World's Best Scientists 2026 revealed!
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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
45
Citations
9280
World Ranking
7146
National Ranking
100

Katsuro Inoue 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 Katsuro Inoue 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: 380 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Katsuro Inoue 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 Katsuro Inoue 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: 45 D-Index — 51st percentile

51% 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

Katsuro Inoue is affiliated with Osaka University in Japan and has a significant body of research primarily in the field of Computer Science. Their work spans several subfields including Information Systems, Computer Networks and Communications, Software, Signal Processing, and Computer Science Applications.

Their research topics cover areas related to Software Engineering Research, Advanced Malware Detection Techniques, Open Source Software Innovations, and Software System Performance and Reliability. Additional topics include Software Testing and Debugging Techniques, Software Engineering Techniques and Practices, and Advanced Software Engineering Methodologies.

Inoue's recent publications showcase active engagement with contemporary issues in software engineering and debugging. Notable recent papers include:

  • "WhoReview: A multi-objective search-based approach for code reviewers recommendation in modern code review," 2020, Applied Soft Computing
  • "NOD4J: Near-omniscient debugging tool for Java using size-limited execution trace," 2021, Science of Computer Programming
  • "Code Clone Matching: A Practical and Effective Approach to Find Code Snippets," 2020, arXiv (Cornell University)
  • "Historical perspective of code clone refactorings in evolving software," 2022, PLoS ONE
  • "Evaluating the effectiveness of size-limited execution trace with near-omniscient debugging," 2024, Science of Computer Programming

Frequent coauthors collaborating with Inoue include Takashi Ishio, Kazumasa Shimari, Tetsuya Kanda, Daniel M. Germán, and Raula Gaikovina Kula. These collaborations reflect a network of researchers involved in software engineering and program analysis topics.

Inoue's research appears regularly in several publication venues, illustrating an ongoing contribution to multiple scholarly outlets. These venues include:

  • arXiv (Cornell University)
  • IEICE Transactions on Information and Systems
  • Science of Computer Programming
  • Technische Universität Berlin - Universitätsbibliothek
  • Applied Soft Computing

Best Publications

  • CCFinder: a multilinguistic token-based code clone detection system for large scale source code

    T. Kamiya;S. Kusumoto;K. Inoue

  • Do developers update their library dependencies

    Raula Gaikovina Kula;Daniel M. German;Ali Ouni;Ali Ouni;Takashi Ishio

  • Ranking significance of software components based on use relations

    K. Inoue;R. Yokomori;T. Yamamoto;M. Matsushita

  • MUDABlue: an automatic categorization system for open source repositories

    Shinji Kawaguchi;Pankaj K. Garg;Makoto Matsushita;Katsuro Inoue

  • Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder

    Simone Livieri;Yoshiki Higo;Makoto Matushita;Katsuro Inoue

  • A practical method for watermarking Java programs

    A. Monden;H. Iida;K. Matsumoto;K. Inoue

  • Multi-Criteria Code Refactoring Using Search-Based Software Engineering: An Industrial Case Study

    Ali Ouni;Marouane Kessentini;Houari Sahraoui;Katsuro Inoue

  • Component rank: relative significance rank for software component search

    Katsuro Inoue;Reishi Yokomori;Hikaru Fujiwara;Tetsuo Yamamoto

  • Measuring similarity of large software systems based on source code correspondence

    Tetsuo Yamamoto;Makoto Matsushita;Toshihiro Kamiya;Katsuro Inoue

  • How do developers utilize source code from stack overflow

    Yuhao Wu;Shaowei Wang;Cor-Paul Bezemer;Katsuro Inoue

  • A sentence-matching method for automatic license identification of source code files

    Daniel M. German;Yuki Manabe;Katsuro Inoue

  • Gemini: maintenance support environment based on code clone analysis

    Y. Ueda;T. Kamiya;S. Kusumoto;K. Inoue

  • Function point measurement tool for UML design specification

    T. Uemura;S. Kusumoto;K. Inoue

  • Search-Based Web Service Antipatterns Detection

    Ali Ouni;Marouane Kessentini;Katsuro Inoue;Mel O Cinneide

  • A metric-based approach to identifying refactoring opportunities for merging code clones in a Java software system

    Yoshiki Higo;Shinji Kusumoto;Katsuro Inoue

  • Search-based software library recommendation using multi-objective optimization

    Ali Ouni;Raula Gaikovina Kula;Marouane Kessentini;Takashi Ishio

  • Estimating effort by use case points: method, tool and case study

    S. Kusumoto;F. Matukawa;K. Inoue;S. Hanabusa

  • ARIES: Refactoring support environment based on code clone analysis.

    Yoshiki Higo;Toshihiro Kamiya;Shinji Kusumoto;Katsuro Inoue

  • Refactoring support based on code clone analysis

    Yoshiki Higo;Toshihiro Kamiya;Shinji Kusumoto;Katsuro Inoue

  • Experimental Evaluation of Program Slicing for Fault Localization

    Shinji Kusumoto;Akira Nishimatsu;Keisuke Nishie;Katsuro Inoue

Frequent Co-Authors

Ali Ouni
Ali Ouni École de Technologie Supérieure
Kenichi Matsumoto
Kenichi Matsumoto Nara Institute of Science and Technology
Daniel M. German
Daniel M. German University of Victoria
Marouane Kessentini
Marouane Kessentini University of Michigan–Ann Arbor
James R. Cordy
James R. Cordy Queen's University
Rainer Koschke
Rainer Koschke University of Bremen
Houari Sahraoui
Houari Sahraoui University of Montreal
Atsuo Ogura
Atsuo Ogura University of Tsukuba
Jens Krinke
Jens Krinke University College London
Vaclav Rajlich
Vaclav Rajlich Wayne State University

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