World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8073
World Ranking
7578
National Ranking
3289

James A. Reggia 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 James A. Reggia 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: 321 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

James A. Reggia 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 James A. Reggia 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

James A. Reggia is affiliated with the University of Maryland, College Park in the United States. Their research spans a range of topics primarily within computer science, neuroscience, and engineering, with a notable focus on artificial intelligence, cognitive neuroscience, and control and systems engineering as key subfields.

The core themes of their work include robot manipulation and learning, reinforcement learning in robotics, cognitive science and education research, EEG and brain-computer interfaces, motor control and adaptation, neural dynamics and brain function, and neural networks and applications.

They have published research papers in several venues, including the International Journal of Social Robotics, Neural Networks, the Journal of Artificial Intelligence and Consciousness, Physica Scripta, and Frontiers in Physics. Some of their recent publications include:

  • Artificial Conscious Intelligence, 2020, Journal of Artificial Intelligence and Consciousness
  • Generalizing Maxwell's equations to complex-valued electromagnetic fields, 2023, Physica Scripta

They frequently collaborate with other researchers. Notable co-authors include Garrett E. Katz, Rodolphe J. Gentili, Gregory P. Davis, Arya Teymourlouei, and Alexandra A. Shaver.

The scientist's work covers both theoretical and applied aspects within their fields of study, contributing to the understanding of neural dynamics, artificial consciousness, and robotics. Their interdisciplinary research connects artificial intelligence methodologies with neuroscience and engineering principles.

Best Publications

  • Abductive Inference Models for Diagnostic Problem-Solving

    Yun Peng;James A. Reggia

  • Diagnostic Expert Systems Based on a Set Covering Model

    James A. Reggia;Dana S. Nau;Pearl Y. Wang

  • A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference

    Yun Peng;James A. Reggia

  • A formal model of diagnostic inference. I. Problem formulation and decomposition

    James A. Reggia;Dana S. Nau;Pearl Y. Wang

  • Simple Systems That Exhibit Self-Directed Replication

    James A. Reggia;Steven L. Armentrout;Hui-Hsien Chou;Yun Peng

  • Progress in the Simulation of Emergent Communication and Language

    Kyle Wagner;James A. Reggia;Juan Uriagereka;Gerald S. Wilkinson

  • Empirically derived probabilities for grapheme-to-phoneme correspondences in english

    Rita Sloan Berndt;James A. Reggia;Charlotte C. Mitchum

  • A neural model of memory impairment in diffuse cerebral atrophy.

    Eytan Ruppin;James A. Reggia

  • A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy

    Yun Peng;James A. Reggia

  • A connectionist model for diagnostic problem solving

    Y. Peng;J.A. Reggia

  • Connectionist models and information retrieval

    T. E. Doszkocs;J. Reggia;Xia Lin

  • Emergence of self-replicating structures in a cellular automata space

    Hui-Hsien Chou;James A. Reggia

  • Plausibility of diagnostic hypotheses: the nature of simplicity

    Yun Peng;James A. Reggia

  • Automatic discovery of self-replicating structures in cellular automata

    J.D. Lohn;J.A. Reggia

  • A generalized LSTM-like training algorithm for second-order recurrent neural networks

    Derek Monner;James A. Reggia

  • Bloom’s Taxonomy of Learning Domains

    Denis Fischbacher-Smith;Moira Fischbacher-Smith;Julien Vitay;Fred H. Hamker

  • A competitive distribution theory of neocortical dynamics

    James A. Reggia;C. Lynne D'Autrechy;Granger G. Sutton;Michael Weinrich

  • Neural computation in medicine

    James A. Reggia

  • Go forth and replicate.

    Moshe Sipper;James A. Reggia

  • A computational model of visual hallucinations in migraine

    James A. Reggia;David Montgomery

Frequent Co-Authors

Yun Peng
Yun Peng University of Maryland, Baltimore County
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Dana S. Nau
Dana S. Nau University of Maryland, College Park
Granger G. Sutton
Granger G. Sutton J. Craig Venter Institute
Jose L. Contreras-Vidal
Jose L. Contreras-Vidal University of Houston
Sungzoon Cho
Sungzoon Cho Seoul National University
Rita Sloan Berndt
Rita Sloan Berndt University of Maryland, Baltimore
Natalia A. Shevtsova
Natalia A. Shevtsova Drexel University
Rafael Navarro-González
Rafael Navarro-González National Autonomous University of Mexico
Thomas R. Price
Thomas R. Price University of Maryland, Baltimore

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 degrees opens up flexible pathways for those interested in computer science and related fields. Many students seek a fast track computer science degree to jumpstart their careers by graduating sooner and entering the tech workforce with crucial skills.

Computer science isn’t the only option available online. You might be interested in a multidisciplinary approach by considering an environmental engineering bachelor's degree online. This degree offers expertise in sustainability and environmental solutions, aligning with the growing focus on green technology.

Another popular choice is a mechanical engineering degree online cost comparison, helping students find affordable programs that develop practical, real-world engineering skills. Meanwhile, those passionate about science and research may benefit from enrolling in the best online physics degree programs.

These diverse online degree options not only provide academic flexibility but also broaden your professional outlook, making it easier to choose a path tailored to your career goals in technology and beyond.

Best Scientists Citing James A. Reggia

Trending Scientists