World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5597
World Ranking
12089
National Ranking
4923

Michelle X. Zhou 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 Michelle X. Zhou 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Michelle X. Zhou 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 Michelle X. Zhou 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: 34 D-Index — 16th percentile

16% 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

  • 2009 - ACM Distinguished Member
  • 2007 - ACM Senior Member

Overview

Michelle X. Zhou is affiliated with IBM in the United States. Their research spans several intersecting fields, primarily focusing on artificial intelligence and human-computer interaction.

Their recent scholarly work includes:

  • "Tell Me About Yourself" (2020), published in ACM Transactions on Computer-Human Interaction
  • "Intelligence Augmentation: Towards Building Human-machine Symbiotic Relationship" (2021), published in AIS Transactions on Human-Computer Interaction
  • "From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues" (2023), published in AIS Transactions on Human-Computer Interaction
  • "Putting the "I" in Interaction: Interactive Interfaces Personalized to Individuals" (2020), published in IEEE Computer Graphics and Applications
  • "Perception is reality? Understanding user perceptions of chatbot-inferred versus self-reported personality traits" (2024), published in Computers in Human Behavior Artificial Humans

Their collaborative efforts include frequent co-authorship with:

  • Ziang Xiao
  • Gloria Mark
  • Huahai Yang
  • Lina Zhou
  • Souren Paul

Michelle X. Zhou has contributed to these publication venues multiple times:

  • ACM Transactions on Interactive Intelligent Systems (3 publications)
  • AIS Transactions on Human-Computer Interaction (2 publications)
  • UNC Libraries (2 publications)
  • ACM Transactions on Computer-Human Interaction (1 publication)
  • Computers in Human Behavior Artificial Humans (1 publication)

Their research intersects with several subfields, including:

  • Artificial Intelligence
  • Social Psychology
  • Sociology and Political Science
  • Safety Research
  • Management Science and Operations Research

Main topics addressed in their work consist of:

  • AI in Service Interactions
  • Misinformation and Its Impacts
  • Data Visualization and Analytics
  • Personal Information Management and User Behavior
  • Social Robot Interaction and Human-Robot Interaction (HRI)
  • Speech and Dialogue Systems
  • Human-Automation Interaction and Safety

Michelle X. Zhou has been recognized by the Association for Computing Machinery (ACM) with awards including:

  • ACM Senior Member in 2007
  • ACM Distinguished Member in 2009

Best Publications

  • Characterizing users' visual analytic activity for insight provenance

    David Gotz;Michelle X. Zhou

  • Context preserving dynamic word cloud visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • Context-Preserving, Dynamic Word Cloud Visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • Visual task characterization for automated visual discourse synthesis

    Michelle X. Zhou;Steven K. Feiner

  • TIARA: a visual exploratory text analytic system

    Furu Wei;Shixia Liu;Yangqiu Song;Shimei Pan

  • LeadLine: Interactive visual analysis of text data through event identification and exploration

    Wenwen Dou;Xiaoyu Wang;Drew Skau;William Ribarsky

  • Proceedings of the 8th ACM Conference on Recommender systems

    Alfred Kobsa;Michelle Zhou;Martin Ester;Yehuda Koren

  • TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis

    Shixia Liu;Michelle X. Zhou;Shimei Pan;Yangqiu Song

  • Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions

    Ziang Xiao;Michelle X. Zhou;Q. Vera Liao;Gloria Mark

  • Trusting Virtual Agents: The Effect of Personality

    Michelle X. Zhou;Gloria Mark;Jingyi Li;Huahai Yang

  • Interactive, topic-based visual text summarization and analysis

    Shixia Liu;Michelle X. Zhou;Shimei Pan;Weihong Qian

  • KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences

    Liang Gou;Michelle X. Zhou;Huahai Yang

  • A probabilistic approach to reference resolution in multimodal user interfaces

    Joyce Y. Chai;Pengyu Hong;Michelle X. Zhou

  • PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media

    Jian Zhao;Liang Gou;Fei Wang;Michelle Zhou

  • Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information

    Kyumin Lee;Jalal Mahmud;Jilin Chen;Michelle Zhou

  • Topic and keyword re-ranking for LDA-based topic modeling

    Yangqiu Song;Shimei Pan;Shixia Liu;Michelle X. Zhou

  • Proceedings of the 17th ACM international conference on Multimedia

    Wen Gao;Yong Rui;Alan Hanjalic;Changsheng Xu

  • Understanding text corpora with multiple facets

    Lei Shi;Furu Wei;Shixia Liu;Li Tan

  • Negotiation for automated generation of temporal multimedia presentations

    Mukesh Dalal;Steven Feiner;Kathleen McKeown;Shimei Pan

  • Interactive Visual Synthesis of Analytic Knowledge

    D. Gotz;M.X. Zhou;V. Aggarwal

  • Data characterization for automatically visualizing heterogeneous information

    M.X. Zhou;S.K. Feiner

  • Characterizing users’ visual analytic activity for insight provenance

    D. Gotz;M.X. Zhou

Frequent Co-Authors

Shixia Liu
Shixia Liu Tsinghua University
Jeffrey Nichols
Jeffrey Nichols Apple (United States)
Weihong Qian
Weihong Qian Peking University
Gloria Mark
Gloria Mark University of California, Irvine
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Furu Wei
Furu Wei Microsoft (United States)
David Gotz
David Gotz University of North Carolina at Chapel Hill
Joyce Y. Chai
Joyce Y. Chai University of Michigan–Ann Arbor
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Li Chen
Li Chen Hong Kong Baptist University

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