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Yuya Kajikawa

Yuya Kajikawa

University of Tokyo
Japan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 43 6127 5908 120 117 202 7778

Yuya Kajikawa publications per year

The chart shows the history of publications by Yuya Kajikawa between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yuya Kajikawa published across 25 years, from 2002 to 2026, averaging 9.6 papers a year. Output peaked at 20 publications in 2010. 7 of the 240 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2010. 2002: 5 publications 2003: 3 publications 2004: 6 publications 2005: 3 publications 2006: 5 publications 2007: 4 publications 2008: 13 publications 2009: 16 publications 2010: 20 publications 2011: 18 publications 2012: 20 publications 2013: 11 publications 2014: 12 publications 2015: 9 publications 2016: 14 publications 2017: 16 publications 2018: 12 publications 2019: 3 publications 2020: 6 publications 2021: 12 publications 2022: 11 publications 2023: 4 publications 2024: 10 publications 2025: 6 publications 2026: 1 publication
2002 2026

240 publications in total across all disciplines

View publications per year as a table
Yuya Kajikawa: publications per year, 2002 to 2026
Year Publications
2002 5
2003 3
2004 6
2005 3
2006 5
2007 4
2008 13
2009 16
2010 20
2011 18
2012 20
2013 11
2014 12
2015 9
2016 14
2017 16
2018 12
2019 3
2020 6
2021 12
2022 11
2023 4
2024 10
2025 6
2026 1
Total 240
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Yuya Kajikawa publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yuya Kajikawa sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 198–207 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 202 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403 202
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Yuya Kajikawa D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yuya Kajikawa sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 43 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380 43
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

Yuya Kajikawa is affiliated with the Tokyo Institute of Technology in Japan and specializes in fields related to Business, Management, and Accounting. Their research work primarily focuses on the subfields of Strategy and Management, Economics and Econometrics, Management Information Systems, Management of Technology and Innovation, and Electrical and Electronic Engineering.

The main topics covered in Kajikawa's research include Innovation and Knowledge Management, Big Data and Business Intelligence, Energy, Environment, Economic Growth, scientometrics and bibliometrics research, Sustainable Supply Chain Management, Innovation Diffusion and Forecasting, and Digital Platforms and Economics.

Frequent publication venues for Kajikawa's work consist of Frontiers in Research Metrics and Analytics, Sustainability Science, Sustainability, Technological Forecasting and Social Change, and PLoS ONE.

Recent papers authored or co-authored by Yuya Kajikawa include:

  • Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis (2021, Frontiers in Research Metrics and Analytics)
  • How do we effectively communicate air pollution to change public attitudes and behaviours? A review (2021, Sustainability Science)
  • Emerging topics in energy storage based on a large-scale analysis of academic articles and patents (2020, Applied Energy)
  • Recycling of Plastic Waste: A Systematic Review Using Bibliometric Analysis (2022, Sustainability)
  • Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle (2021, Technological Forecasting and Social Change)

Yuya Kajikawa collaborates frequently with several researchers, including Cristian Mejía, Ranjit Gupta, Yi Zhang, Yogesh B. Gianchandani, and Yousif Elsamani.

Best Publications

  • A review of the ecosystem concept — Towards coherent ecosystem design

    Masaharu Tsujimoto;Yuya Kajikawa;Junichi Tomita;Yoichi Matsumoto

  • Research core and framework of sustainability science

    Yuya Kajikawa

  • Detecting emerging research fronts based on topological measures in citation networks of scientific publications

    Naoki Shibata;Yuya Kajikawa;Yoshiyuki Takeda;Katsumori Matsushima

  • Creating an academic landscape of sustainability science: an analysis of the citation network

    Yuya Kajikawa;Junko Ohno;Yoshiyuki Takeda;Katsumori Matsushima

  • Tracking emerging technologies in energy research : toward a roadmap for sustainable energy

    Yuya Kajikawa;Junta Yoshikawa;Yoshiyuki Takeda;Katsumori Matsushima

  • Toward a consensus map of science

    Richard Klavans;Kevin W. Boyack

  • Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis.

    Cristian Mejia;Mengjia Wu;Yi Zhang;Yuya Kajikawa

  • Comparative study on methods of detecting research fronts using different types of citation

    Naoki Shibata;Yuya Kajikawa;Yoshiyuki Takeda;Katsumori Matsushima

  • Comparative study on methods of detecting research fronts using different types of citation

    Unknown

  • Extracting the commercialization gap between science and technology — Case study of a solar cell

    Naoki Shibata;Yuya Kajikawa;Ichiro Sakata

  • Texture development of non-epitaxial polycrystalline ZnO films

    Yuya Kajikawa

  • Detecting emerging research fronts in regenerative medicine by citation network analysis of scientific publications

    Naoki Shibata;Yuya Kajikawa;Yoshiyuki Takeda;Ichiro Sakata

  • Comprehensive perspective on the mechanism of preferred orientation in reactive-sputter-deposited nitrides

    Yuya Kajikawa;Suguru Noda;Hiroshi Komiyama

  • An analysis of geographical agglomeration and modularized industrial networks in a regional cluster: A case study at Yamagata prefecture in Japan

    Yoshiyuki Takeda;Yuya Kajikawa;Ichiro Sakata;Katsumori Matsushima

  • Link prediction in citation networks

    Naoki Shibata;Yuya Kajikawa;Ichiro Sakata

  • Citation network analysis of organic LEDs

    Yuya Kajikawa;Yoshiyuki Takeda

  • Detecting emerging research fronts in regenerative medicine by the citation network analysis of scientific publications

    Naoki Shibata;Yuya Kajikawa;Yoshiyuki Takeda;Ichiro Sakata

  • Business, innovation and digital ecosystems landscape survey and knowledge cross sharing

    Ranjit Gupta;Cristian Mejia;Yuya Kajikawa

  • Structure of research on biomass and bio-fuels: A citation-based approach

    Yuya Kajikawa;Yoshiyuki Takeda

  • Topological analysis of citation networks to discover the future core articles

    Naoki Shibata;Yuya Kajikawa;Katsumori Matsushima

  • Analysis of building environment assessment frameworks and their implications for sustainability indicators

    Yuya Kajikawa;Toshihiro Inoue;Thong Ngee Goh

  • Machine learning approach for finding business partners and building reciprocal relationships

    Junichiro Mori;Yuya Kajikawa;Hisashi Kashima;Ichiro Sakata

  • Multiscale analysis of interfirm networks in regional clusters

    Yuya Kajikawa;Yoshiyuki Takeda;Ichiro Sakata;Katsumori Matsushima

Frequent Co-Authors

Suguru Noda
Suguru Noda Waseda University
Li Xu
Li Xu Tsinghua University
Makoto Ando
Makoto Ando Keio University
Hisashi Kashima
Hisashi Kashima Kyoto University
Kazuhiko Takeuchi
Kazuhiko Takeuchi University of Tokyo
Patricia Gober
Patricia Gober Arizona State University
Yogesh B. Gianchandani
Yogesh B. Gianchandani University of Michigan–Ann Arbor
James S. Famiglietti
James S. Famiglietti University of Saskatchewan
Audrey de Nazelle
Audrey de Nazelle Imperial College London
Fei Chen
Fei Chen National Center for Atmospheric Research

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