World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
24313
World Ranking
2688
National Ranking
1334

Peter Pirolli 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 Peter Pirolli 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: 172 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Peter Pirolli 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 Peter Pirolli 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: 63 D-Index — 81st percentile

81% 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 - Fellow, National Academy of Inventors
  • 2004 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Peter Pirolli is affiliated with the Florida Institute for Human and Machine Cognition in the United States. Their research primarily spans the field of Computer Science, with significant contributions to subfields including Artificial Intelligence, Cardiology and Cardiovascular Medicine, Modeling and Simulation, Statistical and Nonlinear Physics, and Experimental and Cognitive Psychology.

Their work covers a diverse range of main topics, prominently featuring COVID-19 epidemiological studies, Heart Rate Variability and Autonomic Control, Mental Health Research, Explainable Artificial Intelligence (XAI), Reinforcement Learning in Robotics, AI-based Problem Solving and Planning, and Vagus Nerve Stimulation Research.

Recent publications by Peter Pirolli include the following papers:

  • "Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Toward a Psychology of Deep Reinforcement Learning Agents Using a Cognitive Architecture" (2021), published in Topics in Cognitive Science
  • "Resting-state heart rate variability after stressful events as a measure of stress tolerance among elite performers" (2023), published in Frontiers in Physiology
  • "Transcutaneous cervical vagus nerve stimulation enhances second-language vocabulary acquisition while simultaneously mitigating fatigue and promoting focus" (2024), published in Scientific Reports
  • "Explaining autonomous drones: An XAI journey" (2021), published in Applied AI Letters

Frequent co-authors of Peter Pirolli include:

  • Christian Lebière
  • Konstantinos Mitsopoulos
  • Toshiya Miyatsu
  • Timothy J. Broderick
  • Mark T. Orr

Peter Pirolli's works have been often published in venues such as:

  • arXiv (Cornell University)
  • Topics in Cognitive Science
  • Frontiers in Epidemiology
  • Frontiers in Physiology
  • Scientific Reports

The scientist has been recognized with several awards, including being named a Fellow of the National Academy of Inventors in 2017 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2004.

Best Publications

  • Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network

    Bongwon Suh;Lichan Hong;Peter Pirolli;Ed H. Chi

  • A focus+context technique based on hyperbolic geometry for visualizing large hierarchies

    John Lamping;Ramana Rao;Peter Pirolli

  • System and method for permitting use of content

    Mark J. Stefik;Peter L.T. Pirolli

  • SYSTEM FOR CONTROLLING USE AND DISTRIBUTION OF DIGITAL WORK HAVING FEE REPORTING MECHANISM

    Stefik Mark J;Merkle Ralph C;Pirolli Peter L T

  • Strong Regularities in World Wide Web Surfing

    Bernardo A. Huberman;Peter L. T. Pirolli;James E. Pitkow;Rajan M. Lukose

  • Information Foraging

    Unknown

  • The cost structure of sensemaking

    Daniel M. Russell;Mark J. Stefik;Peter Pirolli;Stuart K. Card

  • Information foraging theory

    Peter L. T. Pirolli

  • Silk from a sow's ear: extracting usable structures from the Web

    Peter Pirolli;James Pitkow;Ramana Rao

  • Information foraging in information access environments

    Peter Pirolli;Stuart Card

  • Using information scent to model user information needs and actions and the Web

    Ed H. Chi;Peter Pirolli;Kim Chen;James Pitkow

  • The role of learning from examples in the acquisition of recursive programming skills.

    Peter L. Pirolli;John R. Anderson

  • Mining longest repeating subsequences to predict world wide web surfing

    James Pitkow;Peter Pirolli

  • SNIF-ACT: a cognitive model of user navigation on the world wide web

    Wai-Tat Fu;Peter Pirolli

  • Scatter/gather browsing communicates the topic structure of a very large text collection

    Peter Pirolli;Patricia Schank;Marti Hearst;Christine Diehl

  • The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site

    Ed H. Chi;Peter Pirolli;James Pitkow

  • Method and system for providing search based on topic

    Stuart K Card;Lichan Hong;Peter L Pirolli;Mark J Stefik

  • SNIF-ACT: a model of information foraging on the world wide web

    Peter Pirolli;Wai-Tat Fu

  • Using thumbnails to search the Web

    Allison Woodruff;Andrew Faulring;Ruth Rosenholtz;Julie Morrsion

  • Visualizing the evolution of Web ecologies

    Ed H. Chi;James Pitkow;Jock Mackinlay;Peter Pirolli

  • Information scent as a driver of Web behavior graphs: results of a protocol analysis method for Web usability

    Stuart K. Card;Peter Pirolli;Mija Van Der Wege;Julie B. Morrison

Frequent Co-Authors

Mark J. Stefik
Mark J. Stefik Palo Alto Research Center
Ed H. Chi
Ed H. Chi Google (United States)
James E. Pitkow
James E. Pitkow Palo Alto Research Center
Stuart K. Card
Stuart K. Card Stanford University
Francine R. Chen
Francine R. Chen FX Palo Alto Laboratory
Lichan Hong
Lichan Hong Google (United States)
Ashwin Ram
Ashwin Ram Georgia Institute of Technology
Christian Lebiere
Christian Lebiere Carnegie Mellon University
John R. Anderson
John R. Anderson Carnegie Mellon University
Daniel M. Russell
Daniel M. Russell University of Zurich

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