| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 67 | 1068 | 1018 | 27 | 26 | 286 | 19301 |
The chart shows the history of publications by Fumio Kanehiro between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fumio Kanehiro published across 32 years, from 1994 to 2025, averaging 9.8 papers a year. Output peaked at 26 publications in 2003. 22 of the 313 publications appeared in the last two years.
313 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1994 | 2 |
| 1995 | 2 |
| 1996 | 3 |
| 1997 | 1 |
| 1998 | 2 |
| 1999 | 2 |
| 2000 | 4 |
| 2001 | 8 |
| 2002 | 11 |
| 2003 | 26 |
| 2004 | 21 |
| 2005 | 18 |
| 2006 | 10 |
| 2007 | 15 |
| 2008 | 13 |
| 2009 | 11 |
| 2010 | 18 |
| 2011 | 13 |
| 2012 | 7 |
| 2013 | 8 |
| 2014 | 7 |
| 2015 | 6 |
| 2016 | 8 |
| 2017 | 7 |
| 2018 | 15 |
| 2019 | 13 |
| 2020 | 13 |
| 2021 | 8 |
| 2022 | 11 |
| 2023 | 8 |
| 2024 | 13 |
| 2025 | 9 |
| Total | 313 |
The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Fumio Kanehiro sits on this spectrum.
This scientist: 286 publications — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| Publications | Scientists | This scientist |
|---|---|---|
| 34–53 | 24 | |
| 54–73 | 52 | |
| 74–93 | 114 | |
| 94–113 | 203 | |
| 114–133 | 269 | |
| 134–153 | 355 | |
| 154–173 | 403 | |
| 174–193 | 445 | |
| 194–213 | 430 | |
| 214–233 | 431 | |
| 234–253 | 399 | |
| 254–273 | 366 | |
| 274–293 | 335 | 286 |
| 294–313 | 300 | |
| 314–333 | 276 | |
| 334–353 | 250 | |
| 354–373 | 214 | |
| 374–393 | 187 | |
| 394–413 | 152 | |
| 414–433 | 169 | |
| 434–453 | 147 | |
| 454–473 | 111 | |
| 474–493 | 117 | |
| 494–513 | 103 | |
| 514–533 | 99 | |
| 534–553 | 92 | |
| 554–573 | 75 | |
| 574–593 | 58 | |
| 594–613 | 69 | |
| 614–633 | 50 | |
| 634–653 | 62 | |
| 654–673 | 54 | |
| 674–693 | 44 | |
| 694–713 | 37 | |
| 714–733 | 28 | |
| 734–753 | 26 | |
| 754–773 | 26 | |
| 774–793 | 19 | |
| 794–813 | 23 | |
| 814–833 | 20 | |
| 834–853 | 16 | |
| 854–873 | 20 | |
| 874–893 | 11 | |
| 894–913 | 11 | |
| 914–933 | 16 | |
| 934–953 | 13 | |
| 954–973 | 10 | |
| 974–993 | 11 | |
| 994–1,013 | 9 | |
| 1,014–1,033 | 9 | |
| 1,034–1,053 | 10 | |
| 1,054–1,064 | 6 | |
| 1,065+ | 99 |
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Fumio Kanehiro sits on this spectrum.
