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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
15825
World Ranking
3214
National Ranking
26

Yuji Matsumoto 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 Yuji Matsumoto 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: 494 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Yuji Matsumoto 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 Yuji Matsumoto 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: 60 D-Index — 78th percentile

78% 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

Yuji Matsumoto is affiliated with the Nara Institute of Science and Technology in Japan. Their research spans multiple fields primarily focused on materials science and engineering.

The main fields of study covered by their work include:

  • Materials Science
  • Engineering

Within these fields, their subfields of study are:

  • Materials Chemistry
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Catalysis
  • Electrochemistry

The principal topics addressed in their publications are:

  • Ionic liquids properties and applications
  • Electronic and Structural Properties of Oxides
  • Electrochemical Analysis and Applications
  • Semiconductor materials and devices
  • Liquid Crystal Research Advancements
  • Rare-earth and actinide compounds
  • Organic Electronics and Photovoltaics

Yuji Matsumoto has contributed to frequent publication venues including:

  • Japanese Journal of Applied Physics
  • CrystEngComm
  • ACS Applied Materials & Interfaces
  • Chemistry Letters
  • Crystal Growth & Design

Recent papers published by Yuji Matsumoto include:

  • "Intumescent Flame Retardant Mechanism of Lignosulfonate as a Char Forming Agent in Rigid Polyurethane Foam," 2021, Polymers
  • "Carrier Transport Switching of Ferroelectric BTBT Derivative," 2024, Journal of the American Chemical Society
  • "High-Throughput and Autonomous Grazing Incidence X-ray Diffraction Mapping of Organic Combinatorial Thin-Film Library Driven by Machine Learning," 2020, ACS Combinatorial Science
  • "Artificially Designed Compositionally Graded Sr-Doped NaTaO3 Single-Crystalline Thin Films and the Dynamics of Their Photoexcited Electron-Hole Pairs," 2020, Chemistry of Materials
  • "Direct visualization of kinetic reversibility of crystallization and dissolution behavior at solution growth interface of SiC in Si-Cr solvent," 2021, Surfaces and Interfaces

Some of the frequent coauthors collaborating with Yuji Matsumoto are:

  • Shingo Maruyama
  • Kenichi Kaminaga
  • Tomoyuki Koganezawa
  • Kanae Tsujita
  • Yoshinori Haga

Best Publications

  • Applying Conditional Random Fields to Japanese Morphological Analysis

    Taku Kudo;Kaoru Yamamoto;Yuji Matsumoto

  • Statistical Dependency Analysis with Support Vector Machines

    Hiroyasu Yamada;Yuji Matsumoto

  • Chunking with support vector machines

    Taku Kudo;Yuji Matsumoto

  • Japanese dependency analysis using cascaded chunking

    Taku Kudo;Yuji Matsumoto

  • LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

    Ikuya Yamada;Akari Asai;Hiroyuki Shindo;Hideaki Takeda

  • Use of support vector learning for chunk identification

    Taku Kudoh;Yuji Matsumoto

  • Collecting evaluative expressions for opinion extraction

    Nozomi Kobayashi;Kentaro Inui;Yuji Matsumoto;Kenji Tateishi

  • Japanese Named Entity extraction with redundant morphological analysis

    Masayuki Asahara;Yuji Matsumoto

  • Ridge regression, hubness, and zero-shot learning

    Yutaro Shigeto;Ikumi Suzuki;Kazuo Hara;Masashi Shimbo

  • Fast Methods for Kernel-Based Text Analysis

    Taku Kudo;Yuji Matsumoto

  • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

    Yuji Matsumoto;Rada Mihalcea

  • Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach

    Takuo Hamaguchi;Hidekazu Oiwa;Masashi Shimbo;Yuji Matsumoto

  • An Application of Boosting to Graph Classification

    Taku Kudo;Eisaku Maeda;Yuji Matsumoto

  • Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining

    Nozomi Kobayashi;Kentaro Inui;Yuji Matsumoto

  • BUP: A Bottom-Up Parser Embedded in Prolog

    Yuji Matsumoto;Hozumi Tanaka;Hideki Hirakawa;Hideo Miyoshi

  • Emotion Classification Using Massive Examples Extracted from the Web

    Ryoko Tokhisa;Kentaro Inui;Yuji Matsumoto

  • A new approach to unsupervised text summarization

    Tadashi Nomoto;Yuji Matsumoto

  • Universal Dependencies 1.2

    Joakim Nivre;Željko Agić;Maria Jesus Aranzabe;Masayuki Asahara

  • Mining Revision Log of Language Learning SNS for Automated Japanese Error Correction of Second Language Learners

    Tomoya Mizumoto;Mamoru Komachi;Masaaki Nagata;Yuji Matsumoto

  • Interpretable Adversarial Perturbation in Input Embedding Space for Text

    Motoki Sato;Jun Suzuki;Hiroyuki Shindo;Yuji Matsumoto

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Hideomi Koinuma
Hideomi Koinuma Tokyo Institute of Technology
Kentaro Inui
Kentaro Inui Tohoku University
Masashi Kawasaki
Masashi Kawasaki University of Tokyo
Kevin Duh
Kevin Duh Johns Hopkins University
Tetsuya Hasegawa
Tetsuya Hasegawa University of Tokyo
Toyohiro Chikyow
Toyohiro Chikyow National Institute for Materials Science
Masaharu Oshima
Masaharu Oshima University of Tokyo
Tomoteru Fukumura
Tomoteru Fukumura Tohoku University
Hiroshi Kumigashira
Hiroshi Kumigashira Tohoku University
Hajime Okumura
Hajime Okumura National Institute of Advanced Industrial Science and Technology

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