World's Best Scientists 2026 revealed!
Shusaku Tsumoto

Shusaku Tsumoto

D-Index & Metrics

Computer Science

D-Index
31
Citations
4872
World Ranking
13543
National Ranking
225

Shusaku Tsumoto 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 Shusaku Tsumoto 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: 582 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Shusaku Tsumoto 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 Shusaku Tsumoto 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Shusaku Tsumoto is affiliated with Shimane University in Japan and has contributed extensively to the field of computer science, with a focus on areas intersecting with healthcare and medicine. Their research predominantly explores artificial intelligence, signal processing, computational theory and mathematics, information systems, and general health professions.

The main topics in Tsumoto's work include:

  • Rough Sets and Fuzzy Logic
  • Data Management and Algorithms
  • Data Mining Algorithms and Applications
  • Time Series Analysis and Forecasting
  • Biomedical Text Mining and Ontologies
  • Intensive Care Unit Cognitive Disorders
  • Advanced Clustering Algorithms Research

Tsumoto's recent publications demonstrate an interdisciplinary approach, combining clinical process mining and hospital data with computing methodologies. Notable papers include:

  • "Real-World Preventive Effects of Suvorexant in Intensive Care Delirium," 2020, The Journal of Clinical Psychiatry
  • "An approach to exploring associations between hospital structural measures and patient satisfaction by distance-based analysis," 2021, BMC Health Services Research
  • "Mining Clinical Process from Hospital Information System: A Granular Computing Approach," 2021, Fundamenta Informaticae
  • "Mining Clinical Pathways Using Dual Clustering," 2021, The Review of Socionetwork Strategies
  • "Determination of Disease from Discharge Summaries," 2021, The Review of Socionetwork Strategies

The scientist has collaborated frequently with peers such as Shoji Hirano, Tomohiro Kimura, Muneto Izuhara, Hisae Kihara Izuhara, and Keiko Tsuchie.

Publication venues where Tsumoto's research commonly appears include:

  • The Review of Socionetwork Strategies
  • 2022 IEEE International Conference on Big Data (Big Data)
  • The Journal of Clinical Psychiatry
  • 2021 IEEE International Conference on Big Data (Big Data)
  • BMC Health Services Research

In addition to journal articles and conference proceedings, Tsumoto authored a book titled Recommender Systems for Medicine and Music, published by Springer Nature in 2021.

Best Publications

  • Foundations of Intelligent Systems

    Zbigniew W. Ras;Andrzej Skowron;Qiuming Zhu;Z. Chen

  • Automated extraction of medical expert system rules from clinical databases based on rough set theory

    Shusaku Tsumoto

  • Rough Set Methods and Applications

    Lech Polkowski;Shusaku Tsumoto;Tsau Y. Lin

  • Rough set methods and applications: new developments in knowledge discovery in information systems

    Lech Polkowski;Shusaku Tsumoto;Tsau Young Lin

  • Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model

    Shusaku Tsumoto

  • Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic

    Shusaku Tsumoto

  • Rough Set Theory and Granular Computing

    Masahiro Inuiguchi;Shusaku Tsumoto;Shoji Hirano

  • Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model

    Shusaku Tsumoto

  • PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS

    Shusaku Tsumoto;Hiroshi Tanaka

  • Automated discovery of medical expert system rules from clinical databases based on rough sets

    Shusaku Tsumoto;Hiroshi Tanaka

  • Modelling Medical Diagnostic Rules Based on Rough Sets

    Shusaku Tsumoto

  • Automated extraction of hierarchical decision rules from clinical databases using rough set model

    Shusaku Tsumoto

  • Comparison of clustering methods for clinical databases

    Shoji Hirano;Xiaoguang Sun;Shusaku Tsumoto

  • A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital

    Eisuke Hanada;Shusaku Tsumoto;Shotai Kobayashi

  • Automated discovery of positive and negative knowledge in clinical databases

    S. Tsumoto

  • Evaluation of rule interestingness measures in medical knowledge discovery in databases

    Miho Ohsaki;Hidenao Abe;Shusaku Tsumoto;Hideto Yokoi

  • Risk Mining in Medicine: Application of Data Mining to Medical Risk Management

    Shusaku Tsumoto;Yuko Tsumoto;Kimiko Matsuoka;Shigeki Yokoyama

  • Rough representation of a region of interest in medical images

    Shoji Hirano;Shusaku Tsumoto

  • Accuracy and Coverage in Rough Set Rule Induction

    Shusaku Tsumoto

  • An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-

    Shoji Hirano;Shusaku Tsumoto

  • Subgraph Support in a Single Large Graph

    Unknown

  • Similarity-based behavior and process mining of medical practices

    Shusaku Tsumoto;Haruko Iwata;Shoji Hirano;Yuko Tsumoto

  • Mining similar temporal patterns in long time-series data and its application to medicine

    S. Hirano;S. Tsumoto

  • Modeling Decisions for Artificial Intelligence : 13th International Conference, MDAI 2016Sant Juliàde Lòria, Andorra, September 19–21, 2016: Proceedings

    Vicenç Torra;Yasuo Narukawa;Guillermo Navarro-Arribas;Cristina Yañez

Frequent Co-Authors

Tsau Young Lin
Tsau Young Lin San Jose State University
Lech Polkowski
Lech Polkowski Polish-Japanese Academy of Information Technology
Hiroshi Motoda
Hiroshi Motoda Osaka University
Yingxu Wang
Yingxu Wang University of Calgary
Yiyu Yao
Yiyu Yao University of Regina
Yuefeng Li
Yuefeng Li Queensland University of Technology
Niels Taatgen
Niels Taatgen University of Groningen
Masahiro Inuiguchi
Masahiro Inuiguchi Osaka University
Kouhei Tsumoto
Kouhei Tsumoto University of Tokyo
James F. Peters
James F. Peters University of Manitoba

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