World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8992
World Ranking
7525
National Ranking
3272

Kagan Tumer 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 Kagan Tumer 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: 258 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Kagan Tumer 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 Kagan Tumer 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

Kagan Tumer is affiliated with Oregon State University in the United States. Their research primarily lies within the field of Computer Science, with a strong focus on Artificial Intelligence. Other subfields they have contributed to include Management Science and Operations Research, Computer Vision and Pattern Recognition, Economics and Econometrics, and Sociology and Political Science.

Tumer's work covers a range of main topics, most notably:

  • Reinforcement Learning in Robotics
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Artificial Intelligence in Games
  • Auction Theory and Applications
  • Multi-Agent Systems and Negotiation

Regarding publication venues, Tumer has frequently published in:

  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Autonomous Agents and Multi-Agent Systems
  • arXiv (Cornell University)
  • Neural Computing and Applications

Some of the recent papers authored or co-authored by Tumer include:

  • "MAEDyS", 2021, Proceedings of the Genetic and Evolutionary Computation Conference
  • "The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains", 2020, Autonomous Agents and Multi-Agent Systems
  • "Fitness shaping for multiple teams", 2022, Proceedings of the Genetic and Evolutionary Computation Conference
  • "Leveraging Fitness Critics To Learn Robust Teamwork", 2023, Proceedings of the Genetic and Evolutionary Computation Conference
  • "Diversifying behaviors for learning in asymmetric multiagent systems", 2022, Proceedings of the Genetic and Evolutionary Computation Conference

Tumer has collaborated frequently with several co-authors, including:

  • Gaurav Dixit
  • Joshua Cook
  • Ayhan Alp Aydeniz
  • Everardo Gonzalez

Best Publications

  • Error Correlation and Error Reduction in Ensemble Classifiers

    Kagan Tumer;Joydeep Ghosh

  • OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

    David H. Wolpert;Kagan Tumer

  • Analysis of decision boundaries in linearly combined neural classifiers

    Kagan Tumer;Joydeep Ghosh

  • Classifier ensembles: Select real-world applications

    Nikunj C. Oza;Kagan Tumer

  • Intelligent Engineering Systems Through Artificial Neural Networks

    Cihan H. Dagli;K. Mark Bryden;Steven M. Corns;Mitsuo Gen

  • AN INTRODUCTION TO COLLECTIVE INTELLIGENCE

    David H. Wolpert;Kagan Tumer

  • Distributed agent-based air traffic flow management

    Kagan Tumer;Adrian Agogino

  • Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems

    J. J. Chung;D. Miklic;L. Sabattini;K. Tumer

  • Linear and Order Statistics Combiners for Pattern Classification

    Kagan Tumer;Joydeep Ghosh;Sonie Lau

  • Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks

    Kagan Tumer;Nirmala Ramanujam;Rebecca R. Richards-Kortum;Joydeep Ghosh

  • Evolution-Guided Policy Gradient in Reinforcement Learning

    Shauharda Khadka;Kagan Tumer

  • Analyzing and visualizing multiagent rewards in dynamic and stochastic domains

    Adrian K. Agogino;Kagan Tumer

  • General principles of learning-based multi-agent systems

    David H. Wolpert;Kevin R. Wheeler;Kagan Tumer

  • Collective intelligence for control of distributed dynamical systems

    David H. Wolpert;Kevin R. Wheeler;Kagan Tumer

  • Input Decimation Ensembles: Decorrelation through Dimensionality Reduction

    Nikunj C. Oza;Kagan Tumer

  • Collective Intelligence and Braess' Paradox

    Kagan Tumer;David Wolpert

  • A multiagent approach to managing air traffic flow

    Adrian K. Agogino;Kagan Tumer

  • Collectives and the Design of Complex Systems

    Kagan Tumer;David H. Wolpert

  • Ensembles of radial basis function networks for spectroscopic detection of cervical precancer

    K. Tumer;N. Ramanujam;J. Ghosh;R. Richards-Kortum

  • Collective intelligence, data routing and braess' paradox

    David H. Wolpert;Kagan Tumer

  • Collectives and Design Complex Systems

    Kagan Tumer;David H. Wolpert;Kagan Turner

Frequent Co-Authors

David H. Wolpert
David H. Wolpert Santa Fe Institute
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
Peter Stone
Peter Stone The University of Texas at Austin
Bechir Hamdaoui
Bechir Hamdaoui Oregon State University
David C. Parkes
David C. Parkes Harvard University
Mitsuo Gen
Mitsuo Gen Tokyo University of Science
Sandip Sen
Sandip Sen University of Tulsa
Tucker Balch
Tucker Balch Emory University

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