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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
73
Citations
25610
World Ranking
743
National Ranking
328

Daniel E. Koditschek 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 Daniel E. Koditschek 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: 348 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Daniel E. Koditschek 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 Daniel E. Koditschek 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: 73 D-Index — 89th percentile

89% 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

  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2004 - IEEE Fellow For contributions to the theory and practice of robotics and intelligent systems

Overview

Daniel E. Koditschek is affiliated with the University of Pennsylvania in the United States. Their research spans primarily engineering and computer science, with significant contributions in biomedical engineering, control and systems engineering, artificial intelligence, mechanical engineering, and computer vision and pattern recognition.

Their main topics of research include robotic locomotion and control, robotic path planning algorithms, modular robots and swarm intelligence, robot manipulation and learning, soft robotics and applications, prosthetics and rehabilitation robotics, and robotics and sensor-based localization.

They have authored several papers in notable publication venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, The International Journal of Robotics Research, IEEE Transactions on Robotics, and the Annual Review of Control Robotics and Autonomous Systems.

  • A Programmably Compliant Origami Mechanism for Dynamically Dexterous Robots, 2020, IEEE Robotics and Automation Letters
  • What Is Robotics? Why Do We Need It and How Can We Get It?, 2021, Annual Review of Control Robotics and Autonomous Systems
  • From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence, 2021, arXiv (Cornell University)
  • Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback, 2020, IEEE Robotics and Automation Letters
  • Tendon-Driven Auxetic Tubular Springs for Resilient Hopping Robots, 2021, Advanced Intelligent Systems

The frequent co-authors collaborating with Daniel E. Koditschek include Vasileios Vasilopoulos, Wei-Hsi Chen, Georgios Pavlakos, Kostas Daniilidis, and Feifei Qian.

Daniel E. Koditschek's publication record indicates a focus on advancing theoretical and practical aspects of robotics and intelligent systems.

In recognition of their contributions, they have received distinctions including Fellow of the American Association for the Advancement of Science (AAAS) in 2008 and IEEE Fellow in 2004, the latter awarded for contributions to the theory and practice of robotics and intelligent systems.

Best Publications

  • Exact robot navigation using artificial potential functions

    E. Rimon;D.E. Koditschek

  • RHex: A Simple and Highly Mobile Hexapod Robot:

    Uluc Saranli;Martin Buehler;Daniel E. Koditschek

  • Templates and anchors: neuromechanical hypotheses of legged locomotion on land.

    R. J. Full;D. E. Koditschek

  • Hybrid zero dynamics of planar biped walkers

    E.R. Westervelt;J.W. Grizzle;D.E. Koditschek

  • The Dynamics of Legged Locomotion: Models, Analyses, and Challenges

    Philip Holmes;Robert J. Full;Dan Koditschek;John Guckenheimer

  • Robot navigation functions on manifolds with boundary

    Daniel E Koditschek;Elon Rimon

  • Exact robot navigation by means of potential functions: Some topological considerations

    D. Koditschek

  • Sequential composition of dynamically dexterous robot behaviors

    Robert Raven Burridge;Daniel Koditschek

  • A Simply Stabilized Running Model

    R. M. Ghigliazza;R. Altendorfer;P. Holmes;D. Koditschek

  • RHex: A Biologically Inspired Hexapod Runner

    R. Altendorfer;N. Moore;H. Komsuoḡlu;M. Buehler

  • Biologically inspired climbing with a hexapedal robot

    Unknown

  • Biologically inspired climbing with a hexapedal robot

    M. J. Spenko;G. C. Haynes;J. A. Saunders;M. R. Cutkosky

  • Analysis of a simplified hopping robot

    Daniel E. Koditschek;Martin Bühler

  • The construction of analytic diffeomorphisms for exact robot navigation on star worlds

    Elon Rimon;Daniel E. Koditschek

  • Design Principles for a Family of Direct-Drive Legged Robots

    Gavin D. Kenneally;Avik De;Daniel E. Koditschek

  • Natural motion for robot arms

    Dan Koditschek

  • The Application of Total Energy as a Lyapunov Function for Mechanical Control Systems

    Daniel E Koditschek

  • Comparative experiments with a new adaptive controller for robot arms

    L.L. Whitcomb;A.A. Rizzi;D.E. Koditschek

  • Quantifying dynamic stability and maneuverability in legged locomotion.

    Robert J. Full;Timothy Kubow;John Schmitt;Philip Holmes

  • A brachiating robot controller

    J. Nakanishi;T. Fukuda;D.E. Koditschek

  • Analysis of a simplified hopping robot

    M. Buhler;D.E. Koditschek

Frequent Co-Authors

Robert J. Full
Robert J. Full University of California, Berkeley
Alfred A. Rizzi
Alfred A. Rizzi Boston Dynamics (United States)
Martin Buehler
Martin Buehler Boston Dynamics (United States)
Daniel I. Goldman
Daniel I. Goldman Georgia Institute of Technology
Louis L. Whitcomb
Louis L. Whitcomb Johns Hopkins University
Toshio Fukuda
Toshio Fukuda Nagoya University
Douglas J. Jerolmack
Douglas J. Jerolmack University of Pennsylvania
Pramod P. Khargonekar
Pramod P. Khargonekar University of California, Irvine
Philip Holmes
Philip Holmes Princeton University
Kumpati S. Narendra
Kumpati S. Narendra Yale University

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Related Online Degrees & Career Pathways

For those pursuing Electronics and Electrical Engineering in the USA, exploring flexible online education options can be highly beneficial. Many universities offer programs tailored to diverse needs, including online school for military spouses. These programs provide the convenience and support necessary for students balancing family commitments and education.

Flexible scheduling is another important factor, with several online colleges offering weekly start dates. This allows students to begin their studies without waiting for traditional semester timelines, making it easier to align education with personal and professional obligations.

In addition to full degree programs, short certificate programs that pay well are an excellent way to quickly gain specialized skills in fields related to electronics and electrical engineering. These intensive courses can boost employability and help professionals advance or transition their careers efficiently.

When considering career pathways, it's useful to evaluate options for different personality types. For example, many of the best careers for introverts in this field emphasize analytical work and problem-solving, offering high pay without the need for constant interpersonal interaction.

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