World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5647
World Ranking
8074
National Ranking
2234

Odest Chadwicke Jenkins 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 Odest Chadwicke Jenkins 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: 180 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Odest Chadwicke Jenkins 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 Odest Chadwicke Jenkins 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2021 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the field of human-robot interaction and extensive service in broadening participation in artificial intelligence.
  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - ACM Senior Member
  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Odest Chadwicke Jenkins is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on robotics and artificial intelligence.

The primary fields of study for Jenkins include Computer Science and Engineering. Their work extends deeply into subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering, and Computational Mechanics.

The main research topics covered by Jenkins involve:

  • Robotics and Sensor-Based Localization
  • Robot Manipulation and Learning
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • AI-based Problem Solving and Planning
  • Reinforcement Learning in Robotics

Jenkins has published extensively, contributing to a variety of venues. Frequent venues include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • Robotics and Autonomous Systems

Some recent publications by Jenkins are:

  • "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation," 2022, arXiv (Cornell University)
  • "LIT: Light-field Inference of Transparency for Refractive Object Localization," 2020, IEEE Robotics and Automation Letters
  • "ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception," 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "GeoFusion: Geometric Consistency Informed Scene Estimation in Dense Clutter," 2020, IEEE Robotics and Automation Letters
  • "Probabilistic Inference in Planning for Partially Observable Long Horizon Problems," 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Jenkins has collaborated frequently with several coauthors, including:

  • Anthony W. Opipari
  • Jana Pavlasek
  • Zhen Zeng
  • Alphonsus Adu-Bredu
  • Nikhil Devraj

Awards and honors Jenkins has received include:

  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2021, for significant contributions to human-robot interaction and service in broadening participation in artificial intelligence
  • Fellow of the American Association for the Advancement of Science (AAAS), 2019
  • ACM Senior Member, 2017
  • Fellow of Alfred P. Sloan Foundation, 2009

Best Publications

  • Automated Derivation of Primitives for Movement Classification

    Ajo Fod;Maja J. Matarić;Odest Chadwicke Jenkins

  • A spatio-temporal extension to Isomap nonlinear dimension reduction

    Odest Chadwicke Jenkins;Maja J. Matarić

  • Rosbridge: ROS for non-ROS users

    Christopher Crick;Graylin Jay;Sarah Osentoski;Benjamin Pitzer

  • Deriving action and behavior primitives from human motion data

    O.C. Jenkins;M.J. Mataric

  • The oz of wizard: simulating the human for interaction research

    Aaron Steinfeld;Odest Chadwicke Jenkins;Brian Scassellati

  • Estimation of human core temperature from sequential heart rate observations.

    Mark J Buller;Mark J Buller;William J Tharion;Samuel N Cheuvront;Scott J Montain

  • Motion capture from inertial sensing for untethered humanoid teleoperation

    N. Miller;O.C. Jenkins;M. Kallmann;M.J. Mataric

  • Physical simulation for probabilistic motion tracking

    M. Vondrak;L. Sigal;O.C. Jenkins

  • Dogged Learning for Robots

    D.H. Grollman;O.C. Jenkins

  • System and Method for Cooperative Remote Vehicle Behavior

    Christopher Vernon Jones;Odest Chadwicke Jenkins;Matthew M. Loper

  • Automated derivation of behavior vocabularies for autonomous humanoid motion

    Odest Chadwicke Jenkins;Maja J. Mataric

  • Markerless kinematic model and motion capture from volume sequences

    Chi-Wei Chun;O.C. Jenkins;M.J. Mataric

  • Interactive Task Learning

    John E. Laird;Kevin Gluck;John Anderson;Kenneth D. Forbus

  • PERFORMANCE-DERIVED BEHAVIOR VOCABULARIES: DATA-DRIVEN ACQUISITION OF SKILLS FROM MOTION

    Odest Chadwicke Jenkins;Maja J. Matarić

  • Incremental learning of subtasks from unsegmented demonstration

    Daniel H Grollman;Odest Chadwicke Jenkins

  • Robot Web Tools: Efficient messaging for cloud robotics

    Russell Toris;Julius Kammerl;David V. Lu;Jihoon Lee

  • Primitive-Based Movement Classification for Humanoid Imitation

    Odest C. Jenkins;Maja J. Matarić;Stefan Weber

  • Creating Games: Mechanics, Content, and Technology

    Morgan McGuire;Odest Chadwicke Jenkins

  • Human and robot perception in large-scale learning from demonstration

    Christopher Crick;Sarah Osentoski;Graylin Jay;Odest Chadwicke Jenkins

  • Learning Behavior Trees From Demonstration

    Kevin French;Shiyu Wu;Tianyang Pan;Zheming Zhou

  • Sparse incremental learning for interactive robot control policy estimation

    D.H. Grollman;O.C. Jenkins

Frequent Co-Authors

Maja J. Matarić
Maja J. Matarić University of Southern California
Leonid Sigal
Leonid Sigal University of British Columbia
Joseph J. LaViola
Joseph J. LaViola University of Central Florida
R. Iris Bahar
R. Iris Bahar Brown University
Aaron Steinfeld
Aaron Steinfeld Carnegie Mellon University
Holly A. Yanco
Holly A. Yanco University of Massachusetts Lowell
David M. Sobel
David M. Sobel Brown University
Vanessa Evers
Vanessa Evers Nanyang Technological University
Sonia Chernova
Sonia Chernova Georgia Institute of Technology
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California

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