World's Best Scientists 2026 revealed!
Yutaka Matsuo

Yutaka Matsuo

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
47
Citations
14985
World Ranking
6322
National Ranking
87

Yutaka Matsuo 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 Yutaka Matsuo 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: 291 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Yutaka Matsuo 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 Yutaka Matsuo 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: 47 D-Index — 56th percentile

56% 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

Yutaka Matsuo is affiliated with the University of Tokyo in Japan and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their body of work spans several specialized areas including artificial intelligence, computer vision and pattern recognition, statistical and nonlinear physics, atomic and molecular physics and optics, and nuclear and high energy physics.

The scientist's research topics cover a range of advanced themes such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Reinforcement Learning in Robotics
  • Advanced Neural Network Applications

Matsuo has published frequently in several venues, with a particular emphasis on:

  • arXiv (Cornell University)
  • Transactions of the Japanese Society for Artificial Intelligence
  • SSRN Electronic Journal
  • Proceedings of the International AAAI Conference on Web and Social Media
  • New Generation Computing

Collaborations have played a significant role in Matsuo's work, with frequent co-authors including:

  • Yusuke Iwasawa
  • Shixiang Gu
  • Edison Marrese-Taylor
  • Masahiro Suzuki
  • Jiaxian Guo

Selected recent papers exemplify the range and scope of Matsuo's research contributions. These include:

  • Large Language Models are Zero-Shot Reasoners, 2022, published in arXiv (Cornell University)
  • Deep learning with RGB and thermal images onboard a drone for monitoring operations, 2022, published in the Journal of Field Robotics
  • Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting, 2022, published in Sensors
  • Graph-based knowledge tracing: Modeling student proficiency using graph neural networks, 2021, published in Web Intelligence
  • Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow, 2022, published in Pattern Recognition Letters

The collection of work by Yutaka Matsuo reflects a strong orientation toward machine learning approaches applied in varied contexts, including robotics, natural language processing, and video analysis. Their interdisciplinary approach encompasses computational techniques and practical applications in emerging technologies.

Best Publications

  • Earthquake shakes Twitter users: real-time event detection by social sensors

    Takeshi Sakaki;Makoto Okazaki;Yutaka Matsuo

  • KEYWORD EXTRACTION FROM A SINGLE DOCUMENT USING WORD CO-OCCURRENCE STATISTICAL INFORMATION

    Yutaka Matsuo;Mitsuru Ishizuka

  • Measuring Semantic Similarity between Words Using Web Search Engines

    Danushka Bollegala;Yutaka Matsuo;Mitsuru Ishizuka

  • Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development

    T. Sakaki;M. Okazaki;Y. Matsuo

  • POLYPHONET: An advanced social network extraction system from the Web

    Yutaka Matsuo;Junichiro Mori;Masahiro Hamasaki;Takuichi Nishimura

  • Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

    Hiromi Nakagawa;Yusuke Iwasawa;Yutaka Matsuo

  • A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

    D. Bollegala;Y. Matsuo;M. Ishizuka

  • The development of an optimal control system for window shading devices based on investigations in office buildings

    T. Inoue;T. Kawase;T. Ibamoto;S. Takakusa

  • POLYPHONET: an advanced social network extraction system from the web

    Yutaka Matsuo;Junichiro Mori;Masahiro Hamasaki;Keisuke Ishida

  • Community gravity: measuring bidirectional effects by trust and rating on online social networks

    Yutaka Matsuo;Hikaru Yamamoto

  • Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

    Mohammadamin Barekatain;Miquel Marti;Hsueh-Fu Shih;Samuel Murray

  • Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder.

    Kei Akuzawa;Yusuke Iwasawa;Yutaka Matsuo

  • Graph-based Word Clustering using a Web Search Engine

    Yutaka Matsuo;Takeshi Sakaki;Kôki Uchiyama;Mitsuru Ishizuka

  • Relational duality: unsupervised extraction of semantic relations between entities on the web

    Danushka Tarupathi Bollegala;Yutaka Matsuo;Mitsuru Ishizuka

  • Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web

    Yulan Yan;Naoaki Okazaki;Yutaka Matsuo;Zhenglu Yang

  • Relation extraction from wikipedia using subtree mining

    Dat P. T. Nguyen;Yutaka Matsuo;Mitsuru Ishizuka

  • Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach☆

    Edison Marrese-Taylor;Juan D. Velásquez;Felipe Bravo-Marquez;Yutaka Matsuo

  • Joint Multimodal Learning with Deep Generative Models

    Masahiro Suzuki;Kotaro Nakayama;Yutaka Matsuo

  • Real-world oriented information sharing using social networks

    Junichiro Mori;Tatsuhiko Sugiyama;Yutaka Matsuo

  • A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

    Pablo Loyola;Edison Marrese-Taylor;Yutaka Matsuo

Frequent Co-Authors

Mitsuru Ishizuka
Mitsuru Ishizuka University of Tokyo
Danushka Bollegala
Danushka Bollegala University of Liverpool
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Helmut Prendinger
Helmut Prendinger National Institute of Informatics
Shixiang Gu
Shixiang Gu Google (United States)
Sergio Escalera
Sergio Escalera University of Barcelona
Stephen Gould
Stephen Gould Australian National University
Boi Faltings
Boi Faltings École Polytechnique Fédérale de Lausanne
Sergey Levine
Sergey Levine University of California, Berkeley

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