World's Best Scientists 2026 revealed!
Tomoya Enokido

Tomoya Enokido

D-Index & Metrics

Computer Science

D-Index
32
Citations
5539
World Ranking
13014
National Ranking
214

Tomoya Enokido 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 Tomoya Enokido 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: 559 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.

Tomoya Enokido 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 Tomoya Enokido 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Tomoya Enokido is affiliated with Rissho University in Japan and has contributed to the fields of computer science, social sciences, and engineering. Their research interests span several subfields of computer science, including computer networks and communications, hardware and architecture, information systems, computer vision and pattern recognition, and artificial intelligence.

Their work focuses on topics such as energy efficiency in computing, caching and content delivery, cloud computing and resource management, context-aware activity recognition systems, access control and trust, IoT and edge/fog computing, and distributed and parallel computing systems.

Frequent coauthors collaborating with Tomoya Enokido include Makoto Takizawa, Dilawaer Duolikun, Shigenari Nakamura, Takumi Saito, and Leonard Barolli.

Tomoya Enokido has published in several venues, notably:

  • Internet of Things
  • Concurrency and Computation Practice and Experience
  • International Journal of Web and Grid Services
  • International Journal of Grid and Utility Computing
  • Journal of High Speed Networks

Some recent papers authored or coauthored by Tomoya Enokido include:

  • The Redundant Energy Consumption Laxity Based Algorithm to Perform Computation Processes for IoT Services, 2020, Internet of Things
  • Implementation and evaluation of the information flow control for the Internet of Things, 2021, Concurrency and Computation Practice and Experience
  • Information Flow Control Based on Capability Token Validity for Secure IoT: Implementation and Evaluation, 2021, Internet of Things
  • Time-based legality of information flow in the capability-based access control model for the Internet of Things, 2020, Concurrency and Computation Practice and Experience
  • Capability token selection algorithms to implement lightweight protocols, 2022, Internet of Things

Tomoya Enokido has contributed chapters to books published predominantly by Springer International Publishing and Springer Nature. Titles include various editions of Advanced Information Networking and Applications (2020-2022), Advances in Network-Based Information Systems (2022), Advances on Broad-Band Wireless Computing, Communication and Applications (2020), and Complex, Intelligent and Software Intensive Systems (2020).

Best Publications

  • A Model for Reducing Power Consumption in Peer-to-Peer Systems

    Tomoya Enokido;Ailixier Aikebaier;Makoto Takizawa

  • Process Allocation Algorithms for Saving Power Consumption in Peer-to-Peer Systems

    T Enokido;A Aikebaier;M Takizawa

  • An Extended Simple Power Consumption Model for Selecting a Server to Perform Computation Type Processes in Digital Ecosystems

    Tomoya Enokido;Ailixier Aikebaier;Makoto Takizawa

  • An energy-efficient model for fog computing in the Internet of Things (IoT)

    Ryuji Oma;Shigenari Nakamura;Dilawaer Duolikun;Tomoya Enokido

  • An Integrated Power Consumption Model for Distributed Systems

    T. Enokido;M. Takizawa

  • Ranking factors in peer-to-peer overlay networks

    Kenichi Watanabe;Yoshio Nakajima;Tomoya Enokido;Makoto Takizawa

  • Embedded and Ubiquitous Computing – EUC 2005 Workshops

    Tomoya Enokido;Lu Yan;Bin Xiao;Daeyoung Kim

  • Power Consumption-Based Server Selection Algorithms for Communication-Based Systems

    Tomoya Enokido;Ailixier Aikebaier;Makoto Takizawa;S. Misbah Deen

  • Energy-Aware Server Selection Algorithms in a Scalable Cluster

    Hiroki Kataoka;Atsuhiro Sawada;Dilawaer Duolikun;Tomoya Enokido

  • Purpose-Based Information Flow Control for Cyber Engineering

    T Enokido;M Takizawa

  • Trustworthy Group Making Algorithm in Distributed Systems

    Ailixier Aikebaier;Tomoya Enokido;Makoto Takizawa

  • Power Consumption and Computation Models of a Server with a Multi-core CPU and Experiments

    Hiroki Kataoka;Dilawaer Duolikun;Tomoya Enokido;Makoto Takizawa

  • Energy-Efficient Computation Models for Distributed Systems

    Ailixier Aikebaier;Yan Yang;Tomoya Enokido;Makoto Takizawa

  • An Integrated Power Consumption Model for Communication and Transaction Based Applications

    Tomoya Enokido;Ailixier Aikebaier;Makoto Takizawa

  • Algorithms for Reducing the Total Power Consumption in Data Communication-Based Applications

    Tomoya Enokido;Kota Suzuki;Ailixier Aikebaier;Makoto Takizawa

  • Multi-level Computation and Power Consumption Models

    Hiroki Kataoka;Dilawaer Duolikun;Tomoya Enokido;Makoto Takizawa

  • An Extended Power Consumption Model for Distributed Applications

    Tomoya Enokido;Makoto Takizawa

  • A read-write abortion protocol to prevent illegal information flow in role-based access control systems

    Shigenari Nakamura;Dilawaer Duolikun;Tomoya Enokido;Makoto Takizawa

  • A Tree-Based Model of Energy-Efficient Fog Computing Systems in IoT

    Ryuji Oma;Shigenari Nakamura;Tomoya Enokido;Makoto Takizawa

  • Power Consumption Models for Migrating Processes in a Server Cluster

    Dilawaer Duolikun;Ailixier Aikebaier;Tomoya Enokido;Makoto Takizawa

Frequent Co-Authors

Makoto Takizawa
Makoto Takizawa Hosei University
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Makoto Ikeda
Makoto Ikeda Fukuoka Institute of Technology
Lidia Ogiela
Lidia Ogiela AGH University of Science and Technology
David Taniar
David Taniar Monash University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Omar Khadeer Hussain
Omar Khadeer Hussain University of New South Wales
Michel Raynal
Michel Raynal Institut de Recherche en Informatique et Systèmes Aléatoires
Takahiro Hara
Takahiro Hara Osaka University
Arjan Durresi
Arjan Durresi Indiana University – Purdue University Indianapolis

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in Computer Science can open up various career pathways, whether you're just starting out or looking to advance your skills. Many learners begin with online associates programs. These offer foundational knowledge and are ideal for those seeking flexibility or wanting to enter the tech job market quickly.

If you're concerned about cost, there are cheapest online degrees available, making quality education more accessible without the burden of heavy student debt. For students worried about past academic performance, the best colleges for low gpa provide inclusive options that focus on potential rather than just grades.

For those aiming for advanced roles in tech, pursuing one of the most useful graduate degrees can be a strategic move. These programs are designed to align with industry demand and help boost career prospects.

Regardless of your background, online Computer Science degrees offer flexible routes to a rewarding and dynamic tech career.

Best Scientists Citing Tomoya Enokido

Trending Scientists

Recently Published Articles