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Hiroshi Mamitsuka

Hiroshi Mamitsuka

Kyoto University
Japan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8848 8598 123 117 226 7026

Hiroshi Mamitsuka publications per year

The chart shows the history of publications by Hiroshi Mamitsuka between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hiroshi Mamitsuka published across 34 years, from 1992 to 2025, averaging 7.2 papers a year. Output peaked at 22 publications in 2021. 12 of the 245 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2021. 1992: 2 publications 1993: 2 publications 1994: 4 publications 1995: 3 publications 1996: 1 publication 1997: 2 publications 1998: 3 publications 1999: 1 publication 2000: 1 publication 2001: 0 publications 2002: 5 publications 2003: 12 publications 2004: 7 publications 2005: 11 publications 2006: 9 publications 2007: 10 publications 2008: 8 publications 2009: 7 publications 2010: 13 publications 2011: 11 publications 2012: 12 publications 2013: 15 publications 2014: 5 publications 2015: 7 publications 2016: 16 publications 2017: 6 publications 2018: 11 publications 2019: 14 publications 2020: 5 publications 2021: 22 publications 2022: 3 publications 2023: 5 publications 2024: 5 publications 2025: 7 publications
1992 2025

245 publications in total across all disciplines

View publications per year as a table
Hiroshi Mamitsuka: publications per year, 1992 to 2025
Year Publications
1992 2
1993 2
1994 4
1995 3
1996 1
1997 2
1998 3
1999 1
2000 1
2001 0
2002 5
2003 12
2004 7
2005 11
2006 9
2007 10
2008 8
2009 7
2010 13
2011 11
2012 12
2013 15
2014 5
2015 7
2016 16
2017 6
2018 11
2019 14
2020 5
2021 22
2022 3
2023 5
2024 5
2025 7
Total 245
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Hiroshi Mamitsuka 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 Hiroshi Mamitsuka 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, 222–231 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: 226 publications — 55th percentile

55% 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
222–231 437 226
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
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

Hiroshi Mamitsuka 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 Hiroshi Mamitsuka 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, 40–41 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: 41 D-Index — 40th percentile

40% 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 41
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
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

Overview

Hiroshi Mamitsuka is affiliated with Kyoto University in Japan and has a substantial publication record in the intersection of biochemistry, genetics, molecular biology, and computer science. Their research predominantly spans molecular biology and computational theory, with a notable emphasis on artificial intelligence and its applications.

Their recent scholarly output includes several papers published between 2020 and 2022. Among these are "DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction" (2021, Bioinformatics), "Machine learning approaches for drug combination therapies" (2021, Briefings in Bioinformatics), "Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean" (2020, iScience), "BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text" (2020, Bioinformatics), and "DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction" (2022, Bioinformatics).

The primary topics covered in their research include computational drug discovery methods, bioinformatics and genomic networks, biomedical text mining and ontologies, machine learning in bioinformatics, vaccines and immunoinformatics approaches, machine learning in materials science, and advanced graph neural networks.

The scientist regularly collaborates with several coauthors. Frequent collaborators include Canh Hao Nguyen, Shanfeng Zhu, Ronghui You, Hai Nguyen, and Đức Anh Nguyễn.

Hiroshi Mamitsuka's work has appeared in various publication venues, with multiple contributions to:

  • Bioinformatics
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Briefings in Bioinformatics
  • Machine Learning

Their scientific pursuits demonstrate a blend of expertise in computational methods and their applications to biological systems, focusing on both theoretical and practical aspects of machine learning-enhanced biological data analysis.

Best Publications

  • Query Learning Strategies Using Boosting and Bagging

    Naoki Abe;Hiroshi Mamitsuka

  • Similarity-based machine learning methods for predicting drug–target interactions: a brief review

    Hao Ding;Ichigaku Takigawa;Hiroshi Mamitsuka;Shanfeng Zhu

  • Collaborative matrix factorization with multiple similarities for predicting drug-target interactions

    Xiaodong Zheng;Hao Ding;Hiroshi Mamitsuka;Shanfeng Zhu

  • Predicting Peptides That Bind to MHC Molecules Using Supervised Learning of Hidden Markov Models

    Hiroshi Mamitsuka

  • GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank

    Ronghui You;Zihan Zhang;Yi Xiong;Fengzhu Sun;Fengzhu Sun

  • AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

    Ronghui You;Zihan Zhang;Ziye Wang;Suyang Dai

  • Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools

    Lianming Zhang;Keiko Udaka;Hiroshi Mamitsuka;Shanfeng Zhu

  • NetGO: improving large-scale protein function prediction with massive network information

