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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
15517
World Ranking
5494
National Ranking
71

Riichiro Mizoguchi 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 Riichiro Mizoguchi 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: 485 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.

Riichiro Mizoguchi 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 Riichiro Mizoguchi 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: 50 D-Index — 62nd percentile

62% 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

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

Overview

Riichiro Mizoguchi is affiliated with the Japan Advanced Institute of Science and Technology in Japan. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, and Language and Linguistics.

Their work concentrates on multiple main topics such as Semantic Web and Ontologies, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Image Processing and 3D Reconstruction, Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics, and Machine Learning in Materials Science.

Riichiro Mizoguchi has published research in various venues, frequently contributing to:

  • arXiv (Cornell University)
  • Applied Ontology
  • Research and Practice in Technology Enhanced Learning
  • Transactions of the Japanese Society for Artificial Intelligence
  • The Journal of Information and Systems in Education

Notable recent papers authored or co-authored by Mizoguchi include:

  • YAMATO: Yet-another more advanced top-level ontology, 2021, Applied Ontology
  • A Proposal for a New Framework of Learner Modeling: From Modeling "Understanding" to "Not Understanding", 2020, The Journal of Information and Systems in Education

Other papers listing Mizoguchi as an author or co-author are:

  • DESIGNING CULTURALLY-AWARE TUTORING SYSTEMS WITH MAUOC, THE MORE ADVANCED UPPER ONTOLOGY OF CULTURE, 2022, Research and Practice in Technology Enhanced Learning
  • Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics, 2022, arXiv (Cornell University)
  • Manipulating Vehicle 3D Shapes through Latent Space Editing, 2024, arXiv (Cornell University)

Frequent co-authors of Mizoguchi include:

  • Stefano Borgo
  • Yoshinobu Kitamura
  • Jing Miao
  • Tatsuya Ikeda
  • Bisser Raytchev

Best Publications

  • The Semantic Web

    Unknown

  • Using Ontological Engineering to Overcome Common AI-ED Problems

    Riichiro Mizoguchi;Jacqueline Bourdeau

  • Advances in Intelligent Tutoring Systems

    Roger Nkambou;Riichiro Mizoguchi;Jacqueline Bourdeau

  • Part 1: introduction to ontological engineering

    Riichiro Mizoguchi

  • Deployment of an ontological framework of functional design knowledge

    Yoshinobu Kitamura;Masakazu Kashiwase;Masayoshi Fuse;Riichiro Mizoguchi

  • Ontology-based systematization of functional knowledge

    Yoshinobu Kitamura;Riichiro Mizoguchi

  • Ontology-based Description of Functional Design Knowledge and its Use in a Functional Way Server

    Yoshinobu Kitamura;Riichiro Mizoguchi

  • The water falls but the waterfall does not fall: New perspectives on objects, processes and events

    Antony Galton;Riichiro Mizoguchi

  • A functional concept ontology and its application to automatic identification of functional structures

    Yoshinobu Kitamura;Toshinobu Sano;Kouji Namba;Riichiro Mizoguchi

  • Knowledge acquisition for knowledge-based systems

    H. Motoda;R. Mizoguchi;J. Boose;B. Gaines

  • Part 3: Advanced course of ontological engineering

    Riichiro Mizoguchi

  • The model of roles within an ontology development tool: Hozo

    Riichiro Mizoguchi;Eiichi Sunagawa;Kouji Kozaki;Yoshinobu Kitamura

  • Tutorial on ontological engineering Part 2: Ontology development, tools and languages

    Riichiro Mizoguchi

  • Hozo: An Environment for Building/Using Ontologies Based on a Fundamental Consideration of Role and Relationship

    Kouji Kozaki;Yoshinobu Kitamura;Mitsuru Ikeda;Riichiro Mizoguchi

  • The Bright and Dark Sides of Gamification

    Fernando R. Andrade;Riichiro Mizoguchi;Seiji Isotani

  • An Ontology Engineering Approach to the Realization of Theory-Driven Group Formation

    Seiji Isotani;Akiko Inaba;Mitsuru Ikeda;Riichiro Mizoguchi

  • Toward knowledge structuring of sustainability science based on ontology engineering

    Terukazu Kumazawa;Osamu Saito;Kouji Kozaki;Takanori Matsui

  • An ontological model of device function: industrial deployment and lessons learned

    Yoshinobu Kitamura;Yusuke Koji;Riichiro Mizoguchi

  • The Semantic Web – ASWC 2006

    Riichiro Mizoguchi;Zhongzhi Shi;Fausto Giunchiglia

  • Applications of a Collaborative Learning Ontology

    Beatriz Barros;Felisa Verdejo;Timothy Read;Riichiro Mizoguchi

  • Ontology Engineering Environments

    Riichiro Mizoguchi;Kouji Kozaki

Frequent Co-Authors

Seiji Isotani
Seiji Isotani University of Pennsylvania
Lora Aroyo
Lora Aroyo Google (United States)
Antony Galton
Antony Galton University of Exeter
Fausto Giunchiglia
Fausto Giunchiglia University of Trento
Zhongzhi Shi
Zhongzhi Shi Chinese Academy of Sciences
Hiroshi Motoda
Hiroshi Motoda Osaka University
Marta Sabou
Marta Sabou Vienna University of Economics and Business
Robert Hoehndorf
Robert Hoehndorf King Abdullah University of Science and Technology
Karl Aberer
Karl Aberer École Polytechnique Fédérale de Lausanne
Arthur C. Graesser
Arthur C. Graesser University of Memphis

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