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Koji Tsuda
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Computer Science
Japan
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 59 3360 3264 29 29 272 18997

Koji Tsuda publications per year

The chart shows the history of publications by Koji Tsuda between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Koji Tsuda published across 31 years, from 1995 to 2025, averaging 11.9 papers a year. Output peaked at 32 publications in 2021. 40 of the 368 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2021. 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 1 publication 1999: 2 publications 2000: 0 publications 2001: 4 publications 2002: 6 publications 2003: 5 publications 2004: 26 publications 2005: 5 publications 2006: 8 publications 2007: 11 publications 2008: 7 publications 2009: 14 publications 2010: 8 publications 2011: 14 publications 2012: 7 publications 2013: 8 publications 2014: 8 publications 2015: 11 publications 2016: 15 publications 2017: 10 publications 2018: 28 publications 2019: 21 publications 2020: 21 publications 2021: 32 publications 2022: 23 publications 2023: 29 publications 2024: 13 publications 2025: 27 publications
1995 2025

368 publications in total across all disciplines

View publications per year as a table
Koji Tsuda: publications per year, 1995 to 2025
Year Publications
1995 1
1996 1
1997 2
1998 1
1999 2
2000 0
2001 4
2002 6
2003 5
2004 26
2005 5
2006 8
2007 11
2008 7
2009 14
2010 8
2011 14
2012 7
2013 8
2014 8
2015 11
2016 15
2017 10
2018 28
2019 21
2020 21
2021 32
2022 23
2023 29
2024 13
2025 27
Total 368
Download as CSV

Koji Tsuda 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 Koji Tsuda sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 272–281 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335 272
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Koji Tsuda 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 Koji Tsuda sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400 59
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Koji Tsuda is affiliated with the University of Tokyo in Japan. Their research spans multiple domains with a particular focus on computer science, materials science, and biochemistry, genetics, and molecular biology. This multidisciplinary approach is reflected in their main fields of study, which include:

  • Computer Science
  • Materials Science
  • Biochemistry, Genetics and Molecular Biology

Their work also extends into several subfields, emphasizing the intersection of computational techniques and biological or material systems. The subfields include:

  • Materials Chemistry
  • Molecular Biology
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Tsuda has contributed to research on a variety of specialized topics, including:

  • Machine Learning in Materials Science
  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics
  • X-ray Diffraction in Crystallography
  • Monoclonal and Polyclonal Antibodies Research
  • Machine Learning and Data Classification
  • Quantum Computing Algorithms and Architecture

The scientist has published recent papers in leading academic venues. Notable papers include:

  • Designing metamaterials with quantum annealing and factorization machines (2020), Physical Review Research
  • Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks (2020), ACS Omega
  • Black-Box Optimization for Automated Discovery (2021), Accounts of Chemical Research
  • Bayesian optimization package: PHYSBO (2022), Computer Physics Communications
  • Machine learning-driven optimization in powder manufacturing of Ni-Co based superalloy (2020), Materials & Design

Frequently appearing collaborators in Tsuda's publications include:

  • Ryo Tamura
  • Kei Terayama
  • Masato Sumita
  • Andrejs Tučs
  • Adnan Sljoka

The publication record also shows regular appearances in several key academic venues, including:

  • arXiv (Cornell University)
  • Science and Technology of Advanced Materials Methods
  • Scientific Reports
  • Digital Discovery
  • Journal of Chemical Theory and Computation

Best Publications

  • An introduction to kernel-based learning algorithms

    K.-R. Muller;S. Mika;G. Ratsch;K. Tsuda

  • Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks

    Andrejs Tucs;Duy Phuoc Tran;Akiko Yumoto;Yoshihiro Ito

  • Marginalized kernels between labeled graphs

    Hisashi Kashima;Koji Tsuda;Akihiro Inokuchi

  • Kernel Methods in Computational Biology

    Bernhard Schölkopf;Koji Tsuda;Jean-Philippe Vert

  • A Primer on Kernel Methods

    JP Vert;K Tsuda;B Schölkopf;B. Schölkopf K. Tsuda

  • Support Vector Machine Applications in Computational Biology

    Bernhard Schölkopf;Koji Tsuda;Jean-Philippe Vert

  • COMBO: An efficient Bayesian optimization library for materials science

    Tsuyoshi Ueno;Trevor David Rhone;Zhufeng Hou;Teruyasu Mizoguchi

  • Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single- and binary-component solids

