World's Best Scientists 2026 revealed!
Michael D. Byrne

Michael D. Byrne

D-Index & Metrics

Computer Science

D-Index
32
Citations
9286
World Ranking
12871
National Ranking
5191

Michael D. Byrne 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 Michael D. Byrne 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Michael D. Byrne 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 Michael D. Byrne 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Michael D. Byrne is affiliated with Rice University in the United States. Their research spans multiple fields, with a significant focus on computer science and social sciences. Within these domains, Byrne has contributed to subfields including artificial intelligence, sociology and political science, information systems, pulmonary and respiratory medicine, and human-computer interaction.

Their work covers several main topics such as privacy, security, and data protection, internet traffic analysis and secure e-voting, user authentication and security systems, hate speech and cyberbullying detection, usability and user interface design, cerebrovascular and carotid artery diseases, and intracranial aneurysms treatment and complications.

Recent publications authored or co-authored by Byrne include:

  • "Voter Verification of Ballot Marking Device Ballots Is a Two-Part Question: Can They? Mostly, They Can. Do They? Mostly, They Don't" (2020), published in Election Law Journal Rules Politics and Policy
  • "Evaluation of Robotic-Assisted Carotid Artery Stenting in a Virtual Model Using Motion-Based Performance Metrics" (2022), published in Journal of Endovascular Therapy
  • "Velocity-Domain Motion Quality Measures for Surgical Performance Evaluation and Feedback" (2020), published in Journal of Medical Devices
  • "The environmental basis of memory." (2022), published in Psychological Review
  • "Can Voters Detect Errors on Their Printed Ballots? Absolutely" (2022), published in arXiv (Cornell University)

Byrne frequently collaborates with other researchers. Notable frequent co-authors include Philip Kortum, Annlyle Diokno, Barathwaj Murali, Marcia K. O'Malley, and Julie Whitmore.

Their research has been published extensively in venues including:

  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • arXiv (Cornell University)
  • Journal of Endovascular Therapy
  • Election Law Journal Rules Politics and Policy
  • Psychological Review

Best Publications

  • An Integrated Theory of the Mind.

    John R. Anderson;Daniel Bothell;Michael D. Byrne;Scott Douglass

  • Eye tracking the visual search of click-down menus

    Michael D. Byrne;John R. Anderson;Scott Douglass;Michael Matessa

  • ACT-R/PM and menu selection

    Michael D. Byrne

  • Evaluating animations as student aids in learning computer algorithms

    Michael D. Byrne;Richard Catrambone;John T. Stasko

  • The tangled Web we wove: a taskonomy of WWW use

    Michael D. Byrne;Bonnie E. John;Neil S. Wehrle;David C. Crow

  • Serial modules in parallel: the psychological refractory period and perfect time-sharing.

    Michael D. Byrne;John R. Anderson

  • Using icons to find documents: simplicity is critical

    Michael D. Byrne

  • Cognitive architecture

    Michael D. Byrne

  • Modeling the visual search of displays: a revised ACT-R model of icon search based on eye-tracking data

    Michael D. Fleetwood;Michael D. Byrne

  • Effects of scent and breadth on use of site-specific search on e-commerce Web sites

    Michael A. Katz;Michael D. Byrne

  • A comparison of tools for building GOMS models

    Lynn K. Baumeister;Bonnie E. John;Michael D. Byrne

  • Using Computational Cognitive Modeling to Diagnose Possible Sources of Aviation Error

    Michael D. Byrne;Alex Kirlik

  • Learning to Achieve Perfect Timesharing: Architectural Implications of Hazeltine, Teague, and Ivry (2002).

    John R. Anderson;Niels A. Taatgen;Michael D. Byrne

  • STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

    Susan Bell;Josh Benaloh;Michael D. Byrne;Dana DeBeauvoir

  • Automating interface evaluation

    Michael D. Byrne;D. Wood;Piyawadee Sukaviriya;James D. Foley

  • Usability of voting systems: baseline data for paper, punch cards, and lever machines

    Michael D. Byrne;Kristen K. Greene;Sarah P. Everett

  • Electronic voting machines versus traditional methods: improved preference, similar performance

    Sarah P. Everett;Kristen K. Greene;Michael D. Byrne;Dan S. Wallach

  • Modeling icon search in ACT-R/PM

    Michael D Fleetwood;Michael D Byrne

  • Do Algorithm Animations Aid Learning

    Michael Dwyer Byrne;Richard Catrambone;John T. Stasko

  • Measuring the Usability of Paper Ballots: Efficiency, Effectiveness, and Satisfaction

    Sarah P. Everett;Michael D. Byrne;Kristen K. Greene

  • STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

    Josh Benaloh;Mike Byrne;Philip Kortum;Neal McBurnett

Frequent Co-Authors

Marcia K. O'Malley
Marcia K. O'Malley Rice University
Philip Kortum
Philip Kortum Rice University
Dan S. Wallach
Dan S. Wallach Rice University
Christian Lebiere
Christian Lebiere Carnegie Mellon University
John R. Anderson
John R. Anderson Carnegie Mellon University
Bonnie E. John
Bonnie E. John IBM (United States)
John Stasko
John Stasko Georgia Institute of Technology
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Richard Catrambone
Richard Catrambone Georgia Institute of Technology
Alan Carr
Alan Carr University College Dublin

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