World's Best Scientists 2026 revealed!
Gal A. Kaminka

Gal A. Kaminka

D-Index & Metrics

Computer Science

D-Index
45
Citations
7031
World Ranking
7287
National Ranking
119

Gal A. Kaminka 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 Gal A. Kaminka 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: 225 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Gal A. Kaminka 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 Gal A. Kaminka 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Gal A. Kaminka is affiliated with Bar-Ilan University in Israel and has a strong research presence in the field of Computer Science with a focus on Artificial Intelligence. Their academic work spans various subfields, including Computational Theory and Mathematics, Computer Networks and Communications, Biomedical Engineering, and Management Science and Operations Research.

Their research addresses multiple main topics such as Distributed Control Multi-Agent Systems, Multi-Criteria Decision Making, AI-based Problem Solving and Planning, Slime Mold and Myxomycetes Research, Molecular Communication and Nanonetworks, Reinforcement Learning in Robotics, and Evolutionary Game Theory and Cooperation.

Kaminka has co-authored publications with several frequent collaborators including Eyal Weiss, Amir Ayali, Ariel Felner, Teddy Lazebnik, and Hanna Weitman.

The scientist has published papers in diverse venues, predominantly in arXiv (Cornell University) and bioRxiv (Cold Spring Harbor Laboratory), but also in other peer-reviewed platforms such as PLoS Computational Biology, Frontiers in Neurorobotics, and the Proceedings of the International Conference on Automated Planning and Scheduling.

Recent papers by Kaminka include the following:

  • Vision-based collective motion: A locust-inspired reductionist model, 2024, PLoS Computational Biology
  • Generic Purpose Pharmacokinetics-Pharmacodynamics Mathematical Model For Nanomedicine Targeted Drug Delivery: Mouse Model, 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective, 2023, Frontiers in Neurorobotics
  • Position Paper: Online Modeling for Offline Planning, 2022, arXiv (Cornell University)
  • The visual stimuli attributes instrumental for collective-motion-related decision-making in locusts, 2024, PNAS Nexus

Best Publications

  • Multi-robot area patrol under frequency constraints

    Yehuda Elmaliach;Noa Agmon;Gal A. Kaminka

  • Ad hoc autonomous agent teams: collaboration without pre-coordination

    Peter Stone;Gal A. Kaminka;Sarit Kraus;Jeffrey S. Rosenschein

  • Multi-robot perimeter patrol in adversarial settings

    N. Agmon;S. Kraus;G.A. Kaminka

  • Gamebots: A 3D Virtual World Test-Bed For Multi-Agent Research

    Rogelio Adobbati;Andrew N. Marshall;Andrew Scholer;Sheila Tejada

  • Monitoring teams by overhearing: a multi-agent plan-recognition approach

    Gal A. Kaminka;David V. Pynadath;Milind Tambe

  • ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison

    Jason Tsai;Natalie Fridman;Emma Bowring;Matthew Brown

  • GameBots: a flexible test bed for multiagent team research

    Gal A. Kaminka;Manuela M. Veloso;Steve Schaffer;Chris Sollitto

  • Redundancy, Efficiency and Robustness in Multi-Robot Coverage

    N. Hazon;G.A. Kaminka

  • Learning the sequential coordinated behavior of teams from observations

    Gal A. Kaminka;Mehmet Fidanboylu;Allen Chang;Manuela M. Veloso

  • Building agent teams using an explicit teamwork model and learning

    Milind Tambe;Jafar Adibi;Yaser Al-Onaizan;Ali Erdem

  • Fast and complete symbolic plan recognition

    Dorit Avrahami-Zilberbrand;Gal A. Kaminka

  • On redundancy, efficiency, and robustness in coverage for multiple robots

    Noam Hazon;Gal A. Kaminka

  • Efficient frontier detection for robot exploration

    Matan Keidar;Gal A. Kaminka

  • Robust agent teams via socially-attentive monitoring

    Gal A. Kaminka;Milind Tambe

  • Constructing spanning trees for efficient multi-robot coverage

    N. Agmon;N. Hazon;G.A. Kaminka

  • A realistic model of frequency-based multi-robot polyline patrolling

    Yehuda Elmaliach;Asaf Shiloni;Gal A. Kaminka

  • Multi-robot adversarial patrolling: facing a full-knowledge opponent

    Noa Agmon;Gal A Kaminka;Sarit Kraus

  • The impact of adversarial knowledge on adversarial planning in perimeter patrol

    Noa Agmon;Vladimir Sadov;Gal A. Kaminka;Sarit Kraus

  • Towards robust on-line multi-robot coverage

    N. Hazon;F. Mieli;G.A. Kaminka

  • Online data-driven anomaly detection in autonomous robots

    Eliahu Khalastchi;Meir Kalech;Gal A. Kaminka;Raz Lin

  • Adaptive agent integration architectures for heterogeneous team members

    M. Tambe;D.V. Pynadath;N. Chauvat;A. Das

Frequent Co-Authors

Sarit Kraus
Sarit Kraus Bar-Ilan University
Milind Tambe
Milind Tambe Harvard University
Manuela Veloso
Manuela Veloso Carnegie Mellon University
David V. Pynadath
David V. Pynadath University of Southern California
Stacy Marsella
Stacy Marsella Northeastern University
Jeffrey S. Rosenschein
Jeffrey S. Rosenschein Hebrew University of Jerusalem
Peter Stone
Peter Stone The University of Texas at Austin
Gerd Wagner
Gerd Wagner Brandenburg University of Technology
Onn Shehory
Onn Shehory Bar-Ilan University
Wei-Min Shen
Wei-Min Shen University of Southern California

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