World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
6349
World Ranking
13414
National Ranking
5368

Jason R. Marden 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 Jason R. Marden 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: 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 publications 991+

This scientist: 189 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Jason R. Marden 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 Jason R. Marden sits on this spectrum.

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 D-Index 131+

This scientist: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Jason R. Marden is affiliated with the University of California, Santa Barbara in the United States. Their research spans various disciplines primarily within decision sciences, computer science, and economics, econometrics, and finance.

Their main fields of study include:

  • Decision Sciences
  • Computer Science
  • Economics, Econometrics and Finance

Within these broader fields, specific subfields of study addressed are:

  • Management Science and Operations Research
  • Economics and Econometrics
  • Computer Networks and Communications
  • Safety Research
  • Civil and Structural Engineering

The research topics of focus include:

  • Game Theory and Applications
  • Auction Theory and Applications
  • Game Theory and Voting Systems
  • Experimental Behavioral Economics Studies
  • Infrastructure Resilience and Vulnerability Analysis
  • Optimization and Search Problems
  • Economic theories and models

Recent papers authored or coauthored by Jason R. Marden cover diverse aspects of multi-agent systems, learning dynamics in electric power grids, greedy algorithms, reinforcement learning, and Bayesian congestion games. Notable recent publications include:

  • Utility and mechanism design in multi-agent systems: An overview, 2022, Annual Reviews in Control
  • Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook, 2022, IEEE Systems Journal
  • Execution Order Matters in Greedy Algorithms with Limited Information, 2022, 2022 American Control Conference (ACC)
  • Policy Evaluation and Seeking for Multiagent Reinforcement Learning via Best Response, 2021, IEEE Transactions on Automatic Control
  • Avoiding Unintended Consequences: How Incentives Aid Information Provisioning in Bayesian Congestion Games, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC)

Jason R. Marden frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control of Network Systems
  • IEEE Control Systems Letters
  • 2022 American Control Conference (ACC)

The scientist has collaborated regularly with a core group of coauthors, including:

  • Rahul Chandan
  • Keith Paarporn
  • Bryce L. Ferguson
  • Mahnoosh Alizadeh
  • David Grimsman

Best Publications

  • Cooperative Control and Potential Games

    J.R. Marden;G. Arslan;J.S. Shamma

  • Autonomous Vehicle-Target Assignment: A Game-Theoretical Formulation

    Gürdal Arslan;Jason R. Marden;Jeff S. Shamma

  • Designing Games for Distributed Optimization

    Na Li;Jason R. Marden

  • Revisiting log-linear learning: Asynchrony, completeness and payoff-based implementation

    Jason R. Marden;Jeff S. Shamma

  • A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods

    J. R. Marden;S. D. Ruben;L. Y. Pao

  • Joint Strategy Fictitious Play With Inertia for Potential Games

    J.R. Marden;G. Arslan;J.S. Shamma

  • Payoff-Based Dynamics for Multiplayer Weakly Acyclic Games

    Jason R. Marden;H. Peyton Young;Gürdal Arslan;Jeff S. Shamma

  • Distributed Welfare Games

    Jason R. Marden;Adam Wierman

  • Game Theory and Distributed Control

    Jason R. Marden;Jeff S. Shamma

  • State based potential games

    Jason R. Marden

  • Achieving Pareto Optimality Through Distributed Learning

    Jason R. Marden;H. Peyton Young;Lucy Y. Pao

  • An architectural view of game theoretic control

    Ragavendran Gopalakrishnan;Jason R. Marden;Adam Wierman

  • A data-driven model for wind plant power optimization by yaw control

    P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;P. A. Fleming

  • Game Theory and Control

    Jason R. Marden;Jeff S. Shamma

  • Potential Games Are Necessary to Ensure Pure Nash Equilibria in Cost Sharing Games

    Ragavendran Gopalakrishnan;Jason R. Marden;Adam Wierman

  • Regret based dynamics: convergence in weakly acyclic games

    Jason R. Marden;Gürdal Arslan;Jeff S. Shamma

  • The Price of Selfishness in Network Coding

    J. R. Marden;M. Effros

  • Payoff based dynamics for multi-player weakly acyclic games

    J.R. Marden;H.P. Young;G. Arslan;J.S. Shamma

  • Decoupling Coupled Constraints Through Utility Design

    Na Li;Jason R. Marden

  • Generalized efficiency bounds in distributed resource allocation

    Jason R. Marden;Tim Roughgarden

  • Connections between cooperative control and potential games illustrated on the consensus problem

    Jason R. Marden;Gurdal Arslan;Jeff S. Shamma

  • Autonomous Vehicle-Target Assignment: A Game-Theoretical

    Gürdal Arslan;Jason R. Marden;Jeff S. Shamma

Frequent Co-Authors

Jeff S. Shamma
Jeff S. Shamma University of Illinois at Urbana-Champaign
Adam Wierman
Adam Wierman California Institute of Technology
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara
Lucy Y. Pao
Lucy Y. Pao University of Colorado Boulder
Na Li
Na Li Harvard University
H. Peyton Young
H. Peyton Young University of Oxford
Michelle Effros
Michelle Effros California Institute of Technology
Paul Fleming
Paul Fleming National Renewable Energy Laboratory
Yisheng Zhong
Yisheng Zhong Tsinghua University
Francesco Bullo
Francesco Bullo University of California, Santa Barbara

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