World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
9910
World Ranking
3494
National Ranking
193

Fumiya Iida 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 Fumiya Iida 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: 211 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Fumiya Iida 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 Fumiya Iida 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: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Fumiya Iida is affiliated with the University of Cambridge in the United Kingdom. Their research focuses primarily on engineering, with a notable concentration on subfields such as biomedical engineering, mechanical engineering, control and systems engineering, cognitive neuroscience, and computer vision and pattern recognition.

The scientist's work centers around several key topics including soft robotics and applications, advanced sensor and energy harvesting materials, robot manipulation and learning, modular robots and swarm intelligence, tactile and sensory interactions, robotic locomotion and control, and reinforcement learning in robotics.

Fumiya Iida has published extensively, with notable frequent publication venues including:

  • IOP Conference Series Materials Science and Engineering
  • Frontiers in Robotics and AI
  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Science Robotics

Recent significant papers authored by or involving Fumiya Iida include:

  • "Electronic skins and machine learning for intelligent soft robots," 2020, Science Robotics
  • "A review on self-healing polymers for soft robotics," 2021, Materials Today
  • "Towards enduring autonomous robots via embodied energy," 2022, Nature
  • "Processing of Self-Healing Polymers for Soft Robotics," 2021, Advanced Materials
  • "Self-healing ionic gelatin/glycerol hydrogels for strain sensing applications," 2022, NPG Asia Materials

Fumiya Iida collaborates frequently with other researchers including Thomas George Thuruthel, Josie Hughes, Arsen Abdulali, Leone Costi, and David Hardman.

In addition to journal articles, they have contributed to academic books, with one publication with Springer Science+Business Media titled "Towards Autonomous Robotic Systems" published in 2023.

Best Publications

  • Self-Organization, Embodiment, and Biologically Inspired Robotics

    Rolf Pfeifer;Max Lungarella;Fumiya Iida;Fumiya Iida

  • Electronic skins and machine learning for intelligent soft robots

    Benjamin Shih;Dylan S. Shah;Jinxing Li;Thomas George Thuruthel

  • Soft manipulators and grippers: A review

    Josie Hughes;Utku Culha;Fabio Giardina;Fabian Guenther

  • The challenges ahead for bio-inspired 'soft' robotics

    Rolf Pfeifer;Max Lungarella;Fumiya Iida

  • Stable dynamic walking over uneven terrain

    Ian R Manchester;Uwe Mettin;Fumiya Iida;Russ Tedrake

  • Soft Robotics: Challenges and Perspectives

    Fumiya Iida;Cecilia Laschi

  • A review on self-healing polymers for soft robotics

    Seppe Terryn;Jakob Langenbach;Ellen Roels;Joost Brancart

  • Controllable and reversible tuning of material rigidity for robot applications

    Liyu Wang;Yang Yang;Yonghua Chen;Carmel Majidi

  • New Robotics: Design Principles for Intelligent Systems

    Rolf Pfeifer;Fumiya Iida;Josh Bongard

  • Bipedal walking and running with spring-like biarticular muscles.

    Fumiya Iida;Fumiya Iida;Jürgen Rummel;André Seyfarth

  • Morphological computation for adaptive behavior and cognition

    Rolf Pfeifer;Fumiya Iida;Gabriel Gómez

  • A field-tested robotic harvesting system for iceberg lettuce.

    Simon Birrell;Josephine Hughes;Julia Y Cai;Fumiya Iida

  • Processing of Self-Healing Polymers for Soft Robotics.

    Ellen Roels;Seppe Terryn;Fumiya Iida;Anton W. Bosman

  • Embodied Artificial Intelligence: Trends and Challenges

    Rolf Pfeifer;Fumiya Iida

  • Twitching in sensorimotor development from sleeping rats to robots.

    Mark S. Blumberg;Hugo Gravato Marques;Hugo Gravato Marques;Fumiya Iida

  • Cognition from the bottom up: on biological inspiration, body morphology, and soft materials

    Rolf Pfeifer;Fumiya Iida;Max Lungarella

  • Exploiting body dynamics for controlling a running quadruped robot

    F. Iida;G. Gomez;R. Pfeifer

  • Finding Resonance: Adaptive Frequency Oscillators for Dynamic Legged Locomotion

    Jonas Buchli;Fumiya Iida;Auke Ijspeert

  • Whole body emotion expressions for KOBIAN humanoid robot — preliminary experiments with different Emotional patterns —

    Massimiliano Zecca;Yu Mizoguchi;K. Endo;F. Iida

  • Morphological Evolution of Physical Robots through Model-Free Phenotype Development.

    Luzius Brodbeck;Simon Hauser;Fumiya Iida;Fumiya Iida

  • Embodied Artificial Intelligence

    Fumiya Iida;Rolf Pfeifer;Luc Steels;Yasuo Kuniyoshi

Frequent Co-Authors

Rolf Pfeifer
Rolf Pfeifer University of Zurich
Andre Seyfarth
Andre Seyfarth Technical University of Darmstadt
Cecilia Laschi
Cecilia Laschi National University of Singapore
Atsuo Takanishi
Atsuo Takanishi Waseda University
Josh Bongard
Josh Bongard University of Vermont
Yasuo Kuniyoshi
Yasuo Kuniyoshi University of Tokyo
Jonathan Rossiter
Jonathan Rossiter University of Bristol
Yong-Lae Park
Yong-Lae Park Seoul National University
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options alongside Electronics and Electrical Engineering can open doors to diverse career pathways. For instance, a master's in training and development online offers valuable skills in instructional design, beneficial for engineers seeking leadership roles or careers in technical education.

Competency-based learning is gaining popularity for its flexibility and recognition of prior knowledge. Institutions offering competency based universities allow students to progress at their own pace, which can be ideal for working professionals balancing education with career demands.

Military spouses and dependents often face unique challenges in accessing education. To support this community, many online programs are tailored specifically for them. Identifying online schools for military spouses helps provide accessible, flexible learning paths that accommodate frequent relocations and changing schedules.

For those eager to start without delay, numerous institutions offer rolling admissions or courses with frequent start times. Exploring online colleges starting soon enables prospective students to jump into their studies quickly, maintaining momentum in their career development.

Best Scientists Citing Fumiya Iida

Trending Scientists

Recently Published Articles