World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
5539
World Ranking
13923
National Ranking
230

Tadashi Nakano 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 Tadashi Nakano 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: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Tadashi Nakano 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 Tadashi Nakano 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Tadashi Nakano is affiliated with Osaka Metropolitan University in Japan and has made contributions across interdisciplinary fields spanning engineering, medicine, and biochemistry, genetics, and molecular biology. Their research integrates themes from biomedical engineering, molecular biology, ophthalmology, information systems, and radiology, nuclear medicine, and imaging.

Central topics in Nakano's work include:

  • Molecular Communication and Nanonetworks
  • Gene Regulatory Network Analysis
  • Wireless Body Area Networks
  • Advanced biosensing and bioanalysis techniques
  • Glaucoma and retinal disorders
  • Cellular Mechanics and Interactions
  • Advanced Chemical Sensor Technologies

The scientist's publication record covers various venues, with multiple contributions to:

  • IEEE Transactions on Molecular Biological and Multi-Scale Communications
  • 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
  • Scientific Reports
  • IEEE Access
  • GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Among their recent scientific papers, notable works include:

  • "Roles of Remote and Contact Forces in Epithelial Cell Structure Formation," 2020, Biophysical Journal
  • "A brief review on DNA storage, compression, and digitalization," 2021, Nano Communication Networks

Further scientific outputs have appeared in collaboration with multiple co-authors. Frequent co-authors include:

  • Quoc Duy Nam Nguyen
  • Thi Hong Tran
  • Hoang Viet Anh Le
  • Jiewen Wang

The scientist has also contributed to academic books published by notable publishers. These include:

  • Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, with titles such as "Bio-inspired Information and Communication Technologies" (2020) and its subsequent edition (2021)
  • Cambridge University Press, publishing "Molecular Communication" in 2024

Best Publications

  • Molecular Communication and Networking: Opportunities and Challenges

    T. Nakano;M. J. Moore;Fang Wei;A. V. Vasilakos

  • Molecular Communication: Index

    Tadashi Nakano;Andrew W. Eckford;Tokuko Haraguchi

  • Molecular communication for nanomachines using intercellular calcium signaling

    T. Nakano;T. Suda;M. Moore;R. Egashira

  • Molecular communication among biological nanomachines: a layered architecture and research issues.

    Tadashi Nakano;Tatsuya Suda;Yutaka Okaie;Michael J Moore

  • Exploratory Research on Molecular Communication between Nanomachines

    Tatsuya Suda;Michael Moore;Tadashi Nakano;Ryota Egashira

  • Anonymity and roles associated with aggressive posts in an online forum

    Michael J. Moore;Tadashi Nakano;Akihiro Enomoto;Tatsuya Suda

  • Channel Model and Capacity Analysis of Molecular Communication with Brownian Motion

    T. Nakano;Y. Okaie;Jian-Qin Liu

  • A design of a molecular communication system for nanomachines using molecular motors

    M. Moore;A. Enomoto;T. Nakano;R. Egashira

  • Design and Analysis of Molecular Relay Channels: An Information Theoretic Approach

    T Nakano;Jian-Qin Liu

  • Self-organizing network services with evolutionary adaptation

    T. Nakano;T. Suda

  • TCP-Like Molecular Communications

    Luca Felicetti;Mauro Femminella;Gianluca Reali;Tadashi Nakano

  • Transmission Rate Control for Molecular Communication among Biological Nanomachines

    Tadashi Nakano;Yutaka Okaie;Athanasios V. Vasilakos

  • Measuring Distance From Single Spike Feedback Signals in Molecular Communication

    M. J. Moore;T. Nakano;A. Enomoto;T. Suda

  • Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications

    Tadashi Nakano;Yutaka Okaie;Shouhei Kobayashi;Takako Koujin

  • Oscillation and Synchronization of Molecular Machines by the Diffusion of Inhibitory Molecules

    Michael J. Moore;Tadashi Nakano

  • Molecular Communication Technology as a Biological ICT

    Tadashi Nakano;Michael Moore;Akihiro Enomoto;Tatsuya Suda

  • Molecular communication through gap junction channels: System design, experiments and modeling

    T. Nakano;T. Suda;T. Koujin;Tokuko Haraguchi

  • Molecular Communication: A 10 Year Retrospective

    Tadashi Nakano

  • Biologically Inspired Network Systems: A Review and Future Prospects

    T. Nakano

  • Methods and Applications of Mobile Molecular Communication

    Tadashi Nakano;Yutaka Okaie;Shouhei Kobayashi;Takahiro Hara

  • Cooperative target tracking by a mobile bionanosensor network.

    Yutaka Okaie;Tadashi Nakano;Takahiro Hara;Takuya Obuchi

Frequent Co-Authors

Tatsuya Suda
Tatsuya Suda University Netgroup Inc.
Takahiro Hara
Takahiro Hara Osaka University
Shojiro Nishio
Shojiro Nishio Osaka University
Andrew W. Eckford
Andrew W. Eckford York University
Tokuko Haraguchi
Tokuko Haraguchi Osaka University
Yasushi Hiraoka
Yasushi Hiraoka Osaka University
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Tetsuya Yomo
Tetsuya Yomo East China Normal University
Kun Yang
Kun Yang University of Essex
Hitoshi Sakakibara
Hitoshi Sakakibara Nagoya University

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