2026 Peter Stone: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	96	437	425	242	234	756	37493

Peter Stone 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 Peter Stone sits on this spectrum.

32 publications 991+

This scientist: 756 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Peter Stone 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 Peter Stone sits on this spectrum.

30 D-Index 131+

This scientist: 96 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Peter Stone is affiliated with The University of Texas at Austin in the United States. Their research contributions primarily focus on the intersection of computer science, artificial intelligence, and robotics.

The main fields of study include:

Computer Science

Their research delves into significant subfields of computer science, such as:

Artificial Intelligence
Computer Vision and Pattern Recognition
Control and Systems Engineering
Aerospace Engineering
Social Psychology

Key topics addressed in their work feature:

Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
Robot Manipulation and Learning
Multimodal Machine Learning Applications
Adversarial Robustness in Machine Learning
Robotics and Sensor-Based Localization
Social Robot Interaction and HRI

Among their recent papers are the following notable publications:

"Outracing champion Gran Turismo drivers with deep reinforcement learning," 2022, Nature
"Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey," 2020, arXiv (Cornell University)
"Motion planning and control for mobile robot navigation using machine learning: a survey," 2022, Autonomous Robots
"A Lifelong Learning Approach to Mobile Robot Navigation," 2021, IEEE Robotics and Automation Letters
"Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Peter Stone include:

Xuesu Xiao
Garrett Warnell
Haresh Karnan
Joydeep Biswas
Zizhao Wang

Their research is regularly published in venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Robotics and Automation Letters
Autonomous Robots
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Best Publications

Transfer Learning for Reinforcement Learning Domains: A Survey

Matthew E. Taylor;Peter Stone

2014
Citations
Multiagent Systems: A Survey from a Machine Learning Perspective

Peter Stone;Manuela Veloso

1956
Citations
Efficacy of climate forcings

J. Hansen;J. Hansen;M. Sato;R. Ruedy;L. Nazarenko

1694
Citations
Climate Sensitivity: Analysis of Feedback Mechanisms

J. Hansen;A. Lacis;D. Rind;G. Russell

1579
Citations
A multiagent approach to autonomous intersection management

Kurt Dresner;Peter Stone

1518
Citations
Efficient Three-Dimensional Global Models for Climate Studies: Models I and II

J. Hansen;G. Russell;D. Rind;P. Stone

1493
Citations
Global climate changes as forecast by Goddard Institute for Space Studies three-dimensional model

J. Hansen;I. Fung;A. Lacis;D. Rind

1458
Citations
Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data

Gavin A. Schmidt;Reto Ruedy;James E. Hansen;Igor Aleinov

1062
Citations
Policy gradient reinforcement learning for fast quadrupedal locomotion

N. Kohl;P. Stone

945
Citations
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer

Peter Stone

798
Citations
Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models

M. Claussen;LA Mysak;AJ Weaver;Michel Crucifix

746
Citations
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism

Kurt Dresner;Peter Stone

722
Citations
Layered Learning

Peter Stone;Manuela M. Veloso

677
Citations
Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork

Peter Stone;Manuela Veloso

653
Citations
Quantifying Uncertainties in Climate System Properties with the Use of Recent Climate Observations

Chris E. Forest;Peter H. Stone;Andrei P. Sokolov;Myles R. Allen

629
Citations
The RoboCup Synthetic Agent Challenge 97

Hiroaki Kitano;Milind Tambe;Peter Stone;Manuela M. Veloso

566
Citations
Multi-gas assessment of the Kyoto Protocol

John M. Reilly;Ronald G. Prinn;Jochen. Harnisch;Jean. Fitzmaurice

526
Citations
Outracing champion Gran Turismo drivers with deep reinforcement learning

Unknown

505
Citations
Interactively shaping agents via human reinforcement: the TAMER framework

W. Bradley Knox;Peter Stone

504
Citations
A Simplified Radiative-Dynamical Model for the Static Stability of Rotating Atmospheres

Peter H. Stone

480
Citations
On Non-Geostrophic Baroclinic Stability

Peter H. Stone

478
Citations
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems

Stefano V. Albrecht;Peter Stone

445
Citations
Climate forcings in Goddard Institute for Space Studies SI2000 simulations

J. Hansen;M. Sato;M. Sato;L. Nazarenko;L. Nazarenko;R. Ruedy

430
Citations
Multiagent traffic management: an improved intersection control mechanism

Kurt Dresner;Peter Stone

423
Citations
Deep Recurrent Q-Learning for Partially Observable MDPs

Matthew Hausknecht;Peter Stone

396
Citations
Ad hoc autonomous agent teams: collaboration without pre-coordination

Peter Stone;Gal A. Kaminka;Sarit Kraus;Jeffrey S. Rosenschein

366
Citations
Evolutionary Function Approximation for Reinforcement Learning

Shimon Whiteson;Peter Stone

355
Citations
Layered learning in multiagent systems

Peter Stone

342
Citations
PAC Subset Selection in Stochastic Multi-armed Bandits

Shivaram Kalyanakrishnan;Ambuj Tewari;Peter Auer;Peter Stone

313
Citations
Auction-based autonomous intersection management

Dustin Carlino;Stephen D. Boyles;Peter Stone

304
Citations
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning

Matthew E. Taylor;Peter Stone;Yaxin Liu

298
Citations

Frequent Co-Authors

Manuela Veloso Carnegie Mellon University

Shimon Whiteson University of Oxford

Michael P. Wellman University of Michigan–Ann Arbor

Sarit Kraus Bar-Ilan University

Raymond J. Mooney The University of Texas at Austin

Minoru Asada Osaka University

Michael L. Littman Brown University

Tucker Balch Emory University

Satinder Singh DeepMind (United Kingdom)

Risto Miikkulainen The University of Texas at Austin

External Links

Wikipedia of Peter Stone Personal website of Peter Stone

If you think any of the details on this page are incorrect, let us know.

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