World's Best Scientists 2026 revealed!
Makoto Takizawa

Makoto Takizawa

D-Index & Metrics

Computer Science

D-Index
43
Citations
10153
World Ranking
7852
National Ranking
107

Makoto Takizawa 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 Makoto Takizawa 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: 1,059 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Makoto Takizawa 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 Makoto Takizawa 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Makoto Takizawa is affiliated with Hosei University in Japan and has contributed extensively to the fields of computer science and engineering. Their research primarily focuses on areas such as computer networks and communications, hardware and architecture, electrical and electronic engineering, artificial intelligence, and information systems.

The scientist's work encompasses a range of topics related to energy efficiency in computing, caching and content delivery, mobile ad hoc networks, vehicular ad hoc networks (VANETs), context-aware activity recognition systems, cloud computing and resource management, and opportunistic and delay-tolerant networks.

Takizawa has published numerous articles in various academic journals and conference proceedings. Notable recent papers include:

  • 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
  • The Redundant Energy Consumption Laxity Based Algorithm to Perform Computation Processes for IoT Services, 2020, Internet of Things
  • Capability token selection algorithms to implement lightweight protocols, 2022, Internet of Things

Makoto Takizawa frequently collaborates with other researchers in their field. Key coauthors include Tomoya Enokido, Leonard Barolli, Shigenari Nakamura, Dilawaer Duolikun, and Shinji Sakamoto.

Their work has been featured in several well-regarded publication venues, including:

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

Takizawa has also contributed to book publications through notable publishers. These include titles published by Springer Science+Business Media, Springer International Publishing, and Springer Nature. Book titles include:

  • Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications (2021)
  • Future Data and Security Engineering (2020, 2021)
  • Advances on P2P, Parallel, Grid, Cloud and Internet Computing (2020)
  • Advances on Broad-Band Wireless Computing, Communication and Applications (2020)
  • Advanced Information Networking and Applications (2020)

The breadth of research topics and publication venues illustrates Takizawa's engagement with issues pertaining to secure information flow and computational processes for Internet of Things (IoT) applications, among other specialties within computer science and engineering.

Best Publications

  • A survey on clustering algorithms for wireless sensor networks

    Olutayo Boyinbode;Hanh Le;Makoto Takizawa

  • A Survey on Clustering Algorithms for Wireless Sensor Networks

    Olutayo Boyinbode;Hanh Le;Audrey Mbogho;Makoto Takizawa

  • 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

  • Towards a smart world and ubiquitous intelligence: A walkthrough from smart things to smart hyperspaces and UbicKids

    Jianhua Ma;Laurence Tianruo Yang;Bernady O. Apduhan;Runhe Huang

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

    Tomoya Enokido;Ailixier Aikebaier;Makoto Takizawa

  • Causally ordering broadcast protocol

    A. Nakamura;M. 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

  • Reliable broadcast protocol for selectively partially ordering PDUs (SPO protocol)

    A. Nakamura;M. Takizawa

  • Priority-based total and semi-total ordering broadcast protocols

    A. Nakamura;M. Takizawa

  • Causally ordering group communication protocol

    A. Nakamura;T. Tachikawa;M. Takizawa

  • First International Conference on Availability, Reliability and Security (ARES´06)

    Norman Revell;Roland Wagner;Günther Pernul;Makoto Takizawa

  • Checkpoint-recovery protocol for reliable mobile systems

    H. Higaki;M. Takizawa

  • Group communication protocol for real-time applications

    T. Tachikawa;H. Higaki;M. Takizawa

  • Trustworthy-based efficient data broadcast model for P2P interaction in resource-constrained wireless environments

    Agustinus Borgy Waluyo;David Taniar;Wenny Rahayu;Ailixier Aikebaier

  • WMN–GA: a simulation system for WMNs and its evaluation considering selection operators

    Tetsuya Oda;Admir Barolli;Fatos Xhafa;Leonard Barolli

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

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

  • Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for different replacement methods

    Shinji Sakamoto;Kosuke Ozera;Admir Barolli;Makoto Ikeda

Frequent Co-Authors

Tomoya Enokido
Tomoya Enokido Rissho University
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Makoto Ikeda
Makoto Ikeda Fukuoka Institute of Technology
Lidia Ogiela
Lidia Ogiela AGH University of Science and Technology
Arjan Durresi
Arjan Durresi Indiana University – Purdue University Indianapolis
Shinji Sakamoto
Shinji Sakamoto Kanazawa Institute of Technology
Michel Raynal
Michel Raynal Institut de Recherche en Informatique et Systèmes Aléatoires
Wenny Rahayu
Wenny Rahayu La Trobe University
Marek R. Ogiela
Marek R. Ogiela AGH University of Science and Technology

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