World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8434
World Ranking
6081
National Ranking
113

Kei Okada 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 Kei Okada sits on this spectrum.

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 publications 804+

This scientist: 779 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Kei Okada 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 Kei Okada sits on this spectrum.

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.

Overview

Kei Okada is affiliated with the University of Tokyo in Japan. Their research spans a range of topics within engineering and computer science, focusing primarily on robotics and related fields. Okada has contributed extensively to the areas of biomedical engineering, control and systems engineering, computer vision and pattern recognition, mechanical engineering, and artificial intelligence.

The scientist's main fields of study include:

  • Engineering
  • Computer Science

Okada's subfields of study emphasize:

  • Biomedical Engineering
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering
  • Artificial Intelligence

Their research covers several core topics, notably:

  • Robotic Locomotion and Control
  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Modular Robots and Swarm Intelligence
  • Robotics and Automated Systems
  • Soft Robotics and Applications
  • Robotics and Sensor-Based Localization

Okada has published prolifically across a variety of respected venues. Frequent publication venues include:

  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Advanced Robotics
  • 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

Recent notable papers include:

  • "TrTr: Visual Tracking with Transformer," 2021, arXiv (Cornell University)
  • "Service robot introduction to a restaurant enhances both labor productivity and service quality," 2020, Procedia CIRP
  • "Bilateral Humanoid Teleoperation System Using Whole-Body Exoskeleton Cockpit TABLIS," 2020, IEEE Robotics and Automation Letters
  • "Versatile articulated aerial robot DRAGON: Aerial manipulation and grasping by vectorable thrust control," 2022, The International Journal of Robotics Research
  • "Musculoskeletal AutoEncoder: A Unified Online Acquisition Method of Intersensory Networks for State Estimation, Control, and Simulation of Musculoskeletal Humanoids," 2020, IEEE Robotics and Automation Letters

Frequent co-authors in Okada's research collaborations include:

  • Masayuki Inaba
  • Kento Kawaharazuka
  • Moju Zhao
  • Yuki Asano
  • Koji Kawasaki

Best Publications

  • Analysis and Observations From the First Amazon Picking Challenge

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Alignment of the ALICE Inner Tracking System with cosmic-ray tracks

    K. Aamodt;N. Abel;U. Abeysekara;A. Abrahantes Quintana

  • Home-Assistant Robot for an Aging Society

    K. Yamazaki;R. Ueda;S. Nozawa;M. Kojima

  • Design, Modeling, and Control of an Aerial Robot DRAGON: A Dual-Rotor-Embedded Multilink Robot With the Ability of Multi-Degree-of-Freedom Aerial Transformation

    Moju Zhao;Tomoki Anzai;Fan Shi;Xiangyu Chen

  • Plane segment finder: algorithm, implementation and applications

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

  • Humanoid motion generation system on HRP2-JSK for daily life environment

    K. Okada;T. Ogura;A. Haneda;J. Fujimoto

  • Design of high torque and high speed leg module for high power humanoid

    Junichi Urata;Yuto Nakanishi;Kei Okada;Masayuki Inaba

  • Development of life-sized high-power humanoid robot JAXON for real-world use

    Kunio Kojima;Tatsuhi Karasawa;Toyotaka Kozuki;Eisoku Kuroiwa

  • Online decision of foot placement using singular LQ preview regulation

    Junichi Urata;Koichi Nshiwaki;Yuto Nakanishi;Kei Okada

  • Vision based behavior verification system of humanoid robot for daily environment tasks

    Kei Okada;Mitsuharu Kojima;Yuichi Sagawa;Toshiyuki Ichino

  • Human mimetic musculoskeletal humanoid Kengoro toward real world physically interactive actions

    Yuki Asano;Toyotaka Kozuki;Soichi Ookubo;Masaya Kawamura

  • Design principles of a human mimetic humanoid: Humanoid platform to study human intelligence and internal body system

    Yuki Asano;Kei Okada;Masayuki Inaba

  • Design concept of detail musculoskeletal humanoid “Kenshiro” - Toward a real human body musculoskeletal simulator

    Yuto Nakanishi;Yuki Asano;Toyotaka Kozuki;Hironori Mizoguchi

  • Experience-based planning with sparse roadmap spanners

    David Coleman;Ioan A. Sucan;Mark Moll;Kei Okada

  • Service robot introduction to a restaurant enhances both labor productivity and service quality

    Unknown

  • Whole-body aerial manipulation by transformable multirotor with two-dimensional multilinks

    Moju Zhao;Koji Kawasaki;Xiangyu Chen;Shintaro Noda

  • Lessons from the Amazon Picking Challenge.

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Transformable multirotor with two-dimensional multilinks: Modeling, control, and whole-body aerial manipulation

    Unknown

  • Environment manipulation planner for humanoid robots using task graph that generates action sequence

    K. Okada;A. Haneda;H. Nakai;M. Inaba

  • Multi-cue 3D object recognition in knowledge-based vision-guided humanoid robot system

    K. Okada;M. Kojima;S. Tokutsu;T. Maki

  • TrTr: Visual Tracking with Transformer.

    Moju Zhao;Kei Okada;Masayuki Inaba

  • Online walking pattern generation for push recovery and minimum delay to commanded change of direction and speed

    Junichi Urata;Koichi Nshiwaki;Yuto Nakanishi;Kei Okada

Frequent Co-Authors

Masayuki Inaba
Masayuki Inaba University of Tokyo
Hirochika Inoue
Hirochika Inoue National Institute of Advanced Industrial Science and Technology
Satoshi Kagami
Satoshi Kagami National Institute of Advanced Industrial Science and Technology
Peter Braun-Munzinger
Peter Braun-Munzinger GSI Helmholtz Centre for Heavy Ion Research
Koichi Nishiwaki
Koichi Nishiwaki National Institute of Advanced Industrial Science and Technology
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Dieter Røhrich
Dieter Røhrich University of Bergen
C. Roy
C. Roy Centre national de la recherche scientifique, CNRS
Michael Beetz
Michael Beetz University of Bremen

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