World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
79
Citations
27317
World Ranking
561
National Ranking
193

Ronald S. Fearing 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 Ronald S. Fearing 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: 245 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Ronald S. Fearing 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 Ronald S. Fearing 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: 79 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Ronald S. Fearing is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Engineering, with a focus on several subfields including Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Artificial Intelligence, and Ecology.

The scientist's work covers various specialized topics, such as:

  • Soft Robotics and Applications
  • Robotic Locomotion and Control
  • Modular Robots and Swarm Intelligence
  • Prosthetics and Rehabilitation Robotics
  • Micro and Nano Robotics
  • Biomimetic flight and propulsion mechanisms
  • AI-based Problem Solving and Planning

Key recent publications by Ronald S. Fearing include:

  • Precision Robotic Leaping and Landing Using Stance-Phase Balance, 2020, IEEE Robotics and Automation Letters
  • Automatic modeling and fault diagnosis of car production lines based on first-principle qualitative mechanics and semantic web technology, 2021, Advanced Engineering Informatics
  • Designing Dynamic Machines With Large-Scale Root Finding, 2020, IEEE Transactions on Robotics
  • Monopedal robot branch-to-branch leaping and landing inspired by squirrel balance control, 2025, Science Robotics
  • The Robustness of Tether Friction in Non-Idealized Terrains, 2022, IEEE Robotics and Automation Letters

Frequent co-authors who have collaborated extensively with Ronald S. Fearing include:

  • Chen Dai
  • Ezequiel Goldschmidt
  • Yifan You
  • Justin K. Yim
  • Eric K. Wang

Regular publication venues for their research are:

  • IEEE Robotics and Automation Letters
  • arXiv (Cornell University)
  • Advanced Materials Technologies
  • Advanced Engineering Informatics
  • Science Robotics

Best Publications

  • Adhesive force of a single gecko foot-hair

    Kellar Autumn;Yiching A. Liang;S. Tonia Hsieh;Wolfgang Zesch

  • Evidence for van der Waals adhesion in gecko setae

    Kellar Autumn;Metin Sitti;Yiching A. Liang;Anne M. Peattie

  • Nanowire active-matrix circuitry for low-voltage macroscale artificial skin

    Kuniharu Takei;Toshitake Takahashi;Toshitake Takahashi;Johnny C. Ho;Johnny C. Ho;Hyunhyub Ko

  • Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

    Anusha Nagabandi;Gregory Kahn;Ronald S. Fearing;Sergey Levine

  • Synthetic gecko foot-hair micro/nano-structures as dry adhesives

    Metin Sitti;Ronald S. Fearing

  • Survey of sticking effects for micro parts handling

    R.S. Fearing

  • Wearable Microfluidic Diaphragm Pressure Sensor for Health and Tactile Touch Monitoring

    Yuji Gao;Hiroki Ota;Hiroki Ota;Ethan W. Schaler;Kevin Chen;Kevin Chen

  • Optically- and thermally-responsive programmable materials based on carbon nanotube-hydrogel polymer composites

    Xiaobo Zhang;Xiaobo Zhang;Cary L. Pint;Cary L. Pint;Min Hyung Lee;Min Hyung Lee;Bryan Edward Schubert;Bryan Edward Schubert

  • Microrobot Design Using Fiber Reinforced Composites

    R. J. Wood;S. Avadhanula;R. Sahai;E. Steltz

  • Insect-scale fast moving and ultrarobust soft robot

    Yichuan Wu;Yichuan Wu;Justin K. Yim;Jiaming Liang;Jiaming Liang;Zhichun Shao

  • Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

    Anusha Nagabandi;Ignasi Clavera;Simin Liu;Ronald S. Fearing

  • Photoactuators and motors based on carbon nanotubes with selective chirality distributions

    Xiaobo Zhang;Zhibin Yu;Chuan Wang;David Zarrouk

  • Robotic vertical jumping agility via series-elastic power modulation

    Duncan W. Haldane;M. M. Plecnik;J. K. Yim;R. S. Fearing

  • Effective elastic modulus of isolated gecko setal arrays

    K Autumn;C Majidi;R E Groff;A Dittmore

  • DASH: A dynamic 16g hexapedal robot

    P. Birkmeyer;K. Peterson;R. S. Fearing

  • Tactile sensing mechanisms

    R. S. Fearing

  • Carbon Nanotube Active-Matrix Backplanes for Conformal Electronics and Sensors

    Toshitake Takahashi;Kuniharu Takei;Andrew G Gillies;Ronald S Fearing

  • Wing transmission for a micromechanical flying insect

    R.S. Fearing;K.H. Chiang;M.H. Dickinson;D.L. Pick

  • Optimal energy density piezoelectric bending actuators

    R.J. Wood;E. Steltz;R.S. Fearing

  • Proceedings - IEEE International Conference on Robotics and Automation

    Ranjana Sahai;Srinath Avadhanula;Richard E Groff;Erik Steltz

  • Towards a 3g crawling robot through the integration of microrobot technologies

    R. Sahai;S. Avadhanula;R. Groff;E. Steltz

Frequent Co-Authors

Robert J. Full
Robert J. Full University of California, Berkeley
Robert J. Wood
Robert J. Wood Harvard University
Ali Javey
Ali Javey University of California, Berkeley
Carmel Majidi
Carmel Majidi Carnegie Mellon University
Metin Sitti
Metin Sitti Max Planck Institute for Intelligent Systems
Sergey Levine
Sergey Levine University of California, Berkeley
Kuniharu Takei
Kuniharu Takei Osaka Metropolitan University
Roya Maboudian
Roya Maboudian University of California, Berkeley
Hyunhyub Ko
Hyunhyub Ko Ulsan National Institute of Science and Technology
Daniel I. Goldman
Daniel I. Goldman Georgia Institute of Technology

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