This scientist: 67 D-Index — 85th percentile
85% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30 | 178 | |
| 31 | 257 | |
| 32 | 263 | |
| 33 | 262 | |
| 34 | 244 | |
| 35 | 236 | |
| 36 | 211 | |
| 37 | 220 | |
| 38 | 214 | |
| 39 | 214 | |
| 40 | 205 | |
| 41 | 187 | |
| 42 | 194 | |
| 43 | 201 | |
| 44 | 155 | |
| 45 | 189 | |
| 46 | 148 | |
| 47 | 160 | |
| 48 | 134 | |
| 49 | 130 | |
| 50 | 141 | |
| 51 | 156 | |
| 52 | 108 | |
| 53 | 130 | |
| 54 | 112 | |
| 55 | 97 | |
| 56 | 111 | |
| 57 | 102 | |
| 58 | 108 | |
| 59 | 120 | |
| 60 | 103 | |
| 61 | 93 | |
| 62 | 92 | |
| 63 | 74 | |
| 64 | 77 | |
| 65 | 73 | |
| 66 | 64 | |
| 67 | 69 | 67 |
| 68 | 60 | |
| 69 | 39 | |
| 70 | 57 | |
| 71 | 59 | |
| 72 | 46 | |
| 73 | 49 | |
| 74 | 38 | |
| 75 | 35 | |
| 76 | 32 | |
| 77 | 35 | |
| 78 | 31 | |
| 79 | 22 | |
| 80 | 34 | |
| 81 | 31 | |
| 82 | 34 | |
| 83 | 23 | |
| 84 | 18 | |
| 85 | 30 | |
| 86 | 19 | |
| 87 | 19 | |
| 88 | 20 | |
| 89 | 8 | |
| 90 | 17 | |
| 91 | 7 | |
| 92 | 14 | |
| 93 | 9 | |
| 94 | 15 | |
| 95 | 10 | |
| 96 | 12 | |
| 97 | 10 | |
| 98 | 10 | |
| 99 | 12 | |
| 100 | 16 | |
| 101 | 5 | |
| 102 | 7 | |
| 103 | 7 | |
| 104 | 8 | |
| 105 | 9 | |
| 106 | 13 | |
| 107 | 4 | |
| 108 | 5 | |
| 109 | 10 | |
| 110 | 8 | |
| 111+ | 96 |
Fumio Kanehiro is affiliated with the National Institute of Advanced Industrial Science and Technology in Japan. Their academic work predominantly spans the fields of Engineering and Computer Science, with a focus on several specialized subfields.
The scientist's research interests include:
Kanehiro has contributed to multiple research papers, including works published in prominent venues with significant citation counts. Notable papers include:
Their frequent coauthors include:
Kanehiro's publications are often found in journals and conference proceedings such as:
Their work covers technical themes linked to humanoid robot control, planning algorithms, and manipulation as reflected in both the subfields of study and the topics explored in their research publications.
S. Kajita;F. Kanehiro;K. Kaneko;K. Fujiwara
K. Kaneko;K. Harada;F. Kanehiro;G. Miyamori
S. Kajita;F. Kanehiro;K. Kaneko;K. Yokoi
K. Kaneko;F. Kanehiro;S. Kajita;H. Hirukawa
S. Kajita;F. Kanehiro;K. Kaneko;K. Fujiwara
S. Kajita;F. Kanehiro;K. Kaneko;K. Fujiwara
Shuuji Kajita;Mitsuharu Morisawa;Kanako Miura;Shin'ichiro Nakaoka
K. Kaneko;F. Kanehiro;S. Kajita;K. Yokoyama
Fumio Kanehiro;Hirohisa Hirukawa;Shuuji Kajita
K. Nishiwaki;T. Sugihara;S. Kagami;F. Kanehiro
Kenji Kaneko;Fumio Kanehiro;Mitsuharu Morisawa;Kanako Miura
S. Kajita;M. Morisawa;K. Harada;K. Kaneko
H. Hirukawa;S. Hattori;K. Harada;S. Kajita
Shuuji Kajita;Fumio Kanehiro;Kenji Kaneko;Kiyoshi Fujiwara
K. Akachi;K. Kaneko;N. Kanehira;S. Ota
Hirohisa Hirukawa;Fumio Kanehiro;Kenji Kaneko;Shuuji Kajita
K. Yokoyama;H. Handa;T. Isozumi;Y. Fukase
K. Harada;S. Kajita;F. Kanehiro;K. Fujiwara
Kenji Kaneko;Fumio Kanehiro;Mitsuharu Morisawa;Kazuhiko Akachi
Hirohisa Hirukawa;Fumio Kanehiro;Shuuji Kajita
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Additionally, competency based masters are gaining popularity as they emphasize mastering skills over traditional coursework. This approach suits engineers who want focused learning that directly applies to their career advancement.
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