Jason R. Marden

6.0k total citations · 2 hit papers
120 papers, 3.6k citations indexed

About

Jason R. Marden is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Economics and Econometrics. According to data from OpenAlex, Jason R. Marden has authored 120 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Management Science and Operations Research, 43 papers in Computer Networks and Communications and 36 papers in Economics and Econometrics. Recurrent topics in Jason R. Marden's work include Game Theory and Applications (80 papers), Auction Theory and Applications (39 papers) and Game Theory and Voting Systems (24 papers). Jason R. Marden is often cited by papers focused on Game Theory and Applications (80 papers), Auction Theory and Applications (39 papers) and Game Theory and Voting Systems (24 papers). Jason R. Marden collaborates with scholars based in United States, United Kingdom and France. Jason R. Marden's co-authors include Jeff S. Shamma, Gürdal Arslan, Lucy Y. Pao, Shalom Ruben, Na Li, Adam Wierman, Paul Fleming, Pieter Gebraad, J.W. van Wingerden and H. Peyton Young and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.

In The Last Decade

Jason R. Marden

114 papers receiving 3.5k citations

Hit Papers

Wind plant power optimization through yaw control using a... 2009 2026 2014 2020 2014 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study
    2014 519 citations Jason R. Marden et al. profile →
  2. Cooperative Control and Potential Games
    2009 352 citations Jason R. Marden, Jeff S. Shamma et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason R. Marden United States 28 1.4k 1.4k 995 936 551 120 3.6k
Yuhua Xu China 35 3.7k 2.7× 281 0.2× 1.6k 1.6× 2.7k 2.9× 698 1.3× 186 5.4k
Maria Prandini Italy 24 378 0.3× 382 0.3× 891 0.9× 460 0.5× 407 0.7× 182 3.0k
Xiao-Yang Liu China 30 774 0.5× 381 0.3× 138 0.1× 788 0.8× 652 1.2× 159 3.0k
Geert Jan Olsder Netherlands 22 362 0.3× 392 0.3× 251 0.3× 207 0.2× 220 0.4× 66 2.3k
Minghui Zhu United States 24 1.9k 1.3× 180 0.1× 152 0.2× 565 0.6× 764 1.4× 110 3.2k
Are Hjørungnes Norway 25 2.6k 1.8× 249 0.2× 470 0.5× 2.8k 3.0× 304 0.6× 155 3.9k
Ronald Parr United States 26 453 0.3× 447 0.3× 364 0.4× 280 0.3× 1.7k 3.2× 56 2.7k
Lining Xing China 34 1.2k 0.8× 284 0.2× 1.3k 1.3× 311 0.3× 952 1.7× 202 4.0k
Luiz A. DaSilva United States 34 4.3k 3.1× 282 0.2× 465 0.5× 2.9k 3.1× 496 0.9× 248 5.5k
Gesualdo Scutari United States 37 4.1k 2.9× 333 0.2× 324 0.3× 3.7k 3.9× 808 1.5× 135 6.1k

Countries citing papers authored by Jason R. Marden

Since Specialization
Citations

This map shows the geographic impact of Jason R. Marden's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason R. Marden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason R. Marden more than expected).

Fields of papers citing papers by Jason R. Marden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Marden. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason R. Marden. The network helps show where Jason R. Marden may publish in the future.

Co-authorship network of co-authors of Jason R. Marden

This figure shows the co-authorship network connecting the top 25 collaborators of Jason R. Marden. A scholar is included among the top collaborators of Jason R. Marden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason R. Marden. Jason R. Marden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Paccagnan, Dario, et al.. (2024). Methodologies for Quantifying and Optimizing the Price of Anarchy. IEEE Transactions on Automatic Control. 69(11). 7742–7757. 2 indexed citations
2.
Marden, Jason R., et al.. (2024). Optimal Utility Design of Greedy Algorithms in Resource Allocation Games. IEEE Transactions on Automatic Control. 69(10). 6592–6604. 2 indexed citations
3.
4.
Paarporn, Keith, et al.. (2023). Equilibrium characterizations of multi-resource Lotto games. IFAC-PapersOnLine. 56(2). 2805–2810.
5.
Bullo, Francesco, et al.. (2023). Beyond the ‘Enemy-of-my-Enemy’ Alliances: Coalitions in Networked Contest Games. 2220–2225. 1 indexed citations
6.
Wang, Shengyi, Liang Du, & Jason R. Marden. (2022). Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook. IEEE Systems Journal. 16(3). 5079–5091. 8 indexed citations
7.
Hespanha, João P., et al.. (2022). The Impact of Measurement Passing in Sensor Network Measurement Selection. IEEE Transactions on Control of Network Systems. 10(1). 112–123.
8.
Marden, Jason R., et al.. (2022). Execution Order Matters in Greedy Algorithms with Limited Information. 2022 American Control Conference (ACC). 1305–1310. 9 indexed citations
9.
Marden, Jason R., et al.. (2022). Balancing Asymptotic and Transient Efficiency Guarantees in Set Covering Games. 2022 American Control Conference (ACC). 4416–4421. 3 indexed citations
10.
Hespanha, João P., et al.. (2019). The Impact of Information in Distributed Submodular Maximization. eScholarship (California Digital Library). 9 indexed citations
11.
Avrachenkov, Konstantin, et al.. (2019). Game Theory for Networks. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2 indexed citations
12.
Paccagnan, Dario, et al.. (2018). Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy.. arXiv (Cornell University). 2 indexed citations
13.
Brown, Philip N., et al.. (2018). The Impact of Informed Adversarial Behavior in Graphical Coordination Games. 4. 1923–1928. 3 indexed citations
14.
Phillips, Matthew J. & Jason R. Marden. (2017). Design Tradeoffs in Concave Cost-Sharing Games. IEEE Transactions on Automatic Control. 63(7). 2242–2247. 4 indexed citations
15.
Marden, Jason R.. (2017). Selecting efficient correlated equilibria through distributed learning. Games and Economic Behavior. 106. 114–133. 9 indexed citations
16.
Paccagnan, Dario & Jason R. Marden. (2017). The risks and rewards of conditioning noncooperative designs to additional information. Spiral (Imperial College London). 958–965. 1 indexed citations
17.
Gopalakrishnan, Ragavendran, Sean Nixon, & Jason R. Marden. (2014). Stable utility design for distributed resource allocation. 1161–1166. 5 indexed citations
18.
Brown, Philip N. & Jason R. Marden. (2013). Social coordination in unknown price-sensitive populations. 62. 1168–1173. 4 indexed citations
19.
Marden, Jason R.. (2012). State based potential games. Automatica. 48(12). 3075–3088. 117 indexed citations
20.
Marden, Jason R. & Jeff S. Shamma. (2010). Revisiting log-linear learning: Asynchrony, completeness and payoff-based implementation. 1171–1172. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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