David C. Parkes
- Management Science and Operations Research top 0.05%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Economics and Econometrics top 0.5%
- Marketing top 0.5%
- Co-authors
- Lyle UngarJayant KalagnanamDavid ChealGraeme NewellAriel D. ProcacciaNicholas R. JenningsHaoqi ZhangJoan Feigenbaum
- Topics
- Auction Theory and Applications (160 papers)Consumer Market Behavior and Pricing (61 papers)Game Theory and Applications (49 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David C. Parkes
247 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Management Science and Operations Research 4.0k
- Computer Networks and Communications 2.1k
- Artificial Intelligence 1.6k
- Economics and Econometrics 1.4k
- Marketing 1.3k
Countries citing papers authored by David C. Parkes
This map shows the geographic impact of David C. Parkes'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 C. Parkes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Parkes more than expected).
Fields of papers citing papers by David C. Parkes
This network shows the impact of papers produced by David C. Parkes. 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 C. Parkes. The network helps show where David C. Parkes may publish in the future.
Co-authorship network of co-authors of David C. Parkes
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Parkes. A scholar is included among the top collaborators of David C. Parkes 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 C. Parkes. David C. Parkes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 50 | |
| 8 | 10 | |
| 9 | From Predictions to Decisions: Using Lookahead Regularization | 1 |
| 10 | Optimal Auctions through Deep Learning | 37 |
| 11 | 24 | |
| 12 | 12 | |
| 13 | Statistical inference of long-term causal effects in multiagent systems under the Neyman-Rubin model. | 0 |
| 14 | Generalized Method-of-Moments for Rank Aggregation | 36 |
| 15 | 24 | |
| 16 | 94 | |
| 17 | Security Games in Online Advertising: Can Ads Help Secure the Web? | 7 |
| 18 | HarTAC– The Harvard TAC SCM'03 Agent | 5 |
| 19 | An Iterative Generalized Vickrey Auction: Strategy-Proofness without Complete Revelation | 26 |
| 20 | Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment | 66 |
About David C. Parkes
David C. Parkes is a scholar working on Management Science and Operations Research, Marketing and Computer Science Applications, having authored 260 papers that have together received 7.9k indexed citations. Recurring topics across this work include Auction Theory and Applications (160 papers), Consumer Market Behavior and Pricing (61 papers) and Game Theory and Applications (49 papers). The work is most often cited by research in Management Science and Operations Research (4.0k citations), Computer Science Applications (901 citations) and Marketing (1.3k citations). David C. Parkes has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lyle Ungar, Jayant Kalagnanam, David Cheal, Graeme Newell, Ariel D. Procaccia, Nicholas R. Jennings, Haoqi Zhang, Joan Feigenbaum, Kamal Jain and Debasis Mishra. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.