World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6229
World Ranking
10706
National Ranking
4474

Chirag Shah 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 Chirag Shah 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: 293 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Chirag Shah 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 Chirag Shah 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: 37 D-Index — 27th percentile

27% 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

  • 2017 - ACM Senior Member

Overview

Chirag Shah is affiliated with the University of Washington in the United States and specializes in computer science with a focus on artificial intelligence, information systems, and safety research. Their work encompasses several subfields including sociology and political science, as well as applications of computer science. The main topics covered in their research involve ethics and social impacts of AI, recommender systems and techniques, topic modeling, mobile crowdsensing and crowdsourcing, explainable artificial intelligence (XAI), information retrieval and search behavior, and privacy-preserving technologies in data.

Among their recent publications are:

  • "Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review" (2024, ACM Computing Surveys)
  • "Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?" (2024, ACM Transactions on the Web)
  • "Why Am I Not Seeing It? Understanding Users' Needs for Counterfactual Explanations in Everyday Recommendations" (2022, 2022 ACM Conference on Fairness, Accountability, and Transparency)
  • "An iSchool approach to data science: Human-centered, socially responsible, and context-driven" (2021, Journal of the Association for Information Science and Technology)
  • "Fairness-Aware Explainable Recommendation over Knowledge Graphs" (2020, arXiv - Cornell University)

The scientist has co-authored extensively with several colleagues, including Ryen W. White, Ruoyuan Gao, Yunhe Feng, Sahil Verma, and Reid Andersen.

Their research output has frequently appeared in notable publication venues such as arXiv (Cornell University), SSRN Electronic Journal, Journal of the Association for Information Science and Technology, ACM Transactions on the Web, and Communications of the ACM.

Chirag Shah has also contributed to the academic community through book publications. Two notable works include "A Hands-On Introduction to Data Science" published by Cambridge University Press in 2020 and "Task Intelligence for Search and Recommendation," published by Morgan & Claypool Publishers in 2021.

They have been recognized as an ACM Senior Member since 2017.

Best Publications

  • Evaluating and predicting answer quality in community QA

    Chirag Shah;Jefferey Pomerantz

  • Agenda Setting in a Digital Age: Tracking Attention to California Proposition 8 in Social Media, Online News and Conventional News

    Ben Sayre;Leticia Bode;Dhavan Shah;Dave Wilcox

  • Algorithmic mediation for collaborative exploratory search

    Jeremy Pickens;Gene Golovchinsky;Chirag Shah;Pernilla Qvarfordt

  • Fairness-Aware Explainable Recommendation over Knowledge Graphs

    Zuohui Fu;Yikun Xian;Ruoyuan Gao;Jieyu Zhao

  • Collaborative information seeking

    Chirag Shah

  • Evaluating the synergic effect of collaboration in information seeking

    Chirag Shah;Roberto González-Ibáñez

  • Exploring characteristics and effects of user participation in online social Q&A sites

    Chirag Shah;Jung Sun Oh;Sanghee Oh

  • Awareness in collaborative information seeking

    Chirag Shah;Gary Marchionini

  • Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All

    Chirag Shah

  • Situating Search

    Unknown

  • Collaborative Information Seeking: A Literature Review

    Chirag Shah

  • Coagmento - A Collaborative Information Seeking, Synthesis, and Sense-making Framework

    Chirag Shah

  • Exploring information seeking processes in collaborative search tasks

    Chirag Shah;Roberto González-Ibáñez

  • Toward creating a fairer ranking in search engine results

    Ruoyuan Gao;Chirag Shah

  • Evaluating high accuracy retrieval techniques

    Chirag Shah;W. Bruce Croft

  • User Activity Patterns During Information Search

    Michael J. Cole;Chathra Hendahewa;Nicholas J. Belkin;Chirag Shah

  • Collaborative user network embedding for social recommender systems

    Chuxu Zhang;Lu Yu;Yan Wang;Chirag Shah

  • Social Q&A and virtual reference—comparing apples and oranges with the help of experts and users

    Chirag Shah;Vanessa Kitzie

  • UMass at TDT 2004

    Margaret Connell;Ao Feng;Giridhar Kumaran;Hema Raghavan

  • Coagmento : A System for Supporting Collaborative Information Seeking

    Roberto I. González-Ibáñez;Chirag Shah

  • Role-based results redistribution for collaborative information retrieval

    Chirag Shah;Jeremy Pickens;Gene Golovchinsky

Frequent Co-Authors

Frank A. Vicini
Frank A. Vicini Beaumont Health
Alvaro Martinez
Alvaro Martinez Beaumont Health
Nicholas J. Belkin
Nicholas J. Belkin Rutgers, The State University of New Jersey
Gary Marchionini
Gary Marchionini University of North Carolina at Chapel Hill
Di Yan
Di Yan Beaumont Health
Diane Kelly
Diane Kelly University of Tennessee at Knoxville
Larry L. Kestin
Larry L. Kestin Beaumont Health
Abram Recht
Abram Recht Beth Israel Deaconess Medical Center
Bruce G. Haffty
Bruce G. Haffty Rutgers, The State University of New Jersey
Ryen W. White
Ryen W. White Microsoft (United States)

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