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Shigeo Abe

Shigeo Abe

D-Index & Metrics

Computer Science

D-Index
37
Citations
9259
World Ranking
10506
National Ranking
157

Shigeo Abe 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 Shigeo Abe 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: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Shigeo Abe 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 Shigeo Abe 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Shigeo Abe is affiliated with Kobe University in Japan and specializes primarily in computer science, engineering, and physics and astronomy. Their research covers several subfields, including computer vision and pattern recognition, artificial intelligence, media technology, astronomy and astrophysics, and control and systems engineering.

Their work has engaged with various main topics, particularly face and expression recognition, remote-sensing image classification, machine learning and algorithms, neural networks and applications, machine learning and extreme learning machines (ELM), advanced algorithms and applications, and blind source separation techniques.

Recent publications by Shigeo Abe include:

  • Minimal Complexity Support Vector Machines for Pattern Classification, 2020, Computers
  • Soft Upper-bound Support Vector Machines, 2022, 2022 International Joint Conference on Neural Networks (IJCNN)
  • The Scientific Observation Campaign of the Hayabusa-2 Capsule Re-entry, 2021, arXiv (Cornell University)

Collaboration is part of their work, with frequent coauthors including Eleanor K. Sansom, Hadrien A. R. Devillepoix, Masayoshi Yamamoto, Satoshi Nozawa, and M. C. Towner.

Shigeo Abe's research has appeared in several publication venues, notably Computers, the 2022 International Joint Conference on Neural Networks (IJCNN), and arXiv (Cornell University).

Best Publications

  • Support Vector Machines for Pattern Classification

    Shigeo Abe

  • Neural Networks and Fuzzy Systems

    Unknown

  • A method for fuzzy rules extraction directly from numerical data and its application to pattern classification

    S. Abe;Ming-Shong Lan

  • Fuzzy support vector machines for pattern classification

    T. Inoue;S. Abe

  • Fuzzy least squares support vector machines for multiclass problems

    Daisuke Tsujinishi;Shigeo Abe

  • Fuzzy rules extraction directly from numerical data for function approximation

    S. Abe;Ming-Shong Lan

  • A fuzzy classifier with ellipsoidal regions

    S. Abe;R. Thawonmas

  • Fuzzy Support Vector Machines for Multiclass Problems

    Shigeo Abe;Takuya Inoue

  • Decision-tree-based multiclass support vector machines

    F. Takahashi;S. Abe

  • Pattern Classification: Neuro-fuzzy Methods and Their Comparison

    Shigeo Abe

  • Feature Selection and Extraction

    Shigeo Abe

  • A neural-network-based fuzzy classifier

    V. Uebele;S. Abe;Ming-Shong Lan

  • Neural Networks and Fuzzy Systems: Theory and Applications

    Shigeo Abe;Anca Ralescu

  • 2005 Special issue: Incremental learning of feature space and classifier for face recognition

    Seiichi Ozawa;Soon Lee Toh;Shigeo Abe;Shaoning Pang

  • Global convergence and suppression of spurious states of the Hopfield neural networks

    S. Abe

  • Incremental learning of feature space and classifier for face recognition

    Seiichi Ozawa;Soon Lee Toh;Shigeo Abe;Shaoning Pang

  • Analysis of Multiclass Support Vector Machines

    Shigeo Abe

  • Multiclass Support Vector Machines

    Shigeo Abe

  • Fuzzy support vector machines for multilabel classification

    Shigeo Abe

  • High performance integrated Prolog processor IPP

    S. Abe;T. Bandoh;S. Yamaguchi;K. Kurosawa

  • A novel approach to feature selection based on analysis of class regions

    R. Thawonmas;S. Abe

  • Original Contribution: Solving inequality constrained combinatorial optimization problems by the hopfield neural networks

    Shigeo Abe;Junzo Kawakami;Kotaroo Hirasawa

Frequent Co-Authors

Nikola Kasabov
Nikola Kasabov Auckland University of Technology
Sabri Arik
Sabri Arik Istanbul University
Ann Nowé
Ann Nowé Vrije Universiteit Brussel
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
David Hawking
David Hawking Microsoft (United States)
Akira Hirose
Akira Hirose University of Tokyo
Teruhiko Beppu
Teruhiko Beppu University of Tokyo
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Roberto Togneri
Roberto Togneri University of Western Australia

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