World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8451
World Ranking
7561
National Ranking
2074

Ron Sun publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ron Sun sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 177 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ron Sun D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ron Sun sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to cognitive architectures and computations

Overview

Ron Sun is affiliated with Rensselaer Polytechnic Institute in the United States and has contributed extensively to research in cognitive science and artificial intelligence. Their work spans multiple interdisciplinary fields, predominantly within computer science and psychology.

The main fields of study that Ron Sun focuses on are:

  • Computer Science
  • Psychology

The subfields of study that characterize their research include:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Social Psychology
  • General Decision Sciences

Ron Sun's research topics generally cover:

  • Cognitive Science and Mapping
  • Decision-Making and Behavioral Economics
  • Neural and Behavioral Psychology Studies
  • Cognitive Science and Education Research
  • Cultural Differences and Values
  • Categorization, perception, and language
  • Language and cultural evolution

Their recent publications demonstrate ongoing contributions to cognitive architectures, motivation-performance phenomena, and hybrid neural-symbolic models. Selected recent papers include:

  • "A unified framework for interpreting a range of motivation-performance phenomena," 2021, Cognitive Systems Research
  • "Dual-process theories, cognitive architectures, and hybrid neural-symbolic models," 2024, Neurosymbolic Artificial Intelligence
  • "Exploring culture from the standpoint of a cognitive architecture," 2020, Philosophical Psychology
  • "Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?", 2024, arXiv (Cornell University)

Additional publication venues where Ron Sun frequently publishes are:

  • arXiv (Cornell University)
  • Cognitive Systems Research
  • Neurosymbolic Artificial Intelligence
  • Cognitive Computation
  • Philosophical Psychology

The scientist has collaborated regularly with several coauthors, including:

  • Sergei Bugrov
  • David Yun Dai
  • Nicholas R. Wilson
  • Joseph Killian
  • Joseph A. Allen

In recognition of their contributions to the field, Ron Sun was named an IEEE Fellow in 2013 for work related to cognitive architectures and computational models.

Best Publications

  • From implicit skills to explicit knowledge: a bottom-up model of skill learning

    Ron Sun;Edward Merrill;Todd Peterson

  • The interaction of the explicit and the implicit in skill learning: a dual-process approach.

    Ron Sun;Paul Slusarz;Chris Terry

  • Incubation, insight, and creative problem solving: a unified theory and a connectionist model.

    Sébastien Hélie;Ron Sun

  • Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation

    Ron Sun

  • Duality of the Mind: A Bottom-up Approach Toward Cognition

    Ron Sun

  • Robust reasoning: integrating rule-based and similarity-based reasoning

    Ron Sun

  • From implicit skills to explicit knowledge: a bottom‐up model of skill learning

    Unknown

  • The Cambridge Handbook of Computational Psychology

    Ron Sun

  • An Overview of Hybrid Neural Systems

    Stefan Wermter;Ron Sun

  • Integrating Rules and Connectionism for Robust Commonsense Reasoning

    Ron Sun

  • Desiderata for cognitive architectures

    Ron Sun

  • Hybrid neural systems

    Stefan Wermter;Ron Sun

  • The importance of cognitive architectures: an analysis based on CLARION

    Ron Sun

  • Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art

    Lawrence A. Bookman;Ron Sun

  • Connectionist inference models

    Antony Browne;Ron Sun

  • Top-down versus bottom-up learning in cognitive skill acquisition

    Ron Sun;Xi Zhang

  • Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

    Ron Sun;Frederic Alexandre

  • On Variable Binding in Connectionist Networks

    Ron Sun

  • Sequence learning: from recognition and prediction to sequential decision making

    R. Sun;C.L. Giles

  • Motivational Representations within a Computational Cognitive Architecture

    Ron Sun

  • Learning, action and consciousness: a hybrid approach toward modelling consciousness

    Ron Sun

  • Computational Architectures Integrating Neural And Symbolic Processes

    Ron Sun;Lawrence A. Bookman

  • Autonomous learning of sequential tasks: experiments and analyses

    R. Sun;T. Peterson

  • Symbol grounding: A new look at an old idea

    Ron Sun

Frequent Co-Authors

Stefan Wermter
Stefan Wermter Universität Hamburg
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Jiming Liu
Jiming Liu Hong Kong Baptist University
Gal A. Kaminka
Gal A. Kaminka Bar-Ilan University
Gerald Tesauro
Gerald Tesauro IBM (United States)
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Charles X. Ling
Charles X. Ling University of Western Ontario
David A. Gallo
David A. Gallo University of Chicago
Gordon G. Gallup
Gordon G. Gallup University at Albany, State University of New York

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:

Best Scientists Citing Ron Sun

Trending Scientists

Recently Published Articles