World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
11007
World Ranking
8640
National Ranking
3705

Thomas Erickson 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 Thomas Erickson 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Thomas Erickson 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 Thomas Erickson 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: 41 D-Index — 40th percentile

40% 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 Fellow For contributions to interaction design and social computing and for outstanding service to ACM.

Overview

Thomas Erickson is an independent scientist and consultant based in the United States. Their professional affiliation is listed as Independent Scientist / Consultant, indicating involvement in research and advisory roles outside conventional academic or institutional settings.

Erickson's recognized contributions lie in the areas of interaction design and social computing. These areas reflect a focus on the ways people interact with technologies and with each other through computational systems.

In 2009, Erickson was named an ACM Fellow, an award given for specific achievements in the field of computing. The citation for this recognition highlights their work in interaction design and social computing, as well as their service contributions to the Association for Computing Machinery (ACM).

Thomas Erickson's career has not been associated with a distinct body of frequent publications in particular venues, nor a network of frequent co-authors. There is no record of recent papers or book publications specifically attributed to them in the provided data.

The scientist's research does not list specific main fields of study, subfields, or defined main topics of work according to the available information. However, the award citation and affiliation suggest expertise oriented toward human-computer interaction, social computing, and design methodologies.

Best Publications

  • Social translucence: an approach to designing systems that support social processes

    Thomas Erickson;Wendy A. Kellogg

  • User interface system having programmable user interface elements

    Thomas D. Erickson;Kathleen M. Gomol;Eric A. Hulteen;S. Joy Mountford

  • From words to meaning: A semantic illusion

    Thomas D. Erickson;Mark E. Mattson

  • The knowledge management puzzle: human and social factors in knowledge management

    J. C. Thomas;W. A. Kellogg;T. Erickson

  • Socially translucent systems: social proxies, persistent conversation, and the design of “babble”

    Thomas Erickson;David N. Smith;Wendy A. Kellogg;Mark Laff

  • Working with interface metaphors

    Thomas D. Erickson

  • "I'd be overwhelmed, but it's just one more thing to do": availability and interruption in research management

    James M. Hudson;Jim Christensen;Wendy A. Kellogg;Thomas Erickson

  • Social interaction on the Net: virtual community as participatory genre

    T. Erickson

  • The adoption and use of 'BABBLE': a field study of chat in the workplace

    Erin Bradner;Wendy A. Kellogg;Thomas Erickson

  • Lingua Francas for design: sacred places and pattern languages

    Thomas Erickson

  • Social translucence: designing social infrastructures that make collective activity visible

    Thomas Erickson;Christine Halverson;Wendy A. Kellogg;Mark Laff

  • Notes on design practice: stories and prototypes as catalysts for communication

    Thomas Erickson

  • How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation

    Michael Muller;Ingrid Lange;Dakuo Wang;David Piorkowski

  • Next Steps for Human-Computer Integration

    Florian Floyd Mueller;Pedro Lopes;Paul Strohmeier;Wendy Ju

  • Some problems with the notion of context-aware computing

    Thomas Erickson

  • Putting it all together: towards a pattern language for interaction design: A CHI 97 workshop

    Elisabeth Bayle;Rachel Bellamy;George Casaday;Thomas Erickson

  • Social translucence: using minimalist visualisations of social activity to support collective interaction

    Thomas Erickson;Wendy A. Kellogg

  • The World-Wide-Web as social hypertext

    Thomas Erickson

  • Making sense of computer-mediated communication (CMC): conversations as genres, CMC systems as genre ecologies

    T. Erickson

  • Persistant Conversation: An Introduction

    Thomas Erickson

  • SOCIAL TRANSLUCENCE DESIGNING SOCIAL INFRASTRUCTURE THAT MAKE COLLECTIE ACTIVITY VISIBLE

    Tracee Wolf;Mark Laff;Thomas Erickson;Christine Halverson

Frequent Co-Authors

David W. McDonald
David W. McDonald University of Washington
Wendy A. Kellogg
Wendy A. Kellogg IBM (United States)
Clifford A. Pickover
Clifford A. Pickover IBM (United States)
Rachel K. E. Bellamy
Rachel K. E. Bellamy IBM (United States)
Susan C. Herring
Susan C. Herring Indiana University
Mark S. Ackerman
Mark S. Ackerman University of Michigan–Ann Arbor
Amy Bruckman
Amy Bruckman Georgia Institute of Technology
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Barry Wellman
Barry Wellman University of Toronto
Milind R. Naphade
Milind R. Naphade Nvidia (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online options in related fields can enhance your career in Computer Science. For those interested in technical fundamentals, a strong choice is a best online physics degree—ideal for students who value analytical thinking and problem-solving.

If your focus is on big data or machine learning, check out the cheapest master in data science programs in the USA. These courses provide essential skills for growing fields like AI, business analytics, and data engineering.

For those interested in hardware, robotics, or IoT, consider enrolling in online electrical engineering courses USA. These programs build expertise in electronics, circuits, and embedded systems.

Additionally, gaining certifications for jobs can quickly boost your employability. Certifications like CompTIA, AWS, or Google Professional often lead to well-paying entry-level tech roles.

By exploring these diverse educational pathways, you can customize your studies to match your personal interests and career ambitions in technology.

Best Scientists Citing Thomas Erickson

Trending Scientists

Recently Published Articles