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Computer Science
Japan
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
31169
World Ranking
525
National Ranking
2

Nei Kato 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 Nei Kato 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: 572 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Nei Kato 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 Nei Kato 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: 93 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Japan Leader Award
  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2023 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Nei Kato is affiliated with Tohoku University in Japan, focusing on research within the fields of Engineering and Computer Science. Their work spans several subfields including Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence, and Information Systems. This multidisciplinary approach reflects an extensive investigation of communication technologies and network systems.

The scientist's research covers a range of primary topics. These include Advanced Wireless Communication Technologies, Satellite Communication Systems, UAV Applications and Optimization, IoT and Edge/Fog Computing, Advanced MIMO Systems Optimization, Optical Wireless Communication Technologies, and IoT Networks and Protocols.

Nei Kato has contributed numerous papers to frequent publication venues such as:

  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications
  • IEEE Network
  • IEEE Communications Surveys & Tutorials
  • IEEE Journal on Selected Areas in Communications

Among their recent papers are:

  • "6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence" (2020) published in IEEE Wireless Communications
  • "A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G" (2021) published in IEEE Communications Surveys & Tutorials
  • "Ten Challenges in Advancing Machine Learning Technologies toward 6G" (2020) published in IEEE Wireless Communications
  • "Envisioning Device-to-Device Communications in 6G" (2020) published in IEEE Network
  • "The Roadmap of Communication and Networking in 6G for the Metaverse" (2022) published in IEEE Wireless Communications

Research collaboration is an important aspect of their work, with frequent co-authors including Yuichi Kawamoto, Fengxiao Tang, Jiajia Liu, Bomin Mao, and Ming Zhao. These collaborations suggest active involvement in diverse research projects within their areas of expertise.

Best Publications

  • Space-Air-Ground Integrated Network: A Survey

    Jiajia Liu;Yongpeng Shi;Zubair Md. Fadlullah;Nei Kato

  • State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

    Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao;Nei Kato

  • A survey of routing attacks in mobile ad hoc networks

    B. Kannhavong;H. Nakayama;Y. Nemoto;N. Kato

  • Device-to-Device Communication in LTE-Advanced Networks: A Survey

    Jiajia Liu;Nei Kato;Jianfeng Ma;Naoto Kadowaki

  • Toward intelligent machine-to-machine communications in smart grid

    Z M Fadlullah;M M Fouda;N Kato;A Takeuchi

  • 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence

    Guan Gui;Miao Liu;Fengxiao Tang;Nei Kato

  • Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method.

    Satoshi Kurosawa;Hidehisa Nakayama;Nei Kato;Abbas Jamalipour

  • Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

    Fengxiao Tang;Yuichi Kawamoto;Nei Kato;Jiajia Liu

  • A Stable Routing Protocol to Support ITS Services in VANET Networks

    T. Taleb;E. Sakhaee;A. Jamalipour;K. Hashimoto

  • A Lightweight Message Authentication Scheme for Smart Grid Communications

    M. M. Fouda;Z. M. Fadlullah;N. Kato;Rongxing Lu

  • Networking and Communications in Autonomous Driving: A Survey

    Jiadai Wang;Jiajia Liu;Nei Kato

  • A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G

    Hongzhi Guo;Jingyi Li;Jiajia Liu;Na Tian

  • The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

    Nei Kato;Zubair Md. Fadlullah;Bomin Mao;Fengxiao Tang

  • A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

    Shikhar Verma;Yuichi Kawamoto;Zubair Md. Fadlullah;Hiroki Nishiyama

  • Relay-by-smartphone: realizing multihop device-to-device communications

    Hiroki Nishiyama;Masaya Ito;Nei Kato

  • Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

    Jiadai Wang;Lei Zhao;Jiajia Liu;Nei Kato

  • Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control

    Tiago Gama Rodrigues;Katsuya Suto;Hiroki Nishiyama;Nei Kato

  • Ten Challenges in Advancing Machine Learning Technologies toward 6G

    Nei Kato;Bomin Mao;Fengxiao Tang;Yuichi Kawamoto

  • Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

    Bomin Mao;Zubair Md. Fadlullah;Fengxiao Tang;Nei Kato

  • Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

    Nei Kato;Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao

  • A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance

    N. Kato;M. Suzuki;S. Omachi;H. Aso

Frequent Co-Authors

Hiroki Nishiyama
Hiroki Nishiyama Tohoku University
Zubair Md. Fadlullah
Zubair Md. Fadlullah Lakehead University
Jiajia Liu
Jiajia Liu Northwestern Polytechnical University
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Abbas Jamalipour
Abbas Jamalipour University of Sydney
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology
Xiaohong Jiang
Xiaohong Jiang Future University Hakodate
Xuemin Shen
Xuemin Shen University of Waterloo
Hongzhi Guo
Hongzhi Guo University of Nebraska–Lincoln
Morio Toyoshima
Morio Toyoshima National Institute of Information and Communications Technology

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