World's Best Scientists 2026 revealed!
Hiroaki Kitano

Hiroaki Kitano

Hiroaki Kitano 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 Hiroaki Kitano 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+

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

Hiroaki Kitano 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 Hiroaki Kitano 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+

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

Overview

Hiroaki Kitano is affiliated with Sony in Japan and focuses their research primarily within the field of Biochemistry, Genetics and Molecular Biology. Their work extensively covers areas including Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Ecology, and Artificial Intelligence.

The scientist's research topics encompass a diverse range of interests such as Bioinformatics and Genomic Networks, Computational Drug Discovery Methods, Viral gastroenteritis research and epidemiology, Cell Image Analysis Techniques, Gene Regulatory Network Analysis, Coral and Marine Ecosystems Studies, and SARS-CoV-2 and COVID-19 Research.

Hiroaki Kitano has published recent papers in multiple high-profile venues. Some notable works include:

  • Outracing champion Gran Turismo drivers with deep reinforcement learning, 2022, Nature
  • SBML Level 3: an extensible format for the exchange and reuse of biological models, 2020, Molecular Systems Biology
  • COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms, 2020, Scientific Data
  • Nobel Turing Challenge: creating the engine for scientific discovery, 2021, npj Systems Biology and Applications
  • Elucidating gene expression adaptation of phylogenetically divergent coral holobionts under heat stress, 2021, Nature Communications

The scientist has collaborated frequently with several co-authors, including:

  • Ayako Yachie-Kinoshita
  • Samik Ghosh
  • Olaf Wolkenhauer
  • Alfonso Valencia
  • Charles Auffray

Hiroaki Kitano's work has been published in various recurring venues, with multiple publications in the following journals:

  • bioRxiv (Cold Spring Harbor Laboratory): 5 publications
  • Scientific Reports: 4 publications
  • Nature: 3 publications
  • npj Systems Biology and Applications: 3 publications
  • Scientific Data: 2 publications

Best Publications

  • Systems biology: a brief overview.

    Hiroaki Kitano

  • Computational systems biology

    Hiroaki Kitano

  • RoboCup: The Robot World Cup Initiative

    Hiroaki Kitano;Minoru Asada;Yasuo Kuniyoshi;Itsuki Noda

  • The Systems Biology Graphical Notation

    Nicolas Le Novere;Michael Hucka;Huaiyu Mi;Stuart Moodie

  • Towards a theory of biological robustness.

    Hiroaki Kitano

  • The PANTHER database of protein families, subfamilies, functions and pathways.

    Huaiyu Mi;Betty Lazareva-Ulitsky;Rozina Loo;Anish Kejariwal

  • RoboCup: A Challenge Problem for AI

    Hiroaki Kitano;Minoru Asada;Yasuo Kuniyoshi;Itsuki Noda

  • CellDesigner: a process diagram editor for gene-regulatory and biochemical networks

    Akira Funahashi;Mineo Morohashi;Hiroaki Kitano;Naoki Tanimura

  • Visualization of omics data for systems biology

    Nils Gehlenborg;Seán I O'Donoghue;Nitin S Baliga;Alexander Goesmann

  • RoboCup Rescue: search and rescue in large-scale disasters as a domain for autonomous agents research

    H. Kitano;S. Tadokoro;I. Noda;H. Matsubara

  • Cancer as a robust system: implications for anticancer therapy.

    Hiroaki Kitano

  • CellDesigner 3.5: A Versatile Modeling Tool for Biochemical Networks

    A. Funahashi;Y. Matsuoka;A. Jouraku;M. Morohashi

  • Using process diagrams for the graphical representation of biological networks.

    Hiroaki Kitano;Akira Funahashi;Yukiko Matsuoka;Kanae Oda

  • Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology.

    Kun-Yi Hsin;Samik Ghosh;Hiroaki Kitano

  • The RoboCup Synthetic Agent Challenge 97

    Hiroaki Kitano;Milind Tambe;Peter Stone;Manuela M. Veloso

  • A comprehensive map of the toll-like receptor signaling network

    Kanae Oda;Hiroaki Kitano

  • Outracing champion Gran Turismo drivers with deep reinforcement learning

    Unknown

  • The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

    Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub

  • RoboCup Rescue: a grand challenge for multi-agent systems

    H. Kitano

  • RoboCup rescue: A grand challenge for multiagent and intelligent systems

    Hiroaki Kitano;Satoshi Tadokoro

  • Development of an Autonomous Quadruped Robot for Robot Entertainment

    Masahiro Fujita;Hiroaki Kitano

  • Software for systems biology: from tools to integrated platforms

    Samik Ghosh;Yukiko Matsuoka;Yoshiyuki Asai;Kun‑Yi Hsin

  • SBML Level 3: an extensible format for the exchange and reuse of biological models

    Sarah M. Keating;Sarah M. Keating;Dagmar Waltemath;Matthias König;Fengkai Zhang

Frequent Co-Authors

Hiroshi G. Okuno
Hiroshi G. Okuno Waseda University
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University
Kazuhiro Nakadai
Kazuhiro Nakadai Tokyo Institute of Technology
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Lori Levin
Lori Levin Carnegie Mellon University

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