The Lancet
  • Ethics and diversity in artificial intelligence policies, strategies and initiatives, 2022, AI and Ethics
  • Role of Coherent Systems in the Next DCI Generation, 2023, Journal of Lightwave Technology
  • Pirtobrutinib, a highly selective, non-covalent (reversible) BTK inhibitor in patients with B-cell malignancies: analysis of the Richter transformation subgroup from the multicentre, open-label, phase 1/2 BRUIN study, 2024, The Lancet Haematology
  • Global Challenges in the Standardization of Ethics for Trustworthy AI, 2020, Journal of ICT Standardization

Frequent collaborators include:

  • Harshvardhan J. Pandit
  • Delaram Golpayegani
  • Nirav N. Shah
  • Alvaro J. Alencar
  • Kim Linton

David D. Lewis has published extensively in venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Clinical Lymphoma Myeloma & Leukemia
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the International Display Workshops

The scientist has also contributed to book publications, including a title published by the Japan Society of Medical Entomology and Zoology:

  • Pencil drawing techniques, 2020

Best Publications

  • RCV1: A New Benchmark Collection for Text Categorization Research

    David D. Lewis;Yiming Yang;Tony G. Rose;Fan Li

  • Naive (Bayes) at forty: the independence assumption in information retrieval

    David D. Lewis

  • A sequential algorithm for training text classifiers

    David D. Lewis;William A. Gale

  • Heterogenous uncertainty sampling for supervised learning

    David D. Lewis;Jason Catlett

  • Large-Scale Bayesian Logistic Regression for Text Categorization

    Alexander Genkin;David D Lewis;David Madigan

  • An evaluation of phrasal and clustered representations on a text categorization task

    David D. Lewis

  • Training algorithms for linear text classifiers

    David D. Lewis;Robert E. Schapire;James P. Callan;Ron Papka

  • Feature selection and feature extraction for text categorization

    David D. Lewis

  • Representation and Learning in Information Retrieval

    David Dolan Lewis

  • Reuters-21578 Text Categorization Test Collection, Distribution 1.0

    D. D. Lewis

  • Evaluating and optimizing autonomous text classification systems

    David D. Lewis

  • Natural language processing for information retrieval

    David D. Lewis;Karen Spärck Jones

  • The use of phrases and structured queries in information retrieval

    W. Bruce Croft;Howard R. Turtle;David D. Lewis

  • Evaluating text categorization

    David D. Lewis

  • Building a test collection for complex document information processing

    D. Lewis;G. Agam;S. Argamon;O. Frieder

  • Finding an e-mail message to which another e-mail message is a response

    Kimberly A. Knowles;David Dolan Lewis

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • A sequential algorithm for training text classifiers: corrigendum and additional data

    David D. Lewis

  • On the Naive Bayes Model for Text Categorization.

    Susana Eyheramendy;David D. Lewis;David Madigan

  • Evaluating message understanding systems: an analysis of the third message understanding conference (MUC-3)

    Nancy Chinchor;David D. Lewis;Lynette Hirschman

Frequent Co-Authors

Ophir Frieder
Ophir Frieder Georgetown University
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Edith Cohen
Edith Cohen Tel Aviv University
William A. Gale
William A. Gale Salesforce (United States)
David Madigan
David Madigan Northeastern University
Robert E. Schapire
Robert E. Schapire Microsoft (United States)
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Karen Sparck Jones
Karen Sparck Jones University of Cambridge
Trevor J. M. Bench-Capon
Trevor J. M. Bench-Capon University of Liverpool
Douglas Walton
Douglas Walton University of Windsor

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 Computer Science in the USA often leads to interest in related fields and interdisciplinary career pathways. Many students find value in branching out to areas such as engineering and data science, which complement a computer science skill set.

One increasingly popular option is pursuing an environmental engineering online degree, which integrates computing with sustainability initiatives and real-world applications. Similarly, understanding the mechanical engineering degree cost can help you plan for a career at the intersection of hardware, robotics, and software systems.

For those who are interested in scientific research, an online physics degree provides strong analytical foundations and problem-solving skills that are highly valued in tech industries. If you are aiming for roles in analytics, AI, or big data, exploring the cheapest data science masters in usa can open doors to high-demand, lucrative career paths.

These online education options not only offer flexibility but also make advanced learning more affordable and accessible for students worldwide.

Best Scientists Citing David D. Lewis

Trending Scientists

Recently Published Articles