World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
37753
World Ranking
5455
National Ranking
2487

David H. Wolpert 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 David H. Wolpert 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

David H. Wolpert 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 David H. Wolpert 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: 50 D-Index — 62nd percentile

62% 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

  • 2016 - IEEE Fellow For contributions to optimization, machine learning, distributed control, and game theory

Overview

David H. Wolpert is affiliated with the Santa Fe Institute in the United States. Their research primarily spans the field of Physics and Astronomy, with a focus on Statistical and Nonlinear Physics as a significant subfield.

The scientist's scholarly output includes contributions to several research topics such as Advanced Thermodynamics and Statistical Mechanics, Neural dynamics and brain function, Quantum Computing Algorithms and Architecture, Statistical Mechanics and Entropy, Quantum Mechanics and Applications, Origins and Evolution of Life, and Evolutionary Game Theory and Cooperation.

Frequent co-authors in their research collaborations include Artemy Kolchinsky, Farita Tasnim, Gülce Kardeş, Thomas E. Ouldridge, and James W. Bono.

David H. Wolpert has published numerous papers in various venues. The most common publication venues include arXiv (Cornell University), New Journal of Physics, Entropy, RePEc: Research Papers in Economics, and Physical Review E.

Selected recent papers by David H. Wolpert are:

  • Uncertainty Relations and Fluctuation Theorems for Bayes Nets, 2020, Physical Review Letters
  • Is stochastic thermodynamics the key to understanding the energy costs of computation?, 2024, Proceedings of the National Academy of Sciences
  • The Implications of the No-Free-Lunch Theorems for Meta-induction, 2023, Journal for General Philosophy of Science

Other notable related papers, although not authored by Wolpert, that intersect their research interests include:

  • Work, entropy production, and thermodynamics of information under protocol constraints, 2020, arXiv (Cornell University)
  • Scale and information-processing thresholds in Holocene social evolution, 2020, Nature Communications

David H. Wolpert's work also relates to themes such as optimization, machine learning, distributed control, and game theory, recognized by the award of IEEE Fellow in 2016 for contributions in these areas.

Best Publications

  • No free lunch theorems for optimization

    D.H. Wolpert;W.G. Macready

  • Original Contribution: Stacked generalization

    David H. Wolpert

  • The lack of a priori distinctions between learning algorithms

    David H. Wolpert

  • No Free Lunch Theorems for Search

    David H. Wolpert;William G. Macready

  • Bias plus variance decomposition for zero-one loss functions

    Ron Kohavi;David Wolpert

  • The Supervised Learning No-Free-Lunch Theorems

    David H. Wolpert

  • OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

    David H. Wolpert;Kagan Tumer

  • Covariation of mutations in the V3 loop of human immunodeficiency virus type 1 envelope protein: an information theoretic analysis.

    Bette T. M. Korber;Robert M. Farber;David H. Wolpert;Alan S. Lapedes

  • Coevolutionary free lunches

    D.H. Wolpert;W.G. Macready

  • AN INTRODUCTION TO COLLECTIVE INTELLIGENCE

    David H. Wolpert;Kagan Tumer

  • Estimating functions of probability distributions from a finite set of samples

    David H. Wolpert;David H. Wolpert;David R. Wolf;David R. Wolf

  • An Efficient Method To Estimate Bagging‘s Generalization Error

    David H. Wolpert;William G. Macready

  • Surfaid predictor: web-based system for predicting surfer behavior

    David Charles Martin;Hansel Joseph Miranda;Mark Paul Plutowski;William Scott Spangler

  • Linearly Combining Density Estimators via Stacking

    Padhraic Smyth;David Wolpert

  • Bandit problems and the exploration/exploitation tradeoff

    W.G. Macready;D.H. Wolpert

  • The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework

    David H. Wolpert

  • Semantic information, autonomous agency and non-equilibrium statistical physics.

    Artemy Kolchinsky;David H. Wolpert

  • On the Connection between In-sample Testing and Generalization Error.

    David H. Wolpert

  • Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics

    David H. Wolpert

  • Collectives and the Design of Complex Systems

    Kagan Tumer;David H. Wolpert

  • On Overfitting Avoidance as Bias

    David H. Wolpert

Frequent Co-Authors

Kagan Tumer
Kagan Tumer Oregon State University
William G. Macready
William G. Macready D-Wave Systems (Canada)
Jürgen Jost
Jürgen Jost Max Planck Institute for Mathematics in the Sciences
Ilan Kroo
Ilan Kroo Stanford University
Dureseti Chidambarrao
Dureseti Chidambarrao IBM (United States)
Emanuel Knill
Emanuel Knill National Institute of Standards and Technology
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Alper Buyuktosunoglu
Alper Buyuktosunoglu IBM (United States)

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