World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
21627
World Ranking
9929
National Ranking
4173

George Siemens 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 George Siemens 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: 81 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

George Siemens 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 George Siemens 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

George Siemens is affiliated with The University of Texas at Arlington in the United States. Their primary field of study is Computer Science, with a focus on Computer Science Applications and Artificial Intelligence. They also have research interests spanning Developmental and Educational Psychology, Education, and Cognitive Neuroscience.

The scientist's recent research contributions are concentrated in the domain of artificial intelligence and its role in education and learning environments. Recent papers include "A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour" (2024) published in the International Journal of Educational Technology in Higher Education; "Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?" (2022) in Computers and Education Artificial Intelligence; and "Impact of AI assistance on student agency" (2023) in Computers & Education.

Other notable publications are "Empowering learners for the age of artificial intelligence" (2023) in Computers and Education Artificial Intelligence and "Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review" (2023) also featured in Computers and Education Artificial Intelligence.

The frequent co-authors associated with George Siemens include:

  • Srécko Joksimovíc
  • Rebecca Marrone
  • Maarten de Laat
  • Dragan Gašević
  • Shane Dawson

Publication venues where George Siemens has appeared multiple times are:

  • Computers and Education Artificial Intelligence
  • International Journal of Educational Technology in Higher Education
  • Computers & Education
  • Computers in Human Behavior
  • Journal of Learning Analytics

Their research primarily addresses topics such as:

  • Online Learning and Analytics
  • Explainable Artificial Intelligence (XAI)
  • Innovative Teaching and Learning Methods
  • Intelligent Tutoring Systems and Adaptive Learning
  • Cognitive Science and Mapping
  • E-Learning and Knowledge Management
  • Ethics and Social Impacts of AI

Best Publications

  • Connectivism: A Learning Theory for the Digital Age

    George Siemens

  • Penetrating the Fog: Analytics in Learning and Education.

    George Siemens;Phil Long

  • Learning analytics and educational data mining: towards communication and collaboration

    George Siemens;Ryan S. J. d. Baker

  • The MOOC model for digital practice

    Alexander McAuley;Bonnie Stewart;George Siemens;Dave Cormier

  • Let’s not forget: Learning analytics are about learning

    Dragan Gašević;Shane Dawson;George Siemens

  • Learning Analytics The Emergence of a Discipline

    George Siemens

  • Ethical and privacy principles for learning analytics

    Abelardo Pardo;George Siemens

  • Connectivism: Learning as Network-Creation

    G. J. Siemens

  • Learning analytics: envisioning a research discipline and a domain of practice

    George Siemens

  • Handbook of Emerging Technologies for Learning

    George Siemens;Peter Tittenberger

  • Preparing for the Digital University: A Review of the History and Current State of Distance, Blended and Online Learning

    George Siemens;George Siemens;Dragan Gašević;Shane Dawson

  • Where is Research on Massive Open Online Courses Headed? A Data Analysis of the MOOC Research Initiative

    Dragan Gaševic;Vitomir Kovanovic;Vitomir Kovanovic;Srecko Joksimovic;Srecko Joksimovic;George Siemens

  • Guest Editorial-Learning and Knowledge Analytics

    George Siemens;Dragan Gasevic

  • The Cambridge Handbook of the Learning Sciences: Educational Data Mining and Learning Analytics

    Ryan Baker;George Siemens

  • CONECTIVISMO: UNA TEORÍA DE APRENDIZAJE PARA LA ERA DIGITAL

    George Siemens;Diego E. Leal Fonseca

  • Handbook of Learning Analytics

    Charles Lang;George Siemens;Alyssa Wise;Dragan Gasevic

  • Open Learning Analytics: an integrated modularized platform

    George Siemens;Dragan Gašević;Caroline Haythornthwaite;Shane Dawson

  • Current state and future trends: a citation network analysis of the learning analytics field

    Shane Dawson;Dragan Gašević;George Siemens;Srecko Joksimovic

  • What public media reveals about MOOCs: A systematic analysis of news reports

    Vitomir Kovanović;Srećko Joksimović;Dragan Gašević;George Siemens

  • Towards automated content analysis of discussion transcripts: a cognitive presence case

    Vitomir Kovanović;Srećko Joksimović;Zak Waters;Dragan Gašević

  • The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs

    Vincent Aleven;Jonathan Sewall;Octav Popescu;Franceska Xhakaj

Frequent Co-Authors

Dragan Gasevic
Dragan Gasevic Monash University
Vitomir Kovanović
Vitomir Kovanović University of South Australia
Shane Dawson
Shane Dawson University of South Australia
Marek Hatala
Marek Hatala Simon Fraser University
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University
Abelardo Pardo
Abelardo Pardo University of Adelaide
Martin Weller
Martin Weller The Open University
Gráinne Conole
Gráinne Conole University of Leicester
Vincent Aleven
Vincent Aleven Carnegie Mellon University

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

As you consider studying Computer Science in the USA, it’s important to know that many accredited universities offer flexible alternatives online. For those concerned about past academic performance, several online graduate schools with low gpa requirements provide accessible pathways to start or advance your education.

Interested in a faster route? Look into an accelerated computer science degree program. These options are ideal for motivated students and career changers who want to earn their qualifications in less time than traditional programs.

If you’re passionate about the environment, you may explore not only computer science but also related fields. Wondering what can i do with an environmental science degree? Careers range from sustainability analysis to roles in government and industry, with many intersections in data analysis and technology.

Affordability is also a key factor. Consider the cheapest online environmental science degree options if you want to expand your expertise without overextending your budget.

Best Scientists Citing George Siemens

Trending Scientists