David M. Pennock

1.7k total citations
57 papers, 685 citations indexed

About

David M. Pennock is a scholar working on Economics and Econometrics, Management Science and Operations Research and Marketing. According to data from OpenAlex, David M. Pennock has authored 57 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Economics and Econometrics, 33 papers in Management Science and Operations Research and 10 papers in Marketing. Recurrent topics in David M. Pennock's work include Sports Analytics and Performance (34 papers), Auction Theory and Applications (24 papers) and Consumer Market Behavior and Pricing (10 papers). David M. Pennock is often cited by papers focused on Sports Analytics and Performance (34 papers), Auction Theory and Applications (24 papers) and Consumer Market Behavior and Pricing (10 papers). David M. Pennock collaborates with scholars based in United States, United Kingdom and Spain. David M. Pennock's co-authors include Justin Wolfers, Emile Servan-Schreiber, Yiling Chen, Michael P. Wellman, Sébastien Lahaie, Jennifer Wortman Vaughan, Lance Fortnow, Hemant K. Bhargava, Juan Feng and Rupert Freeman and has published in prestigious journals such as Management Science, The Journal of Infectious Diseases and Journal of Economic Theory.

In The Last Decade

David M. Pennock

55 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Pennock United States 13 393 308 141 126 123 57 685
Yiling Chen United States 14 337 0.9× 251 0.8× 103 0.7× 56 0.4× 71 0.6× 44 511
Sébastien Lahaie United States 12 222 0.6× 461 1.5× 39 0.3× 370 2.9× 119 1.0× 45 984
Philipp Strack United States 18 385 1.0× 426 1.4× 145 1.0× 100 0.8× 47 0.4× 79 911
Dhananjay K. Gode United States 7 660 1.7× 461 1.5× 281 2.0× 86 0.7× 50 0.4× 17 1.1k
Christopher P. Chambers United States 18 535 1.4× 277 0.9× 38 0.3× 34 0.3× 135 1.1× 90 907
Leslie R. Fine United States 6 99 0.3× 86 0.3× 16 0.1× 60 0.5× 77 0.6× 8 361
Ilia Tsetlin Singapore 14 292 0.7× 352 1.1× 67 0.5× 46 0.4× 70 0.6× 35 642
Pablo Azar United States 11 197 0.5× 151 0.5× 117 0.8× 144 1.1× 82 0.7× 28 558
Sukanto Bhattacharya Australia 11 110 0.3× 115 0.4× 73 0.5× 24 0.2× 192 1.6× 53 756
Nicolas Vieille France 16 476 1.2× 621 2.0× 119 0.8× 34 0.3× 54 0.4× 41 836

Countries citing papers authored by David M. Pennock

Since Specialization
Citations

This map shows the geographic impact of David M. Pennock'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 David M. Pennock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Pennock more than expected).

Fields of papers citing papers by David M. Pennock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Pennock. 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 David M. Pennock. The network helps show where David M. Pennock may publish in the future.

Co-authorship network of co-authors of David M. Pennock

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Pennock. A scholar is included among the top collaborators of David M. Pennock 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 David M. Pennock. David M. Pennock 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.
Freeman, Rupert, Anson Kahng, & David M. Pennock. (2020). Proportionality in Approval-Based Elections With a Variable Number of Winners. 132–138. 5 indexed citations
2.
Farhadi, Alireza, Mohammad Ghodsi, Mohammad Taghi Hajiaghayi, et al.. (2019). Fair Allocation of Indivisible Goods to Asymmetric Agents. Journal of Artificial Intelligence Research. 64. 1–20. 38 indexed citations
3.
Freeman, Rupert & David M. Pennock. (2018). An Axiomatic View of the Parimutuel Consensus Wagering Mechanism. Adaptive Agents and Multi-Agents Systems. 1936–1938. 2 indexed citations
4.
Lahaie, Sébastien, et al.. (2016). An empirical game-theoretic analysis of price discovery in prediction markets. International Joint Conference on Artificial Intelligence. 510–516. 2 indexed citations
5.
Pennock, David M., Vasilis Syrgkanis, & Jennifer Wortman Vaughan. (2016). Bounded rationality in wagering mechanisms. Uncertainty in Artificial Intelligence. 587–596. 2 indexed citations
6.
Chen, Yiling, Nikhil R. Devanur, David M. Pennock, & Jennifer Wortman Vaughan. (2014). Removing arbitrage from wagering mechanisms. 377–394. 10 indexed citations
7.
Pennock, David M. & Michael P. Wellman. (2013). Compact Securities Markets for Pareto Optimal Reallocation of Risk. arXiv (Cornell University).
8.
Beygelzimer, Alina, John Langford, & David M. Pennock. (2012). Learning performance of prediction markets with Kelly bettors. Adaptive Agents and Multi-Agents Systems. 1317–1318. 6 indexed citations
9.
Pennock, David M. & Lirong Xia. (2011). Price updating in combinatorial prediction markets with Bayesian networks. 581–588. 6 indexed citations
10.
Chen, Yiling & David M. Pennock. (2010). Designing Markets for Prediction. AI Magazine. 31(4). 42–52. 36 indexed citations
11.
Guo, Mingyu & David M. Pennock. (2009). Combinatorial prediction markets for event hierarchies. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 201–208. 8 indexed citations
12.
Lahaie, Sébastien, David C. Parkes, & David M. Pennock. (2008). An expressive auction design for online display advertising. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 108–113. 19 indexed citations
13.
Fortnow, Lance, Joe Kilian, David M. Pennock, & Michael P. Wellman. (2004). Betting Boolean-style: a framework for trading in securities based on logical formulas. Decision Support Systems. 39(1). 87–104. 17 indexed citations
14.
Heylighen, Francis, Carlos Gershenson, Gary William Flake, et al.. (2003). Neurons, viscose fluids, freshwater polyp hydra-and self-organizing information systems. IEEE Intelligent Systems. 18(4). 72–86. 48 indexed citations
15.
Fortnow, Lance, Joe Kilian, David M. Pennock, & Michael P. Wellman. (2003). Betting boolean-style: a framework for trading in securities based on logical formulas. 144–155. 23 indexed citations
16.
Pennock, David M.. (2001). NP Markets, or How To Get Everyone Else to Solve Your Intractable Problems.
17.
Pennock, David M., et al.. (2000). A Normative Examination of Ensemble Learning Algorithms. International Conference on Machine Learning. 735–742. 4 indexed citations
18.
Pennock, David M., et al.. (2000). The power of play: Efficiency and forecast accuracy in web market games. 11 indexed citations
19.
Pennock, David M. & Michael P. Wellman. (1998). A Market Framework for Pooling Opinions. 2 indexed citations
20.
Pennock, David M. & Michael P. Wellman. (1996). Toward a market model for Bayesian inference. Uncertainty in Artificial Intelligence. 405–413. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026