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Koji Nakano

Koji Nakano publications per year

The chart shows the history of publications by Koji Nakano between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Koji Nakano published across 35 years, from 1991 to 2025, averaging 11.6 papers a year. Output peaked at 24 publications in 2015. 32 of the 405 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2015. 1991: 1 publication 1992: 3 publications 1993: 3 publications 1994: 1 publication 1995: 4 publications 1996: 4 publications 1997: 7 publications 1998: 11 publications 1999: 7 publications 2000: 11 publications 2001: 8 publications 2002: 14 publications 2003: 10 publications 2004: 3 publications 2005: 4 publications 2006: 7 publications 2007: 7 publications 2008: 12 publications 2009: 9 publications 2010: 13 publications 2011: 15 publications 2012: 17 publications 2013: 22 publications 2014: 23 publications 2015: 24 publications 2016: 19 publications 2017: 19 publications 2018: 12 publications 2019: 24 publications 2020: 14 publications 2021: 9 publications 2022: 19 publications 2023: 17 publications 2024: 17 publications 2025: 15 publications
1991 2025

405 publications in total across all disciplines

View publications per year as a table
Koji Nakano: publications per year, 1991 to 2025
Year Publications
1991 1
1992 3
1993 3
1994 1
1995 4
1996 4
1997 7
1998 11
1999 7
2000 11
2001 8
2002 14
2003 10
2004 3
2005 4
2006 7
2007 7
2008 12
2009 9
2010 13
2011 15
2012 17
2013 22
2014 23
2015 24
2016 19
2017 19
2018 12
2019 24
2020 14
2021 9
2022 19
2023 17
2024 17
2025 15
Total 405
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Koji Nakano 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 Nakano 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. 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+

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
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
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
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Koji Nakano 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 Nakano 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. 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+

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
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
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
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Overview

Koji Nakano is affiliated with Hiroshima University in Japan and contributes primarily to the field of Computer Science, with a particular focus on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, and Computer Vision and Pattern Recognition.

Their work encompasses a blend of computational and biomedical disciplines, reflected in main research topics including Quantum Computing Algorithms and Architecture, Cardiac Fibrosis and Remodeling, Tissue Engineering and Regenerative Medicine, Pluripotent Stem Cells Research, Parallel Computing and Optimization Techniques, Congenital Heart Defects Research, and Metaheuristic Optimization Algorithms Research.

Nakano has authored significant publications in notable venues, including multiple papers published in Circulation and journals dedicated to parallel and distributed computing. Frequent publication outlets for their research include:

  • Concurrency and Computation Practice and Experience
  • International Journal of Parallel Emergent and Distributed Systems
  • International Journal of Networking and Computing
  • Circulation
  • Applied Sciences

Recent papers by Koji Nakano include:

  • Direct Reprogramming Improves Cardiac Function and Reverses Fibrosis in Chronic Myocardial Infarction, 2022, Circulation
  • Cardiac Reprogramming and Gata4 Overexpression Reduce Fibrosis and Improve Diastolic Dysfunction in Heart Failure With Preserved Ejection Fraction, 2024, Circulation
  • GPU-accelerated scalable solver with bit permutated cyclic-min algorithm for quadratic unconstrained binary optimization, 2022, Journal of Parallel and Distributed Computing
  • Efficient convolution pooling on the GPU, 2020, Journal of Parallel and Distributed Computing
  • MEF2C/p300-mediated epigenetic remodeling promotes the maturation of induced cardiomyocytes, 2023, Stem Cell Reports

Collaboration with frequent co-authors shows ongoing partnerships in both computational and biomedical research:

  • Yasuaki Ito
  • Yu Yamada
  • Akihiko Kasagi
  • Taketaro Sadahiro
  • Yuto Abe

In addition to journal articles, Nakano has contributed to the academic community through book publications, including the title "Algorithms and Architectures for Parallel Processing," published by Springer Science+Business Media in 2020.

