World's Best Scientists 2026 revealed!
Peter D. Turney

Peter D. Turney

D-Index & Metrics

Computer Science

D-Index
44
Citations
24888
World Ranking
7350
National Ranking
3200

Peter D. Turney 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 Peter D. Turney 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Peter D. Turney 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 Peter D. Turney 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

Peter D. Turney is affiliated with the Ronin Institute in the United States. Their research primarily spans the social sciences, with a focus on sociology and political science. They have contributed to multiple subfields including management science and operations research, genetics, ecology, evolution, behavior and systematics, and computational theory and mathematics.

Turney's scholarly work concentrates on evolutionary game theory, cooperation, and game theory applications. Their research themes extend into digital games and media, evolutionary and genetic dynamics, plant and animal studies, cellular automata and their applications, and advanced materials and mechanics.

  • Evolutionary Game Theory and Cooperation
  • Game Theory and Applications
  • Digital Games and Media
  • Evolution and Genetic Dynamics
  • Plant and animal studies
  • Cellular Automata and Applications
  • Advanced Materials and Mechanics

They have published their work primarily through the arXiv platform associated with Cornell University, where their contributions include multiple recent papers:

  • Conditions for Open-Ended Evolution in Immigration Games, 2020, arXiv (Cornell University)
  • Evolution of Symbiosis in the Game of Life: Three Characteristics of Successful Symbiotes, 2021, arXiv (Cornell University)
  • Evolution of Spots and Stripes in Cellular Automata, 2025, arXiv (Cornell University)

Turney's research outputs reflect an interdisciplinary approach that intersects computational models and evolutionary dynamics applied to social and biological contexts. The use of cellular automata and immigration games suggests a focus on complex systems and evolutionary processes in both natural and artificial environments.

No frequent co-authors have been listed, indicating a possible preference for solo research or a broad collaborative network without repeated partnerships. Their consistent publication in arXiv indicates a commitment to open-access dissemination of scientific knowledge.

Their expertise covers notable areas within the broader landscape of social sciences with interdisciplinary reach into computational and biological disciplines, contributing knowledge on evolutionary strategies, symbiosis, and spatial pattern formation through computational simulation methods.

Best Publications

  • From frequency to meaning: vector space models of semantics

    Peter D. Turney;Patrick Pantel

  • Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews

    Peter Turney

  • CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON

    Saif M. Mohammad;Peter D. Turney

  • Measuring praise and criticism: Inference of semantic orientation from association

    Peter D. Turney;Michael L. Littman

  • Mining the web for synonyms: PMI-IR versus LSA on TOEFL

    Peter D. Turney

  • Learning Algorithms for Keyphrase Extraction

    Peter D. Turney

  • Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon

    Saif Mohammad;Peter Turney

  • Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm

    Peter D. Turney

  • Similarity of Semantic Relations

    Peter D. Turney

  • Types of cost in inductive concept learning

    Peter D. Turney

  • Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus

    Peter D. Turney;Michael L. Littman

  • Learning to Extract Keyphrases from Text

    Peter D. Turney

  • Literal and Metaphorical Sense Identification through Concrete and Abstract Context

    Peter Turney;Yair Neuman;Dan Assaf;Yohai Cohen

  • Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity

    David Nadeau;Peter D. Turney;Stan Matwin

  • Measuring academic influence: Not all citations are equal

    Xiaodan Zhu;Peter D. Turney;Daniel Lemire;André Vellino

  • Coherent keyphrase extraction via web mining

    Peter D. Turney

  • A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations

    Peter Turney

  • SemEval-2007 Task 04: Classification of Semantic Relations between Nominals

    Roxana Girju;Preslav Nakov;Vivi Nastase;Stan Szpakowicz

  • Method and apparatus for automatically identifying keywords within a document

    Peter D. Turney

  • Domain and function: a dual-space model of semantic relations and compositions

    Peter D. Turney

  • Corpus-based Learning of Analogies and Semantic Relations

    Peter D. Turney;Michael L. Littman

Frequent Co-Authors

Saif M. Mohammad
Saif M. Mohammad National Research Council Canada
Michael L. Littman
Michael L. Littman Brown University
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Stan Szpakowicz
Stan Szpakowicz University of Ottawa
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Graeme Hirst
Graeme Hirst University of Toronto
Xiaodan Zhu
Xiaodan Zhu Queen's University
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Stan Matwin
Stan Matwin Dalhousie University

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