World's Best Scientists 2026 revealed!
Daniela Rus

Daniela Rus

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Best Female Scientists
2025
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Computer Science
USA
2026

D-Index & Metrics

Best Female Scientists

D-Index
138
Citations
69501
World Ranking
259
National Ranking
164

Computer Science

D-Index
139
Citations
71142
World Ranking
73
National Ranking
43

Electronics and Electrical Engineering

D-Index
138
Citations
70640
World Ranking
27
National Ranking
15

Daniela Rus 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 Daniela Rus 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: 446 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: 779 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Daniela Rus 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 Daniela Rus sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 138 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - Fellow of the American Academy of Arts and Sciences
  • 2015 - Member of the National Academy of Engineering For contributions to distributed robotic systems.
  • 2014 - ACM Fellow For contributions to robotics and sensor networks.
  • 2010 - IEEE Fellow For contributions to distributed and modular robotics
  • 2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of distributed robotics, agents, and sensor networks.
  • 2002 - Fellow of the MacArthur Foundation
  • 1998 - Fellow of Alfred P. Sloan Foundation

Overview

Daniela Rus is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering, and Automotive Engineering.

Their main topics of research work include:

  • Reinforcement Learning in Robotics
  • Soft Robotics and Applications
  • Autonomous Vehicle Technology and Safety
  • Robotic Path Planning Algorithms
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Modular Robots and Swarm Intelligence

Daniela Rus has a substantial academic publication record with many papers appearing in frequent venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • International Conference on Robotics and Automation (ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Some of their recent significant papers include:

  • "Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges," 2023, IEEE Control Systems
  • "Model-based dynamic feedback control of a planar soft robot: trajectory tracking and interaction with the environment," 2020, The International Journal of Robotics Research
  • "Neural circuit policies enabling auditable autonomy," 2020, Nature Machine Intelligence
  • "Liquid Time-constant Networks," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "On an Improved State Parametrization for Soft Robots With Piecewise Constant Curvature and Its Use in Model Based Control," 2020, IEEE Robotics and Automation Letters

Frequent co-authors collaborating with Daniela Rus include:

  • Ramin Hasani
  • Alexander Amini
  • Sertaç Karaman
  • Mathias Lechner
  • Cosimo Della Santina

Throughout their career, Daniela Rus has received multiple awards and fellowships from various scientific and professional organizations, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • Fellow of the American Academy of Arts and Sciences, 2017
  • Member of the National Academy of Engineering, 2015, for contributions to distributed robotic systems
  • ACM Fellow, 2014, for contributions to robotics and sensor networks
  • IEEE Fellow, 2010, for contributions to distributed and modular robotics
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2009, for significant contributions to distributed robotics, agents, and sensor networks
  • Fellow of the MacArthur Foundation, 2002
  • Fellow of Alfred P. Sloan Foundation, 1998

Best Publications

  • Design, fabrication and control of soft robots

    Daniela L. Rus;Michael T. Tolley

  • Robust distributed network localization with noisy range measurements

    David Moore;John Leonard;Daniela Rus;Seth Teller

  • On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment

    Javier Alonso-Mora;Samitha Samaranayake;Alex Wallar;Emilio Frazzoli

  • Artificial Intelligence in Surgery: Promises and Perils

    Daniel A. Hashimoto;Guy Rosman;Daniela Rus;Ozanan R. Meireles

  • Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

    M. Yim;Wei-Min Shen;B. Salemi;D. Rus

  • Global clock synchronization in sensor networks

    Qun Li;D. Rus

  • A method for building self-folding machines

    S. Felton;M. Tolley;E. Demaine;D. Rus

  • Autonomous Soft Robotic Fish Capable of Escape Maneuvers Using Fluidic Elastomer Actuators.

    Andrew D. Marchese;Cagdas D. Onal;Daniela Rus

  • Planning and Decision-Making for Autonomous Vehicles

    Wilko Schwarting;Javier Alonso-Mora;Daniela Rus

  • Data collection, storage, and retrieval with an underwater sensor network

    I. Vasilescu;K. Kotay;D. Rus;M. Dunbabin

  • Exploration of underwater life with an acoustically controlled soft robotic fish

    Robert Kevin Katzschmann;Joseph Jeff DelPreto;Robert MacCurdy;Daniela L Rus

  • Programmable matter by folding

    E. Hawkes;B. An;N. M. Benbernou;H. Tanaka

  • Meshworm: A Peristaltic Soft Robot With Antagonistic Nickel Titanium Coil Actuators

    Sangok Seok;Cagdas Denizel Onal;Kyu-Jin Cho;Robert J. Wood

  • Fluid-driven origami-inspired artificial muscles

    Shuguang Li;Shuguang Li;Shuguang Li;Daniel M. Vogt;Daniel M. Vogt;Daniela Rus;Robert J. Wood;Robert J. Wood

  • A Recipe for Soft Fluidic Elastomer Robots

    Andrew Dominic Marchese;Robert Kevin Katzschmann;Daniela L Rus

  • Online power-aware routing in wireless Ad-hoc networks

    Qun Li;Javed Aslam;Daniela Rus

  • Perception, Planning, Control, and Coordination for Autonomous Vehicles

    Scott Drew Pendleton;Hans Andersen;Xinxin Du;Xiaotong Shen

  • Design, fabrication and control of origami robots

    Daniela Rus;Michael T. Tolley

  • Tracking a moving object with a binary sensor network

    Javed Aslam;Zack Butler;Florin Constantin;Valentino Crespi

  • Decentralized, Adaptive Coverage Control for Networked Robots

    Mac Schwager;Daniela Rus;Jean-Jacques Slotine

  • LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

    Tixiao Shan;Brendan Englot;Carlo Ratti;Daniela Rus

  • Modular Self-Reconfigurable Robot Systems

    Mark Yim;Wei-Min Shen;Behnam Salemi;Daniela Rus

Frequent Co-Authors

Mac Schwager
Mac Schwager Stanford University
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Javier Alonso-Mora
Javier Alonso-Mora Delft University of Technology
Peter Corke
Peter Corke Queensland University of Technology
Javed A. Aslam
Javed A. Aslam Northeastern University
David Kotz
David Kotz Dartmouth College
Bruce R. Donald
Bruce R. Donald Duke University
Stephen L. Smith
Stephen L. Smith University of Guelph

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