World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
26326
World Ranking
1398
National Ranking
727

Ryan S. Baker 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 Ryan S. Baker 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: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Ryan S. Baker 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 Ryan S. Baker 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Ryan S. Baker is affiliated with the University of Pennsylvania in the United States. Their research spans multiple areas at the intersection of computer science and psychology, focusing extensively on educational technologies and learning analytics.

The main fields of study for Ryan S. Baker include Computer Science and Psychology, with notable subfields such as Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Education, and Experimental and Cognitive Psychology.

Their research topics cover varied aspects related to educational data and learning processes. Key topics include:

  • Online Learning and Analytics
  • Intelligent Tutoring Systems and Adaptive Learning
  • Innovative Teaching and Learning Methods
  • Educational Games and Gamification
  • Teaching and Learning Programming
  • Online and Blended Learning
  • Topic Modeling

Ryan S. Baker has contributed to a range of academic venues, frequently publishing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • International Journal of Artificial Intelligence in Education
  • Journal of Learning Analytics
  • Proceedings.

Among recent papers authored or co-authored by Ryan S. Baker are:

  • "Algorithmic Bias in Education," 2021, International Journal of Artificial Intelligence in Education
  • "Mining Big Data in Education: Affordances and Challenges," 2020, Review of Research in Education (note: authored by Christian Fischer)
  • "Cultural bias and cultural alignment of large language models," 2024, PNAS Nexus (note: authored by Yan Tao)
  • "The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis," 2020, Computers in Human Behavior (note: authored by Jodi Asbell-Clarke)
  • "Assessing implicit computational thinking in Zoombinis puzzle gameplay," 2021, Computers in Human Behavior (note: authored by Elizabeth Rowe)

Ryan S. Baker has frequently collaborated with several co-authors, including:

  • Jaclyn Ocumpaugh
  • Stephen Hutt
  • Amanda Barany
  • Andres Felipe Zambrano
  • Xiner Liu

Best Publications

  • The State of Educational Data Mining in 2009: A Review and Future Visions

    Ryan S.J.d. Baker;Kalina Yacef

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

    George Siemens;Ryan S. J. d. Baker

  • Educational Data Mining and Learning Analytics

    Ryan Shaun Baker;Paul Salvador Inventado;Paul Salvador Inventado

  • Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments

    Ryan S. J. d. Baker;Sidney K. D'Mello;Ma.Mercedes T. Rodrigo;Arthur C. Graesser

  • Off-task behavior in the cognitive tutor classroom: when students "game the system"

    Ryan Shaun Baker;Albert T. Corbett;Kenneth R. Koedinger;Angela Z. Wagner

  • Handbook of Educational Data Mining

    Cristobal Romero;Sebastian Ventura;Mykola Pechenizkiy;Ryan S.J.d. Baker

  • A review of recent advances in learner and skill modeling in intelligent learning environments

    Michel C. Desmarais;Ryan S. Baker

  • More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing

    Ryan S. Baker;Albert T. Corbett;Vincent Aleven

  • A Data Repository for the EDM Community: The PSLC DataShop

    Kenneth R. Koedinger;Ryan S. J. d. Baker;Kyle Cunningham;Alida Skogsholm

  • Detecting student misuse of intelligent tutoring systems

    Ryan Shaun Baker;Albert T. Corbett;Kenneth R. Koedinger

  • Algorithmic Bias in Education

    Ryan S. Baker;Aaron Hawn

  • Stupid Tutoring Systems, Intelligent Humans

    Ryan S. Baker

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

    Ryan Baker;George Siemens

  • Mining Big Data in Education: Affordances and Challenges:

    Christian Fischer;Zachary A. Pardos;Ryan Shaun Baker;Joseph Jay Williams

  • Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments

    Ryan Baker;Jason Walonoski;Neil Heffernan;Ido Roll

  • Open Learning Analytics: an integrated modularized platform

    George Siemens;Dragan Gašević;Caroline Haythornthwaite;Shane Dawson

  • Educational Data Mining and Learning Analytics: Applications to Constructionist Research.

    Matthew Berland;Ryan S. Baker;Paulo Blikstein

  • Adapting to when students game an intelligent tutoring system

    Ryan S. J. d. Baker;Albert T. Corbett;Kenneth R. Koedinger;Shelley Evenson

  • Who's Learning? Using Demographics in EDM Research

    Luc Paquette;Jaclyn Ocumpaugh;Ziyue Li;Alexandra Andres

  • Modeling and understanding students' off-task behavior in intelligent tutoring systems

    Ryan S.J.d. Baker

  • Developing a generalizable detector of when students game the system

    Ryan S. Baker;Albert T. Corbett;Ido Roll;Kenneth R. Koedinger

Frequent Co-Authors

Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Albert T. Corbett
Albert T. Corbett Carnegie Mellon University
Neil T. Heffernan
Neil T. Heffernan Worcester Polytechnic Institute
Vincent Aleven
Vincent Aleven Carnegie Mellon University
Ido Roll
Ido Roll Technion – Israel Institute of Technology
Valerie J. Shute
Valerie J. Shute Florida State University
Dragan Gasevic
Dragan Gasevic Monash University
Scott A. Crossley
Scott A. Crossley Vanderbilt University
Sidney K. D'Mello
Sidney K. D'Mello University of Colorado Boulder
Bruce M. McLaren
Bruce M. McLaren Carnegie Mellon University

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