World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
24041
World Ranking
6635
National Ranking
2929

Paul Smolensky 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 Paul Smolensky 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.

Paul Smolensky 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 Paul Smolensky 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: 46 D-Index — 53rd percentile

53% 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

  • 2005 - David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition
  • 1995 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Paul Smolensky is affiliated with Microsoft in the United States. Their research primarily lies in the field of Computer Science, with a strong focus on Artificial Intelligence. Their contributions span a range of topics including Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, Neural Networks and Applications, Multimodal Machine Learning Applications, Cognitive Science and Mapping, and Phonetics and Phonology Research.

Their scholarly output includes numerous publications, many of which are featured in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the Society for Computation in Linguistics
  • AI Magazine
  • Transactions of the Association for Computational Linguistics
  • Cognitive Science

Notable recent papers by Paul Smolensky include:

  • Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems (2022, AI Magazine)
  • How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN (2023, Transactions of the Association for Computational Linguistics)
  • Compositional Processing Emerges in Neural Networks Solving Math Problems (2021, arXiv (Cornell University))
  • Emergent Gestural Scores in a Recurrent Neural Network Model of Vowel Harmony (2021, Proceedings of the Society for Computation in Linguistics)
  • How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN (2021, arXiv (Cornell University))

Throughout their career, Paul Smolensky has collaborated frequently with several researchers. Their frequent coauthors include:

  • Roland Fernandez
  • Jianfeng Gao
  • R. Thomas McCoy
  • Aslı Çelikyılmaz
  • Tal Linzen

Paul Smolensky has been recognized with awards such as the David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition in 2005 and held a fellowship at the John Simon Guggenheim Memorial Foundation in 1995.

Best Publications

  • Optimality Theory: Constraint Interaction in Generative Grammar

    Alan S. Prince;Paul Smolensky

  • On the proper treatment of connectionism

    Paul Smolensky

  • Information processing in dynamical systems: foundations of harmony theory

    P. Smolensky

  • Schemata and sequential thought processes in PDP models

    D. E. Rumelhart;P. Smolensky;J. L. McClelland;G. E. Hinton

  • Tensor product variable binding and the representation of symbolic structures in connectionist systems

    P. Smolensky

  • Learnability in Optimality Theory

    Bruce Tesar;Paul Smolensky

  • Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment

    Michael C. Mozer;Paul Smolensky

  • Optimality: From Neural Networks to Universal Grammar

    Alan Prince;Paul Smolensky

  • Using Relevance to Reduce Network Size Automatically

    Michael C. Mozer;Paul Smolensky

  • Connectionist AI, symbolic AI, and the brain

    Paul Smolensky

  • Learning biases predict a word order universal

    Jennifer Culbertson;Paul Smolensky;Géraldine Legendre

  • The Learnability of Optimality Theory: An Algorithm and Some Basic Complexity Results

    Bruce Tesar;Paul Smolensky

  • When is less more? Faithfulness and minimal links in wh-chains

    Geraldine Legendre;Paul Smolensky;Colin Wilson

  • Optimization and Quantization in Gradient Symbol Systems: A Framework for Integrating the Continuous and the Discrete in Cognition

    Paul Smolensky;Matthew Goldrick;Donald Mathis

  • Tensor Product Production System: a Modular Architecture and Representation

    Charles P. Dolan;Paul Smolensky

  • Neural and conceptual interpretation of PDP models

    P. Smolensky

  • Optimality Theory: Constraint Interaction in Generative Grammar ; CU-CS-696-93

    Alan Prince;Paul Smolensky

  • Typological Consequences of Local Constraint Conjunction

    Elliot Moreton;Paul Smolensky

  • An Optimality-Theoretic Typology of Case and Grammatical Voice Systems

    Géraldine Legendre;William Raymond;Paul Smolensky

  • Grammar-based connectionist approaches to language

    Paul Smolensky

  • Harmonic Grammar -- A Formal Multi-Level Connectionist Theory of Linguistic Well-Formedness: An Application ; CU-CS-464-90

    Geraldine Legendre;Yoshiro Miyata;Paul Smolensky

  • Optimality-Theoretic Syntax

    Fabian Heck;Gereon Müller;Alan Prince;Paul Smolensky

  • Proceedings of the 40th Annual Meeting of the North East Linguistic Society

    Jennifer Culbertson;Paul Smolensky;Géraldine Legendre

Frequent Co-Authors

Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Michael C. Mozer
Michael C. Mozer Google (United States)
Li Deng
Li Deng Citadel
Matthew Goldrick
Matthew Goldrick Northwestern University
Tal Linzen
Tal Linzen New York University
Kenneth D. Forbus
Kenneth D. Forbus Northwestern University
Barbara A. Fox
Barbara A. Fox University of Colorado Boulder
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Peter W. Jusczyk
Peter W. Jusczyk Johns Hopkins University
Dapeng Wu
Dapeng Wu City University of Hong Kong

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