World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4079
World Ranking
12764
National Ranking
206

Makoto Ikeda 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 Ikeda 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: 471 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Makoto Ikeda 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 Ikeda 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Makoto Ikeda is affiliated with the Fukuoka Institute of Technology in Japan. Their work spans multiple research areas, particularly within computer science and engineering, with significant contributions in the domains of vehicular networks, software-defined networking, and 5G technologies.

Makoto Ikeda has published extensively on subjects related to computer networks and communications as well as electrical and electronic engineering. Their subfields of study emphasize topics such as:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Automotive Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

The scientist's main research topics include:

  • Vehicular Ad Hoc Networks (VANETs)
  • Software-Defined Networks and 5G
  • Advanced MIMO Systems Optimization
  • Caching and Content Delivery
  • Autonomous Vehicle Technology and Safety
  • Opportunistic and Delay-Tolerant Networks
  • IoT and Edge/Fog Computing

Some recent papers authored or co-authored by Makoto Ikeda are:

  • "Coordination and management of cloud, fog and edge resources in SDN-VANETs using fuzzy logic: A comparison study for two fuzzy-based systems," 2020, Internet of Things
  • "Performance Evaluation of an Integrated Fuzzy-Based Driving-Support System for Real-Time Risk Management in VANETs," 2020, Sensors
  • "An Intelligent Approach for Cloud-Fog-Edge Computing SDN-VANETs Based on Fuzzy Logic: Effect of Different Parameters on Coordination and Management of Resources," 2022, Sensors
  • "Subdiffraction focusing with a long focal length using a terahertz-wave super-oscillatory lens," 2021, Optics Letters
  • "An Integrated Fuzzy-based Admission Control System (IFACS) for 5G Wireless Networks: Its implementation and performance evaluation," 2020, Internet of Things

Their work has been published in several venues, including:

  • Internet of Things
  • Journal of High Speed Networks
  • International Journal of Grid and Utility Computing
  • Sensors
  • International Journal of Distributed Systems and Technologies

Makoto Ikeda has collaborated frequently with other researchers such as Leonard Barolli, Keita Matsuo, Ermioni Qafzezi, Phudit Ampririt, and Kevin Bylykbashi. These collaborations have contributed to a sustained publication output across diverse fields related to networking and vehicular technologies.

In addition to journal articles, Makoto Ikeda has contributed to book publications, including one released by Springer International Publishing titled Advances in Internet, Data & Web Technologies in 2022.

Best Publications

  • Performance Analysis of OLSR and BATMAN Protocols Considering Link Quality Parameter

    Leonard Barolli;Makoto Ikeda;Giuseppe De Marco;Arjan Durresi

  • Trustworthiness in P2P: performance behaviour of two fuzzy-based systems for JXTA-overlay platform

    Evjola Spaho;Shinji Sakamoto;Leonard Barolli;Fatos Xhafa

  • Implementation of Intelligent Hybrid Systems for Node Placement Problem in WMNs Considering Particle Swarm Optimization, Hill Climbing and Simulated Annealing

    Shinji Sakamoto;Kosuke Ozera;Makoto Ikeda;Leonard Barolli

  • A comparison study of Hill Climbing, Simulated Annealing and Genetic Algorithm for node placement problem in WMNs

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

  • Experimental Performance Evaluation of a Pro-Active Ad-hoc Routing Protocol in Out- and Indoor Scenarios

    G. De Marco;M. Ikeda;Tao Yang;L. Barolli

  • Performance evaluation of a QoS-aware fuzzy-based CAC for LAN access

    Takaaki Inaba;Ryoichiro Obukata;Shinji Sakamoto;Tetsuya Oda

  • An Integrated System for Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic

    Takaaki Inaba;Shinji Sakamoto;Elis Kulla;Santi Caballe

  • A comparison study for two fuzzy-based systems: improving reliability and security of JXTA-overlay P2P platform

    Yi Liu;Shinji Sakamoto;Keita Matsuo;Makoto Ikeda

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

    Tetsuya Oda;Admir Barolli;Fatos Xhafa;Leonard Barolli

  • 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

  • FBMIS: A Fuzzy-Based Multi-interface System for Cellular and Ad Hoc Networks

    Elis Kulla;Gjergji Mino;Shinji Sakamoto;Makoto Ikeda

  • Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation

    Shinji Sakamoto;Tetsuya Oda;Makoto Ikeda;Leonard Barolli

  • Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks

    Shinji Sakamoto;Tetsuya Oda;Makoto Ikeda;Leonard Barolli

  • Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs

    Kevin Bylykbashi;Ermioni Qafzezi;Makoto Ikeda;Keita Matsuo

  • A Secure-Aware Call Admission Control Scheme for Wireless Cellular Networks Using Fuzzy Logic and Its Performance Evaluation.

    Takaaki Inaba;Donald Elmazi;Shinji Sakamoto;Tetsuya Oda

  • A comparison study of simulated annealing and genetic algorithm for node placement problem in wireless mesh networks

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

  • A Testbed for Admission Control in WLAN: A Fuzzy Approach and Its Performance Evaluation

    Takaaki Inaba;Shinji Sakamoto;Tetsuya Oda;Makoto Ikeda

  • Performance Evaluation Considering Iterations per Phase and SA Temperature in WMN-SA System

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

  • Impact of Source and Destination Movement on MANET Performance Considering BATMAN and AODV Protocols

    Elis Kulla;Makoto Ikeda;Leonard Barolli;Rozeta Miho

  • Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions

    Keita Matsuo;Shinji Sakamoto;Tetsuya Oda;Admir Barolli

  • Experimental and Simulation Evaluation of OLSR Protocol for Mobile Ad-Hoc Networks

    Makoto Ikeda;Leonard Barolli;Giuseppe Marco;Tao Yang

  • A simulation system for WMN based on SA: performance evaluation for different instances and starting temperature values

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

Frequent Co-Authors

Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Makoto Takizawa
Makoto Takizawa Hosei University
Shinji Sakamoto
Shinji Sakamoto Kanazawa Institute of Technology
Arjan Durresi
Arjan Durresi Indiana University – Purdue University Indianapolis
Tomoya Enokido
Tomoya Enokido Rissho University
Vincenzo Loia
Vincenzo Loia University of Salerno
Farookh Khadeer Hussain
Farookh Khadeer Hussain University of Technology Sydney
Joanna Kolodziej
Joanna Kolodziej NASK National Research Institute
Ciprian Dobre
Ciprian Dobre Polytechnic University of Bucharest

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

For students interested in Computer Science, there are several flexible and rewarding alternative paths to consider. Many institutions now offer online electrical engineering career outcomes that open doors to high-tech roles—ranging from software development to systems design—without the need to relocate.

Not everyone wants to invest years in education. Some students opt for certificate programs that pay well. These programs can often be completed in just months and prepare graduates for lucrative roles in IT support, cybersecurity, or data analysis.

If your goal is to advance as fast as possible, you can explore quick masters degrees online. These accelerated programs help you gain industry-relevant skills in one year or less, making it easier to balance work and study.

Wondering which next step will set you apart in the job market? Consider pursuing one of which master's degree is most in demand in usa to ensure your qualifications align with evolving employer needs.

Best Scientists Citing Makoto Ikeda

Trending Scientists