World's Best Scientists 2026 revealed!
Masayuki Abe

Masayuki Abe

D-Index & Metrics

Computer Science

D-Index
35
Citations
5944
World Ranking
11608
National Ranking
176

Masayuki 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 Masayuki 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Masayuki 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 Masayuki 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Masayuki Abe is affiliated with Kyoto University in Japan and has contributed extensively to research in computer science and engineering. Their work spans multiple subfields with significant focus on artificial intelligence, atomic and molecular physics and optics, electrical and electronic engineering, materials chemistry, and computational theory and mathematics.

Their research covers a variety of main topics, including:

  • Force Microscopy Techniques and Applications
  • Cryptography and Data Security
  • Electronic and Structural Properties of Oxides
  • Complexity and Algorithms in Graphs
  • Advanced Electron Microscopy Techniques and Applications
  • Electromagnetic Compatibility and Noise Suppression
  • Lightning and Electromagnetic Phenomena

Masayuki Abe has been published in numerous respected venues, with frequent publications in:

  • Scientific Reports
  • Applied Physics Letters
  • NTT technical review
  • Journal of the Ceramic Society of Japan
  • arXiv (Cornell University)

They have also authored a book published by World Scientific, titled Fundamentals of Electric Circuits and Transmission Lines (2022).

Recent papers by Masayuki Abe include:

  • Antibacterial Activity of Membrane-Permeabilizing Bactericidal Cyclodextrin Derivatives, 2021, ACS Omega
  • Local states of chromatin compaction at transcription start sites control transcription levels, 2021, Nucleic Acids Research
  • Guessing Bits: Improved Lattice Attacks on (EC)DSA with Nonce Leakage, 2021, IACR Transactions on Cryptographic Hardware and Embedded Systems
  • Automatic drift compensation for nanoscale imaging using feature point matching, 2023, Applied Physics Letters
  • Relation of Integro-Partial Differential Equations With Delay Effect Based on the Maxwell Equations to the Heaviside and Pocklington Equations, 2020, IEEE Transactions on Electromagnetic Compatibility

Frequent coauthors collaborating with Masayuki Abe include:

  • Hayato Yamashita
  • Zhuo Diao
  • Linfeng Hou
  • Mehdi Tibouchi
  • H. Toki

Best Publications

  • How to Date Blind Signatures

    Masayuki Abe;Eiichiro Fujisaki

  • 1-out-of-n signatures from a variety of keys

    Masayuki Abe;Miyako Ohkubo;Koutarou Suzuki

  • Structure-preserving signatures and commitments to group elements

    Masayuki Abe;Georg Fuchsbauer;Jens Groth;Kristiyan Haralambiev

  • Provably Secure Partially Blind Signatures

    Masayuki Abe;Tatsuaki Okamoto

  • Mix-networks on permutation networks

    M. Abe

  • Universally Verifiable Mix-net with Verification Work Indendent of the Number of Mix-servers

    Unknown

  • An Improvement on a Practical Secret Voting Scheme

    Miyako Ohkubo;Fumiaki Miura;Masayuki Abe;Atsushi Fujioka

  • Tag-KEM/DEM: a new framework for hybrid encryption and a new analysis of kurosawa-desmedt KEM

    Masayuki Abe;Rosario Gennaro;Kaoru Kurosawa;Victor Shoup

  • Packing Messages and Optimizing Bootstrapping in GSW-FHE

    Ryo Hiromasa;Masayuki Abe;Tatsuaki Okamoto

  • M+1-st price auction using homomorphic encryption

    Masayuki Abe;Koutarou Suzuki

  • Optimal structure-preserving signatures in asymmetric bilinear groups

    Masayuki Abe;Jens Groth;Kristiyan Haralambiev;Miyako Ohkubo

  • Remarks on Mix-Network Based on Permutation Networks

    Masayuki Abe;Fumitaka Hoshino

  • A Secure Three-Move Blind Signature Scheme for Polynomially Many Signatures

    Masayuki Abe

  • A Length-invariant Hybrid Mix

    Miyako Ohkubo;Masayuki Abe

  • Constant-Size Structure-Preserving Signatures: Generic Constructions and Simple Assumptions

    Masayuki Abe;Melissa Chase;Bernardo David;Markulf Kohlweiss

  • Perfect NIZK with adaptive soundness

    Masayuki Abe;Serge Fehr

  • Signing on elements in bilinear groups for modular protocol de-sign.

    Masayuki Abe;Kristiyan Haralambiev;Miyako Ohkubo

  • Tag-KEM/DEM: A New Framework for Hybrid Encryption

    Masayuki Abe;Rosario Gennaro;Kaoru Kurosawa

  • Adaptively Secure Feldman VSS and Applications to Universally-Composable Threshold Cryptography

    Masayuki Abe;Serge Fehr

  • Constant-Size structure-preserving signatures: generic constructions and simple assumptions

    Masayuki Abe;Melissa Chase;Bernardo David;Markulf Kohlweiss

  • Structure-Preserving Signatures and Commitments to Group Elements

    Masayuki Abe;Georg Fuchsbauer;Jens Groth;Kristiyan Haralambiev

Frequent Co-Authors

Tatsuaki Okamoto
Tatsuaki Okamoto NTT (Japan)
Mehdi Tibouchi
Mehdi Tibouchi NTT (Japan)
Markulf Kohlweiss
Markulf Kohlweiss University of Edinburgh
Jens Groth
Jens Groth University College London
Serge Fehr
Serge Fehr Centrum Wiskunde & Informatica
Kaoru Kurosawa
Kaoru Kurosawa Ibaraki University
Eike Kiltz
Eike Kiltz Ruhr University Bochum
Charanjit S. Jutla
Charanjit S. Jutla IBM (United States)
Alon Rosen
Alon Rosen Bocconi University

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