    Atsuto Seko;Tomoya Maekawa;Koji Tsuda;Isao Tanaka

  • Fast protein classification with multiple networks

    Koji Tsuda;Hyunjung Shin;Bernhard Schölkopf

  • ChemTS: an efficient python library for de novo molecular generation

    Xiufeng Yang;Jinzhe Zhang;Kazuki Yoshizoe;Kei Terayama

  • Marginalized kernels for biological sequences.

    Koji Tsuda;Taishin Kin;Kiyoshi Asai

  • Discriminative Subsequence Mining for Action Classification

    S. Nowozin;G. Bakir;K. Tsuda

  • Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection

    Koji Tsuda;Gunnar Rätsch;Manfred K. Warmuth

  • A New Discriminative Kernel From Probabilistic Models

    Koji Tsuda;Motoaki Kawanabe;Gunnar Rätsch;Sören Sonnenburg

  • Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction

    Hisashi Kashima;Tsuyoshi Kato;Yoshihiro Yamanishi;Masashi Sugiyama

  • Crystal structure prediction accelerated by Bayesian optimization

    Tomoki Yamashita;Tomoki Yamashita;Nobuya Sato;Hiori Kino;Takashi Miyake;Takashi Miyake

  • Machine-learning prediction of the d-band center for metals and bimetals

    Ichigaku Takigawa;Ichigaku Takigawa;Ken-ichi Shimizu;Ken-ichi Shimizu;Koji Tsuda;Koji Tsuda;Koji Tsuda;Satoru Takakusagi

  • Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins

    Yutaka Saito;Misaki Oikawa;Hikaru Nakazawa;Teppei Niide

  • Kernels for graphs

    H Kashima;K Tsuda;A Inokuchi;B. Schoelkopf K. Tsuda

  • gBoost: a mathematical programming approach to graph classification and regression

    Hiroto Saigo;Sebastian Nowozin;Tadashi Kadowaki;Taku Kudo

  • Learning kernels from biological networks by maximizing entropy

    K Tsuda;WS Noble

Frequent Co-Authors

Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Kiyoshi Asai
Kiyoshi Asai University of Tokyo
Junichiro Shiomi
Junichiro Shiomi University of Tokyo
Jean-Philippe Vert
Jean-Philippe Vert Google (United States)
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
Hisashi Kashima
Hisashi Kashima Kyoto University
Takeaki Uno
Takeaki Uno National Institute of Informatics
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Masashi Sugiyama
Masashi Sugiyama RIKEN

External Links

Personal website of Koji Tsuda Google Scholar page

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Best Scientists Citing Koji Tsuda

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 185

Jean-Philippe Vert

Jean-Philippe Vert

Google (United States)

Publications: 63

Karsten M. Borgwardt

Karsten M. Borgwardt

Max Planck Institute of Biochemistry

Publications: 54

Edwin R. Hancock

Edwin R. Hancock

University of York

Publications: 42

Bernhard Schölkopf

Bernhard Schölkopf

Max Planck Institute for Intelligent Systems

Publications: 33

William Stafford Noble

William Stafford Noble

University of Washington

Publications: 32

Gunnar Rätsch

Gunnar Rätsch

ETH Zurich

Publications: 31

Ioannis Pitas

Ioannis Pitas

Aristotle University of Thessaloniki

Publications: 30

Hisashi Kashima

Hisashi Kashima

Kyoto University

Publications: 29

Yoshihiro Yamanishi

Yoshihiro Yamanishi

Nagoya University

Publications: 29

Benjamin Blankertz

Benjamin Blankertz

Technical University of Berlin

Publications: 28

Alexander J. Smola

Alexander J. Smola

Amazon (United States)

Publications: 28

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 27

Marius Kloft

Marius Kloft

Technical University of Kaiserslautern

Publications: 26

Masashi Sugiyama

Masashi Sugiyama

RIKEN

Publications: 25

Tatsuya Akutsu

Tatsuya Akutsu

Kyoto University

Publications: 25

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Diana J. Burgess

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