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Computer Science
USA
2026

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Best Female Scientists

D-Index
119
Citations
101960
World Ranking
567
National Ranking
338

Computer Science

D-Index
117
Citations
90928
World Ranking
164
National Ranking
95

Susan T. Dumais 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 Susan T. Dumais 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: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Susan T. Dumais 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 Susan T. Dumais 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: 117 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2015 - Fellow of the American Academy of Arts and Sciences
  • 2014 - ACM Athena Lecturer Award For contributions to algorithms and interfaces for interactive information retrieval.
  • 2011 - Member of the National Academy of Engineering For innovation and leadership in organizing, accessing, and interacting with information.
  • 2006 - ACM Fellow For research contributions to information retrieval and human-computer interaction.

Overview

Susan T. Dumais is affiliated with Microsoft in the United States and focuses on research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Science Applications, and Information Systems and Management.

Their research touches on multiple main topics, which include:

  • Complex Network Analysis Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • Personal Information Management and User Behavior
  • Usability and User Interface Design
  • Machine Learning and Data Classification
  • Music and Audio Processing
  • Web Data Mining and Analysis

Recent papers authored or co-authored by Susan T. Dumais include:

  • Meta Label Correction for Noisy Label Learning (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Towards Supporting Search over Trending Events with Social Media (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • Detecting Fake News With Weak Social Supervision (2020), published in IEEE Intelligent Systems
  • Configuring Audiences: A Case Study of Email Communication (2020), published in Proceedings of the ACM on Human-Computer Interaction
  • Characterizing Reading Time on Enterprise Emails (2020), published in arXiv (Cornell University)

They have frequently collaborated with the following co-authors:

  • Ahmed Hassan Awadallah
  • Guo-qing Zheng
  • Sanjay Kairam
  • Meredith Ringel Morris
  • Jaime Teevan

The venues in which Susan T. Dumais has published multiple works include:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the International AAAI Conference on Web and Social Media
  • IEEE Intelligent Systems
  • Proceedings of the ACM on Human-Computer Interaction
  • arXiv (Cornell University)

Awards received by Susan T. Dumais include:

  • Fellow of the American Academy of Arts and Sciences (2015)
  • ACM Athena Lecturer Award (2014) for contributions to algorithms and interfaces for interactive information retrieval
  • Member of the National Academy of Engineering (2011) for innovation and leadership in organizing, accessing, and interacting with information
  • ACM Fellow (2006) for research contributions to information retrieval and human-computer interaction

Best Publications

  • Indexing by Latent Semantic Analysis

    Scott Deerwester;Susan T. Dumais;George W. Furnas;Thomas K. Landauer

  • A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

    Thomas K. Landauer;Susan T. Dumais

  • Support vector machines

    M.A. Hearst;S.T. Dumais;E. Osman;J. Platt

  • Using linear algebra for intelligent information retrieval

    Michael W. Berry;Susan T. Dumais;Gavin W. O'Brien

  • A Bayesian Approach to Filtering Junk E-Mail

    Mehran Sahami;Susan Dumais;David Heckerman;Eric Horvitz

  • Inductive learning algorithms and representations for text categorization

    Susan Dumais;John Platt;David Heckerman;Mehran Sahami

  • The vocabulary problem in human-system communication

    G. W. Furnas;T. K. Landauer;L. M. Gomez;S. T. Dumais

  • Improving web search ranking by incorporating user behavior information

    Eugene Agichtein;Eric Brill;Susan Dumais

  • Latent Semantic Analysis.

    Susan T. Dumais

  • Hierarchical classification of Web content

    Susan Dumais;Hao Chen

  • Personalizing search via automated analysis of interests and activities

    Jaime Teevan;Susan T. Dumais;Eric Horvitz

  • Stuff I've Seen: A System for Personal Information Retrieval and Re-Use

    Susan Dumais;Edward Cutrell;J. J. Cadiz;Gavin Jancke

  • A technique which utilizes a probabilistic classifier to detect "junk" e-mail

    Eric Horvitz;David E. Heckerman;Susan T. Dumais;Mehran Sahami

  • Characterizing Microblogs with Topic Models

    Daniel Ramage;Susan T. Dumais;Daniel J. Liebling

  • Using latent semantic analysis to improve access to textual information

    S. T. Dumais;G. W. Furnas;T. K. Landauer;S. Deerwester

  • Personalized information delivery: an analysis of information filtering methods

    Peter W. Foltz;Susan T. Dumais

  • Improving the retrieval of information from external sources

    Susan T. Dumais

  • Computer information retrieval using latent semantic structure

    Scott Craig Deerwester;Susan Theresa Dumais;George William Furnas;Richard Allan Harshman

  • Evaluating implicit measures to improve web search

    Steve Fox;Kuldeep Karnawat;Mark Mydland;Susan Dumais

  • Bringing order to the Web: automatically categorizing search results

    Hao Chen;Susan Dumais

  • Latent semantic analysis

    Thomas K. Landauer;Susan T. Dumais

Frequent Co-Authors

Jaime Teevan
Jaime Teevan Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Paul N. Bennett
Paul N. Bennett Microsoft (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
Thomas K. Landauer
Thomas K. Landauer University of Colorado Boulder
George W. Furnas
George W. Furnas University of Michigan–Ann Arbor
Edward Cutrell
Edward Cutrell Microsoft (United States)
Eric Brill
Eric Brill Microsoft (United States)
Kevyn Collins-Thompson
Kevyn Collins-Thompson University of Michigan–Ann Arbor
Ahmed Hassan Awadallah
Ahmed Hassan Awadallah Microsoft (United States)

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