Best Publications

  • Randomized initialization protocols for ad hoc networks

    K. Nakano;S. Olariu

  • Efficient Canny Edge Detection Using a GPU

    Kohei Ogawa;Yasuaki Ito;Koji Nakano

  • Uniform leader election protocols for radio networks

    K. Nakano;S. Olariu

  • An image retrieval system using FPGAs

    Koji Nakano;Etsuko Takamichi

  • Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

    Duhu Man;Kenji Uda;Hironobu Ueyama;Yasuaki Ito

  • Randomized Leader Election Protocols in Radio Networks with No Collision Detection

    Koji Nakano;Stephan Olariu

  • A BIBLIOGRAPHY OF PUBLISHED PAPERS ON DYNAMICALLY RECONFIGURABLE ARCHITECTURES

    Koji Nakano

  • Energy-efficient initialization protocols for single-hop radio networks with no collision detection

    K. Nakano;S. Olariu

  • An Efficient GPU Implementation of Ant Colony Optimization for the Traveling Salesman Problem

    Akihiro Uchida;Yasuaki Ito;Koji Nakano

  • Simple memory machine models for GPUs

    Koji Nakano

  • Accelerating the CKY Parsing Using FPGAs

    Jacir L. Bordim;Yasuaki Ito;Koji Nakano

  • Broadcast-efficient protocols for mobile radio networks

    K. Nakano;S. Olariu;J.L. Schwing

  • Randomized initialization protocols for packet radio networks

    T. Hayashi;K. Nakano;S. Olariu

  • A survey on leader election protocols for radio networks

    K. Nakano;S. Olariu

  • Accelerating the Dynamic Programming for the Matrix Chain Product on the GPU

    Kazufumi Nishida;Yasuaki Ito;Koji Nakano

  • Fast and Accurate Template Matching Using Pixel Rearrangement on the GPU

    Akihiro Uchida;Yasuaki Ito;Koji Nakano

  • Linear Layouts of Generalized Hypercubes

    Koji Nakano

  • Hardware n Choose k Counters with Applications to the Partial Exhaustive Search

    Koji Nakano;Youhei Yamagishi

  • A GPU Implementation of Computing Euclidean Distance Map with Efficient Memory Access

    Duhu Man;Kenji Uda;Yasuaki Ito;Koji Nakano

  • Energy-efficient initialization protocols for radio networks with no collision detection

    K. Nakano;S. Olariu

Frequent Co-Authors

Stephan Olariu
Stephan Olariu Old Dominion University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Oscar H. Ibarra
Oscar H. Ibarra University of California, Santa Barbara
Hideharu Amano
Hideharu Amano Keio University
Ivan Stojmenovic
Ivan Stojmenovic University of Ottawa
Yang Xiang
Yang Xiang Swinburne University of Technology
Hong Shen
Hong Shen Sun Yat-sen University
Guojun Wang
Guojun Wang Guangzhou University
Jie Wu
Jie Wu Temple University
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University

External Links

Personal website of Koji Nakano

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Best Scientists Citing Koji Nakano

Stephan Olariu

Stephan Olariu

Old Dominion University

Publications: 27

Andrzej Pelc

Andrzej Pelc

Université du Québec en Outaouais

Publications: 26

Viktor K. Prasanna

Viktor K. Prasanna

University of Southern California

Publications: 16

Dariusz R. Kowalski

Dariusz R. Kowalski

Augusta University

Publications: 11

Yi Pan

Yi Pan

Shenzhen Institutes of Advanced Technology

Publications: 11

Roger Wattenhofer

Roger Wattenhofer

ETH Zurich

Publications: 11

Jang-Ping Sheu

Jang-Ping Sheu

National Tsing Hua University

Publications: 8

Nancy Lynch

Nancy Lynch

MIT

Publications: 7

Seth Pettie

Seth Pettie

University of Michigan–Ann Arbor

Publications: 7

Thomas Moscibroda

Thomas Moscibroda

Microsoft (United States)

Publications: 6

Cauligi S. Raghavendra

Cauligi S. Raghavendra

University of Southern California

Publications: 6

Keqin Li

Keqin Li

State University of New York at New Paltz

Publications: 5

Hideharu Amano

Hideharu Amano

Keio University

Publications: 5

Ivan Stojmenovic

Ivan Stojmenovic

University of Ottawa

Publications: 5

Luca Benini

Luca Benini

ETH Zurich

Publications: 4

Albert Y. Zomaya

Albert Y. Zomaya

University of Sydney

Publications: 4

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