David C. Parkes
About
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Combinatorial Auctions in Practice | Journal of Economic Literature | Ignacio Palacios‐Huerta, David C. Parkes et al. | 2 |
| 2 | Platform Equilibrium: Analyzing Social Welfare in Online Market Places | David C. Parkes et al. | 1 | |
| 3 | Optimal Auctions through Deep Learning: Advances in Differentiable Economics | Journal of the ACM | Paul Dütting, Zhe Feng et al. | 18 |
| 4 | Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study | Stephan Zheng, David C. Parkes et al. | 6 | |
| 5 | Decision-Aware Conditional GANs for Time Series Data | David C. Parkes et al. | 2 | |
| 6 | Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments | Autonomous Agents and Multi-Agent Systems | Goran Radanović, David C. Parkes et al. | 1 |
| 7 | Responding to the biodiversity impacts of a megafire: A case study from south‐eastern Australia’s Black Summer | Diversity and Distributions | William L. Geary, Matthew J. Bruce et al. | 50 |
| 8 | Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning | DSpace@MIT (Massachusetts Institute of Technology) | James A. Evans, Joshua B. Tenenbaum et al. | 10 |
| 9 | From Predictions to Decisions: Using Lookahead Regularization | Neural Information Processing Systems | David C. Parkes et al. | 1 |
| 10 | Optimal Auctions through Deep Learning | International Conference on Machine Learning | Zhe Feng, Harikrishna Narasimhan et al. | 37 |
| 11 | Fair Division via Social Comparison | arXiv (Cornell University) | Rediet Abebe, Jon Kleinberg et al. | 24 |
| 12 | Generalizing Demand Response Through Reward Bidding | Adaptive Agents and Multi-Agents Systems | David C. Parkes, Valentin Robu et al. | 12 |
| 13 | Statistical inference of long-term causal effects in multiagent systems under the Neyman-Rubin model. | arXiv (Cornell University) | Panos Toulis, David C. Parkes | 0 |
| 14 | Generalized Method-of-Moments for Rank Aggregation | Neural Information Processing Systems | William Chen, David C. Parkes et al. | 36 |
| 15 | Task routing for prediction tasks | Adaptive Agents and Multi-Agents Systems | Haoqi Zhang, Eric Horvitz et al. | 24 |
| 16 | Online mechanism design for electric vehicle charging | Adaptive Agents and Multi-Agents Systems | Enrico Gerding, Valentin Robu et al. | 94 |
| 17 | Security Games in Online Advertising: Can Ads Help Secure the Web? | Infoscience (Ecole Polytechnique Fédérale de Lausanne) | Jean‐Pierre Hubaux, David C. Parkes et al. | 7 |
| 18 | HarTAC– The Harvard TAC SCM'03 Agent | Digital Access to Scholarship at Harvard (DASH) (Harvard University) | David C. Parkes et al. | 5 |
| 19 | An Iterative Generalized Vickrey Auction: Strategy-Proofness without Complete Revelation | Digital Access to Scholarship at Harvard (DASH) (Harvard University) | David C. Parkes | 26 |
| 20 | Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment | Digital Access to Scholarship at Harvard (DASH) (Harvard University) | David C. Parkes, Lyle Ungar | 66 |
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.