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Engineering and Technology
USA
2025

D-Index & Metrics

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 publications per year

The chart shows the history of publications by Peter Stone between 1959 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Stone published across 67 years, from 1959 to 2025, averaging 13.3 papers a year. Output peaked at 66 publications in 2021. 70 of the 888 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1959 to 2025. Vertical axis: number of publications, 0 to 66. Peak 66 publications in 2021. 1959: 1 publication 1960: 0 publications 1961: 0 publications 1962: 0 publications 1963: 0 publications 1964: 0 publications 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 1 publication 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 1 publication 1982: 0 publications 1983: 0 publications 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 1 publication 1988: 0 publications 1989: 2 publications 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 2 publications 1995: 3 publications 1996: 2 publications 1997: 8 publications 1998: 18 publications 1999: 10 publications 2000: 22 publications 2001: 15 publications 2002: 10 publications 2003: 11 publications 2004: 18 publications 2005: 26 publications 2006: 44 publications 2007: 37 publications 2008: 22 publications 2009: 19 publications 2010: 31 publications 2011: 36 publications 2012: 36 publications 2013: 19 publications 2014: 30 publications 2015: 27 publications 2016: 30 publications 2017: 55 publications 2018: 47 publications 2019: 31 publications 2020: 50 publications 2021: 66 publications 2022: 35 publications 2023: 49 publications 2024: 45 publications 2025: 25 publications
1959 2025

888 publications in total across all disciplines

View publications per year as a table
Peter Stone: publications per year, 1959 to 2025
Year Publications
1959 1
1960 0
1961 0
1962 0
1963 0
1964 0
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 1
1977 0
1978 0
1979 0
1980 0
1981 1
1982 0
1983 0
1984 1
1985 0
1986 0
1987 1
1988 0
1989 2
1990 1
1991 0
1992 0
1993 1
1994 2
1995 3
1996 2
1997 8
1998 18
1999 10
2000 22
2001 15
2002 10
2003 11
2004 18
2005 26
2006 44
2007 37
2008 22
2009 19
2010 31
2011 36
2012 36
2013 19
2014 30
2015 27
2016 30
2017 55
2018 47
2019 31
2020 50
2021 66
2022 35
2023 49
2024 45
2025 25
Total 888
Download as CSV

Peter Stone publications per year - data summary

  • Peter Stone, a Computer Science scholar from The University of Texas at Austin, has 888 publications recorded across 67 years, from 1959 to 2025.
  • The oldest publication on record dates to 1959 and the most recent to 2025.
  • The most productive year is 2021, with 66 publications.
  • The least productive years with any output are 1959, 1976, 1981, 1984 and others, with 1 publication each.
  • 27 of the 67 years in the span carry no publications at all (1960, 1961, 1962, 1963 and others).
  • The rate of publication averages 13.3 papers per year over the whole span, or 22.2 per year counting only the 40 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 220 publications, 25% of the career total.
  • Split into equal eras - 1959-1981: 3 publications (0.1 per year); 1982-2004: 125 publications (5.4 per year); 2005-2025: 760 publications (36.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 752–761 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10 756
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Peter Stone publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Peter Stone, a Computer Science scholar from The University of Texas at Austin, records 756 publications - the 98th percentile of the discipline.
  • 98% of ranked Computer Science scientists score the same or lower than Peter Stone, and about 2% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Peter Stone ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 96–97 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38 96
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Peter Stone D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Peter Stone, a Computer Science scholar from The University of Texas at Austin, records 96 D-Index - the 97th percentile of the discipline.
  • 97% of ranked Computer Science scientists score the same or lower than Peter Stone, and about 3% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Peter Stone ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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

  • Multiagent Systems: A Survey from a Machine Learning Perspective

    Peter Stone;Manuela Veloso

  • Efficacy of climate forcings

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

  • Climate Sensitivity: Analysis of Feedback Mechanisms

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

  • A multiagent approach to autonomous intersection management

    Kurt Dresner;Peter Stone

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

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

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

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

  • 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

  • Policy gradient reinforcement learning for fast quadrupedal locomotion

    N. Kohl;P. Stone

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

    Peter Stone

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

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

  • Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism

    Kurt Dresner;Peter Stone

  • Layered Learning

    Peter Stone;Manuela M. Veloso

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

    Peter Stone;Manuela Veloso

  • 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

  • The RoboCup Synthetic Agent Challenge 97

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

  • Multi-gas assessment of the Kyoto Protocol

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

  • Outracing champion Gran Turismo drivers with deep reinforcement learning

    Unknown

  • Interactively shaping agents via human reinforcement: the TAMER framework

    W. Bradley Knox;Peter Stone

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

    Peter H. Stone

  • On Non-Geostrophic Baroclinic Stability

    Peter H. Stone

  • Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems

    Stefano V. Albrecht;Peter Stone

  • Climate forcings in Goddard Institute for Space Studies SI2000 simulations

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

  • Multiagent traffic management: an improved intersection control mechanism

    Kurt Dresner;Peter Stone

  • Deep Recurrent Q-Learning for Partially Observable MDPs

    Matthew Hausknecht;Peter Stone

  • Ad hoc autonomous agent teams: collaboration without pre-coordination

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

  • Evolutionary Function Approximation for Reinforcement Learning

    Shimon Whiteson;Peter Stone

  • Layered learning in multiagent systems

    Peter Stone

  • PAC Subset Selection in Stochastic Multi-armed Bandits

    Shivaram Kalyanakrishnan;Ambuj Tewari;Peter Auer;Peter Stone

  • Auction-based autonomous intersection management

    Dustin Carlino;Stephen D. Boyles;Peter Stone

  • Transfer Learning via Inter-Task Mappings for Temporal Difference Learning

    Matthew E. Taylor;Peter Stone;Yaxin Liu

Frequent Co-Authors

Manuela Veloso
Manuela Veloso Carnegie Mellon University
Shimon Whiteson
Shimon Whiteson University of Oxford
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
Sarit Kraus
Sarit Kraus Bar-Ilan University
Raymond J. Mooney
Raymond J. Mooney The University of Texas at Austin
Minoru Asada
Minoru Asada Osaka University
Michael L. Littman
Michael L. Littman Brown University
Tucker Balch
Tucker Balch Emory University
Satinder Singh
Satinder Singh DeepMind (United Kingdom)
Risto Miikkulainen
Risto Miikkulainen The University of Texas at Austin

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