    Ronghui You;Ronghui You;Shuwei Yao;Shuwei Yao;Yi Xiong;Xiaodi Huang

  • Multiple Graph Label Propagation by Sparse Integration

    Masayuki Karasuyama;Hiroshi Mamitsuka

  • DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank

    Qingjun Yuan;Junning Gao;Dongliang Wu;Shihua Zhang

  • Selecting features in microarray classification using ROC curves

    Hiroshi Mamitsuka

  • A probabilistic model for mining implicit ‘chemical compound–gene’ relations from literature

    Shanfeng Zhu;Yasushi Okuno;Gozoh Tsujimoto;Hiroshi Mamitsuka

  • DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction.

    Ronghui You;Shuwei Yao;Hiroshi Mamitsuka;Hiroshi Mamitsuka;Shanfeng Zhu

  • DeepMeSH: deep semantic representation for improving large-scale MeSH indexing

    Shengwen Peng;Ronghui You;Hongning Wang;Chengxiang Zhai

  • A spectral clustering approach to optimally combining numericalvectors with a modular network

    Motoki Shiga;Ichigaku Takigawa;Hiroshi Mamitsuka

  • Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity

    Shanfeng Zhu;Jia Zeng;Hiroshi Mamitsuka

  • KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains

    Kiyoko F. Aoki;Atsuko Yamaguchi;Nobuhisa Ueda;Tatsuya Akutsu

  • Calpain Cleavage Prediction Using Multiple Kernel Learning

    David A. duVerle;Yasuko Ono;Hiroyuki Sorimachi;Hiroshi Mamitsuka

  • Machine learning approaches for drug combination therapies.

    Betül Güvenç Paltun;Betül Güvenç Paltun;Samuel Kaski;Samuel Kaski;Samuel Kaski;Hiroshi Mamitsuka;Hiroshi Mamitsuka;Hiroshi Mamitsuka

  • Predicting Protein Secondary Structure Using Stochastic Tree Grammars

    Naoki Abe;Hiroshi Mamitsuka

  • Efficient tree-matching methods for accurate carbohydrate database queries.

    Kiyoko F. Aoki;Atsuko Yamaguchi;Yasushi Okuno;Tatsuya Akutsu

Frequent Co-Authors

Shanfeng Zhu
Shanfeng Zhu Fudan University
Minoru Kanehisa
Minoru Kanehisa Kyoto University
Samuel Kaski
Samuel Kaski Aalto University
Naoki Abe
Naoki Abe IBM (United States)
Fengzhu Sun
Fengzhu Sun University of Southern California
Tatsuya Akutsu
Tatsuya Akutsu Kyoto University
Koji Tsuda
Koji Tsuda University of Tokyo
Kiyoko F. Aoki-Kinoshita
Kiyoko F. Aoki-Kinoshita Soka University of America
Gozoh Tsujimoto
Gozoh Tsujimoto Kyoto University
Hiroyuki Sorimachi
Hiroyuki Sorimachi Tokyo Metropolitan Institute of Medical Science

External Links

Personal website of Hiroshi Mamitsuka

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Best Scientists Citing Hiroshi Mamitsuka

Kiyoko F. Aoki-Kinoshita

Kiyoko F. Aoki-Kinoshita

Soka University of America

Publications: 31

Tatsuya Akutsu

Tatsuya Akutsu

Kyoto University

Publications: 30

Morten Nielsen

Morten Nielsen

Technical University of Denmark

Publications: 22

Shanfeng Zhu

Shanfeng Zhu

Fudan University

Publications: 21

Vladimir Brusic

Vladimir Brusic

University of Nottingham Ningbo China

Publications: 21

Minoru Kanehisa

Minoru Kanehisa

Kyoto University

Publications: 18

Bjoern Peters

Bjoern Peters

La Jolla Institute For Allergy & Immunology

Publications: 17

Yoshihiro Yamanishi

Yoshihiro Yamanishi

Nagoya University

Publications: 17

Alessandro Sette

Alessandro Sette

La Jolla Institute For Allergy & Immunology

Publications: 16

Jijun Tang

Jijun Tang

University of South Carolina

Publications: 16

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 15

Inderjit S. Dhillon

Inderjit S. Dhillon

Google (United States)

Publications: 14

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

Publications: 13

Fadi Dornaika

Fadi Dornaika

Ikerbasque

Publications: 13

Oliver Kohlbacher

Oliver Kohlbacher

University of Tübingen

Publications: 12

Darren R. Flower

Darren R. Flower

Aston University

Publications: 12

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