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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
8115
World Ranking
3108
National Ranking
111

Satoshi Kagami publication distribution in Electronics and Electrical Engineering in 2026

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 Satoshi Kagami sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 319 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Satoshi Kagami D-index placement in Electronics and Electrical Engineering in 2026

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 Satoshi Kagami sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 48 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Satoshi Kagami is affiliated with the National Institute of Advanced Industrial Science and Technology in Japan. Their research career is connected to this institution, contributing to the scientific community through their work there.

Though there is no detailed public record of recent papers, frequent co-authors, or specific venues where Kagami has regularly published, their association with a national research institute suggests involvement in advanced scientific projects and collaborations within Japan's industrial and technological research sectors.

No information on specific fields or subfields of study, main topics of work, or book publications is available for Kagami. Likewise, there are no recorded awards or notable recognitions associated with their name in the provided data.

The absence of detailed publication or topic data limits the ability to outline the exact scope of Kagami's scientific contributions but indicates the scientist's ongoing role within a significant Japanese research organization focused on advanced industrial science and technology development.

Best Publications

  • Dynamically-Stable Motion Planning for Humanoid Robots

    James J. Kuffner;Satoshi Kagami;Koichi Nishiwaki;Masayuki Inaba

  • Motion Planning for Humanoid Robots

    James Kuffner;James Kuffner;Koichi Nishiwaki;Satoshi Kagami;Masayuki Inaba

  • Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP

    K. Nishiwaki;S. Kagami;Y. Kuniyoshi;M. Inaba

  • Design and development of research platform for perception-action integration in humanoid robot: H6

    K. Nishiwaki;T. Sugihara;S. Kagami;F. Kanehiro

  • Planning Biped Navigation strategies in Complex Environments

    Joel Chestnutt;James Kuffner;Koichi Nishiwaki;Satoshi Kagami

  • Footstep planning among obstacles for biped robots

    J.J. Kuffner;K. Nishiwaki;S. Kagami;M. Inaba

  • Grasp planning in complex scenes

    D. Berenson;R. Diankov;K. Nishiwaki;S. Kagami

  • Plane segment finder: algorithm, implementation and applications

    K. Okada;S. Kagami;M. Inaba;H. Inoue

  • Motion planning for humanoid robots under obstacle and dynamic balance constraints

    J. Kuffner;K. Nishiwaki;S. Kagami;M. Inaba

  • A full-body tactile sensor suit using electrically conductive fabric and strings

    M. Inaba;Y. Hoshino;K. Nagasaka;T. Ninomiya

  • Toe joints that enhance bipedal and fullbody motion of humanoid robots

    K. Nishiwaki;S. Kagami;Y. Kuniyoshi;M. Inaba

  • Planning and executing navigation among movable obstacles

    Mike Stilman;Koichi Nishiwaki;Satoshi Kagami;James J. Kuffner

  • A Fast Dynamically Equilibrated Walking Trajectory Generation Method of Humanoid Robot

    Satoshi Kagami;Tomonobu Kitagawa;Koichi Nishiwaki;Tomomichi Sugihara

  • GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing

    P. Michel;J. Chestnut;S. Kagami;K. Nishiwaki

  • Online footstep planning for humanoid robots

    J. Kuffner;S. Kagami;K. Nishiwaki;M. Inaba

  • High frequency walking pattern generation based on preview control of ZMP

    K. Nishiwaki;S. Kagami

  • Self-collision detection and prevention for humanoid robots

    J. Kuffner;K. Nishiwaki;S. Kagami;Y. Kuniyoshi

  • Multiple Sound Source Mapping for a Mobile Robot by Self-motion Triangulation

    Yoko Sasaki;Satoshi Kagami;Hiroshi Mizoguchi

  • Online decision of foot placement using singular LQ preview regulation

    Junichi Urata;Koichi Nshiwaki;Yuto Nakanishi;Kei Okada

  • A probabilistic model of human motion and navigation intent for mobile robot path planning

    Simon Thompson;Takehiro Horiuchi;Satoshi Kagami

  • Design and implementation of software research platform for humanoid robotics: H6

    S. Kagami;K. Nishiwaki;T. Sugihara;J.J. Kuffner

Frequent Co-Authors

Koichi Nishiwaki
Koichi Nishiwaki National Institute of Advanced Industrial Science and Technology
Masayuki Inaba
Masayuki Inaba University of Tokyo
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Hirochika Inoue
Hirochika Inoue National Institute of Advanced Industrial Science and Technology
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Kei Okada
Kei Okada University of Tokyo
Yasuo Kuniyoshi
Yasuo Kuniyoshi University of Tokyo
Fumio Kanehiro
Fumio Kanehiro National Institute of Advanced Industrial Science and Technology
Shinji Uchiyama
Shinji Uchiyama Canon (Japan)
Takeo Igarashi
Takeo Igarashi University of Tokyo

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Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering opens many career doors, but complementing this with additional skills can enhance job prospects. For instance, a bachelor project management degree can equip students with leadership and organizational skills essential for managing complex engineering projects.

Many working professionals seek to advance their education without interrupting their careers. Accelerated online degree programs for working adults offer flexible, fast-track options ideal for engineers aiming to upskill efficiently.

For those interested in teaching or training roles within the engineering field, the best online master's for teaching provide foundational knowledge to design effective educational programs and training materials.

Additionally, competency-based learning is gaining traction as an effective way to demonstrate skills and knowledge. Completing a competency based masters degree can help professionals showcase specific engineering competencies, often accelerating career progression.

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