World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
9165
World Ranking
12391
National Ranking
5021

Sonia Chernova publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sonia Chernova sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Sonia Chernova D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sonia Chernova sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Sonia Chernova is affiliated with the Georgia Institute of Technology in the United States. Their research primarily focuses on computer science with a strong emphasis on artificial intelligence and robotics. Over the course of their career, they have contributed significantly to several subfields including artificial intelligence, computer vision and pattern recognition, control and systems engineering, computer networks and communications, and social psychology.

Their recent publications include the following papers:

  • Rearrangement: A Challenge for Embodied AI (2020), arXiv (Cornell University)
  • Explainable Activity Recognition for Smart Home Systems (2023), ACM Transactions on Interactive Intelligent Systems
  • Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch (2022), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling (2021), The International Journal of Robotics Research
  • D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning (2023), IEEE Robotics and Automation Letters

Frequent co-authors with whom Sonia Chernova has collaborated include:

  • Harish Ravichandar
  • Devleena Das
  • Angel Daruna
  • Weiyu Liu
  • Glen Neville

The main venues where their work is published are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Frontiers in Robotics and AI
  • ACM Transactions on Interactive Intelligent Systems

Sonia Chernova's research covers a diverse range of main topics including:

  • Reinforcement Learning in Robotics
  • Robot Manipulation and Learning
  • Explainable Artificial Intelligence (XAI)
  • Context-Aware Activity Recognition Systems
  • Multimodal Machine Learning Applications
  • AI-based Problem Solving and Planning
  • Topic Modeling

Best Publications

  • A survey of robot learning from demonstration

    Brenna D. Argall;Sonia Chernova;Manuela Veloso;Brett Browning

  • Recent Advances in Robot Learning from Demonstration

    Harish Ravichandar;Athanasios S. Polydoros;Sonia Chernova;Aude Billard

  • Interactive policy learning through confidence-based autonomy

    Sonia Chernova;Manuela Veloso

  • Robot Learning from Human Teachers

    Sonia Chernova;Andrea L. Thomaz

  • Confidence-based policy learning from demonstration using Gaussian mixture models

    Sonia Chernova;Manuela Veloso

  • An evolutionary approach to gait learning for four-legged robots

    S. Chernova;M. Veloso

  • Reinforcement learning from demonstration through shaping

    Tim Brys;Anna Harutyunyan;Halit Bener Suay;Sonia Chernova

  • Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

    Abhishek Kadian;Joanne Truong;Aaron Gokaslan;Alexander Clegg

  • Integrating reinforcement learning with human demonstrations of varying ability

    Matthew E. Taylor;Halit Bener Suay;Sonia Chernova

  • Effect of human guidance and state space size on Interactive Reinforcement Learning

    Halit Bener Suay;Sonia Chernova

  • Rearrangement: A Challenge for Embodied AI.

    Dhruv Batra;Angel X. Chang;Sonia Chernova;Andrew J. Davison

  • Robot Learning from Human Teachers

    Unknown

  • Crowdsourcing human-robot interaction: new methods and system evaluation in a public environment

    Cynthia Breazeal;Nick DePalma;Jeff Orkin;Sonia Chernova

  • Interactive Hierarchical Task Learning from a Single Demonstration

    Anahita Mohseni-Kabir;Charles Rich;Sonia Chernova;Candace L. Sidner

  • Robot Web Tools: Efficient messaging for cloud robotics

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

  • Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery

    Devleena Das;Siddhartha Banerjee;Sonia Chernova

  • The robot management system: a framework for conducting human-robot interaction studies through crowdsourcing

    Russell Toris;David Kent;Sonia Chernova

  • Learning from Demonstration for Shaping through Inverse Reinforcement Learning

    Halit Bener Suay;Tim Brys;Matthew E. Taylor;Sonia Chernova

  • Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning.

    Muhammad Asif Rana;Mustafa Mukadam;Seyed Reza Ahmadzadeh;Sonia Chernova

  • Mobile human-robot teaming with environmental tolerance

    Matthew M. Loper;Nathan P. Koenig;Sonia H. Chernova;Chris V. Jones

  • Crowdsourcing human-robot interaction: Application from virtual to physical worlds

    Sonia Chernova;Nick DePalma;Elisabeth Morant;Cynthia Breazeal

  • Multi-thresholded approach to demonstration selection for interactive robot learning

    Sonia Chernova;Manuela Veloso

  • A Comparison of Remote Robot Teleoperation Interfaces for General Object Manipulation

    David Kent;Carl Saldanha;Sonia Chernova

Frequent Co-Authors

Manuela Veloso
Manuela Veloso Carnegie Mellon University
Andrea L. Thomaz
Andrea L. Thomaz The University of Texas at Austin
Charles Rich
Charles Rich Worcester Polytechnic Institute
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Charles C. Kemp
Charles C. Kemp Georgia Institute of Technology
Byron Boots
Byron Boots University of Washington
Robert W. Lindeman
Robert W. Lindeman University of Canterbury
Manolis Savva
Manolis Savva Simon Fraser University
Stefan Lee
Stefan Lee Oregon State University

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