David V. Pynadath
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Social Psychology top 5%
- Management Science and Operations Research top 2%
- Sociology and Political Science top 10%
- Topics
- Multi-Agent Systems and Negotiation (23 papers)Logic, Reasoning, and Knowledge (10 papers)Bayesian Modeling and Causal Inference (8 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Networks and Communications
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCognitive ScienceIEEE Internet Computing
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David V. Pynadath
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 1.3k
- Computer Networks and Communications 399
- Social Psychology 335
- Management Science and Operations Research 313
- Sociology and Political Science 220
Countries citing papers authored by David V. Pynadath
This map shows the geographic impact of David V. Pynadath'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 V. Pynadath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David V. Pynadath more than expected).
Fields of papers citing papers by David V. Pynadath
This network shows the impact of papers produced by David V. Pynadath. 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 V. Pynadath. The network helps show where David V. Pynadath may publish in the future.
Co-authorship network of co-authors of David V. Pynadath
This figure shows the co-authorship network connecting the top 25 collaborators of David V. Pynadath. A scholar is included among the top collaborators of David V. Pynadath 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 V. Pynadath. David V. Pynadath 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 | 0 | |
| 3 | 7 | |
| 4 | Plan, Activity, and Intent Recognition: Theory and Practice | 108 |
| 5 | Computational Models of Human Behavior in Wartime Negotiations | 3 |
| 6 | 1 | |
| 7 | 11 | |
| 8 | Self-deceptive decision making: normative and descriptive insights | 2 |
| 9 | Minimal mental models | 31 |
| 10 | Electric Elves: What Went Wrong and Why. | 8 |
| 11 | PsychSim: modeling theory of mind with decision-theoretic agents | 99 |
| 12 | 36 | |
| 13 | PsychSim: Agent-based Modeling of Social Interactions and Influence. | 84 |
| 14 | 14 | |
| 15 | Team Coordination among Distributed Agents: Analyzing Key Teamwork Theories and Models | 5 |
| 16 | 3 | |
| 17 | Towards Computing Optimal Policies for Decentralized POMDPs | 2 |
| 18 | Electric Elves: Applying Agent Technology to Support Human Organizations | 81 |
| 19 | Toward Team-Oriented Programming | 2 |
| 20 | Probabilistic Grammars for Plan Recognition | 22 |
About David V. Pynadath
David V. Pynadath is a scholar working on General Decision Sciences, Artificial Intelligence and Management Science and Operations Research, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (23 papers), Logic, Reasoning, and Knowledge (10 papers) and Bayesian Modeling and Causal Inference (8 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Management Science and Operations Research (313 citations) and Computer Networks and Communications (399 citations). David V. Pynadath has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Milind Tambe, Stacy Marsella, Paul Scerri, Mei Si, Ning Wang, Ranjit Nair, Makoto Yokoo, Susan G. Hill, Michael P. Wellman and Robert P. Goldman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cognitive Science and IEEE Internet Computing.
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.