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Shinji Sakamoto

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 32 1001 997 5 5 222 3058
Computer Science 33 12814 12440 208 199 246 3297

Shinji Sakamoto publications per year

The chart shows the history of publications by Shinji Sakamoto between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shinji Sakamoto published across 37 years, from 1989 to 2025, averaging 7.9 papers a year. Output peaked at 29 publications in 2015. 30 of the 291 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2015. 1989: 2 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 1 publication 1997: 1 publication 1998: 4 publications 1999: 2 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 2 publications 2005: 2 publications 2006: 1 publication 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 1 publication 2012: 1 publication 2013: 22 publications 2014: 26 publications 2015: 29 publications 2016: 27 publications 2017: 22 publications 2018: 17 publications 2019: 21 publications 2020: 20 publications 2021: 21 publications 2022: 21 publications 2023: 16 publications 2024: 15 publications 2025: 15 publications
1989 2025

291 publications in total across all disciplines

View publications per year as a table
Shinji Sakamoto: publications per year, 1989 to 2025
Year Publications
1989 2
1990 0
1991 0
1992 1
1993 0
1994 0
1995 1
1996 1
1997 1
1998 4
1999 2
2000 0
2001 0
2002 0
2003 0
2004 2
2005 2
2006 1
2007 0
2008 0
2009 0
2010 0
2011 1
2012 1
2013 22
2014 26
2015 29
2016 27
2017 22
2018 17
2019 21
2020 20
2021 21
2022 21
2023 16
2024 15
2025 15
Total 291
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Shinji Sakamoto 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 Shinji Sakamoto 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, 242–251 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: 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.

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
242–251 408 246
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

Shinji Sakamoto 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 Shinji Sakamoto 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, 32–33 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: 33 D-Index — 13th percentile

13% 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 33
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
Download as CSV

Overview

Shinji Sakamoto is affiliated with the Kanazawa Institute of Technology in Japan. Their research primarily focuses on computer science and engineering, with specific emphasis on computer networks and communications along with electrical and electronic engineering. Subfields also include computer vision and pattern recognition, aerospace engineering, and artificial intelligence.

Their work extensively covers topics such as mobile ad hoc networks, vehicular ad hoc networks (VANETs), opportunistic and delay-tolerant networks, cooperative communication and network coding, wireless networks and protocols, energy-efficient wireless sensor networks, and caching and content delivery.

Frequent co-authors collaborating with Sakamoto include:

  • Leonard Barolli
  • Admir Barolli
  • Makoto Takizawa
  • Shusuke Okamoto
  • Phudit Ampririt

Sakamoto has contributed to several scholarly publications, often appearing in certain venues repeatedly. Common publication venues feature:

  • International Journal of Web and Grid Services
  • International Journal of Distributed Systems and Technologies
  • Internet of Things
  • Journal of Ambient Intelligence and Humanized Computing
  • Journal of High Speed Networks

Recent selected papers authored or co-authored by Sakamoto include:

  • "A hybrid intelligent system for wireless mesh networks: assessment of implemented system for two instances and three router replacement methods using Vmax parameter", 2023, International Journal of Web and Grid Services
  • "A comparison study of Weibull, normal and Boulevard distributions for wireless mesh networks considering different router replacement methods by a hybrid intelligent simulation system", 2022, Journal of Ambient Intelligence and Humanized Computing
  • "Implementation of roulette wheel and random selection methods in a hybrid intelligent system: A comparison study for two Islands and Subway distributions considering different router replacement methods", 2022, Applied Soft Computing
  • "WMN-PSODGA hybrid intelligent simulation system and its web GUI tool: performance evaluation considering different parameters of genetic algorithm", 2022, International Journal of Web and Grid Services
  • "A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system", 2021, Journal of High Speed Networks

Best Publications

  • Trustworthiness in P2P: performance behaviour of two fuzzy-based systems for JXTA-overlay platform

    Evjola Spaho;Shinji Sakamoto;Leonard Barolli;Fatos Xhafa

  • A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks

    Donald Elmazi;Elis Kulla;Tetsuya Oda;Evjola Spaho

  • Implementation of Intelligent Hybrid Systems for Node Placement Problem in WMNs Considering Particle Swarm Optimization, Hill Climbing and Simulated Annealing

    Shinji Sakamoto;Kosuke Ozera;Makoto Ikeda;Leonard Barolli

  • A comparison study of Hill Climbing, Simulated Annealing and Genetic Algorithm for node placement problem in WMNs

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

  • A genetic algorithm-based system for wireless mesh networks: analysis of system data considering different routing protocols and architectures

    Tetsuya Oda;Donald Elmazi;Admir Barolli;Shinji Sakamoto

  • Performance evaluation of a QoS-aware fuzzy-based CAC for LAN access

    Takaaki Inaba;Ryoichiro Obukata;Shinji Sakamoto;Tetsuya Oda

  • An Integrated System for Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic

    Takaaki Inaba;Shinji Sakamoto;Elis Kulla;Santi Caballe

  • A Fuzzy-Based CAC Scheme for Cellular Networks Considering Security

    Vladi Kolici;Takaaki Inaba;Algenti Lala;Gjergji Mino

  • FACS-MP: A fuzzy admission control system with many priorities for wireless cellular networks and its performance evaluation

    Keita Matsuo;Donald Elmazi;Yi Liu;Shinji Sakamoto

  • A comparison study for two fuzzy-based systems: improving reliability and security of JXTA-overlay P2P platform

    Yi Liu;Shinji Sakamoto;Keita Matsuo;Makoto Ikeda

  • Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for different replacement methods

    Shinji Sakamoto;Kosuke Ozera;Admir Barolli;Makoto Ikeda

  • FBMIS: A Fuzzy-Based Multi-interface System for Cellular and Ad Hoc Networks

    Elis Kulla;Gjergji Mino;Shinji Sakamoto;Makoto Ikeda

  • Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation

    Shinji Sakamoto;Tetsuya Oda;Makoto Ikeda;Leonard Barolli

  • Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks

    Shinji Sakamoto;Tetsuya Oda;Makoto Ikeda;Leonard Barolli

  • A Secure-Aware Call Admission Control Scheme for Wireless Cellular Networks Using Fuzzy Logic and Its Performance Evaluation.

    Takaaki Inaba;Donald Elmazi;Shinji Sakamoto;Tetsuya Oda

  • A comparison study of simulated annealing and genetic algorithm for node placement problem in wireless mesh networks

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

  • Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic Algorithm

    Admir Barolli;Shinji Sakamoto;Kosuke Ozera;Leonard Barolli

  • A multi-modal simulation system for wireless sensor networks: a comparison study considering stationary and mobile sink and event

    Keita Matsuo;Donald Elmazi;Yi Liu;Shinji Sakamoto

  • A Testbed for Admission Control in WLAN: A Fuzzy Approach and Its Performance Evaluation

    Takaaki Inaba;Shinji Sakamoto;Tetsuya Oda;Makoto Ikeda

  • Performance Evaluation Considering Iterations per Phase and SA Temperature in WMN-SA System

    Shinji Sakamoto;Elis Kulla;Tetsuya Oda;Makoto Ikeda

Frequent Co-Authors

Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Makoto Ikeda
Makoto Ikeda Fukuoka Institute of Technology
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Makoto Takizawa
Makoto Takizawa Hosei University

External Links

Personal website of Shinji Sakamoto

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Best Scientists Citing Shinji Sakamoto

Leonard Barolli

Leonard Barolli

Fukuoka Institute of Technology

Publications: 180

Makoto Ikeda

Makoto Ikeda

Fukuoka Institute of Technology

Publications: 79

Makoto Takizawa

Makoto Takizawa

Hosei University

Publications: 51

Fatos Xhafa

Fatos Xhafa

Universitat Politècnica de Catalunya

Publications: 18

Sergio Toral

Sergio Toral

University of Seville

Publications: 5

Biswajeet Pradhan

Biswajeet Pradhan

University of Technology Sydney

Publications: 2

Vincenzo Loia

Vincenzo Loia

University of Salerno

Publications: 2

Javier Del Ser

Javier Del Ser

University of the Basque Country

Publications: 2

Mauro Conti

Mauro Conti

University of Padua

Publications: 2

Elhadi M. Shakshuki

Elhadi M. Shakshuki

Acadia University

Publications: 2

Giovanni Pau

Giovanni Pau

University of California, Los Angeles

Publications: 1

Martin Reisslein

Martin Reisslein

Arizona State University

Publications: 1

Eklas Hossain

Eklas Hossain

Boise State University

Publications: 1

Claus Pahl

Claus Pahl

Free University of Bozen-Bolzano

Publications: 1

Mohd Javaid

Mohd Javaid

Jamia Millia Islamia

Publications: 1

Richard Demo Souza

Richard Demo Souza

Universidade Federal de Santa Catarina

Publications: 1

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