David V. Pynadath

35 papers and 917 indexed citations i.

About

David V. Pynadath is a scholar working on Artificial Intelligence, Social Psychology and Safety Research. According to data from OpenAlex, David V. Pynadath has authored 35 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Social Psychology and 7 papers in Safety Research. Recurrent topics in David V. Pynadath’s work include Multi-Agent Systems and Negotiation (11 papers), Bayesian Modeling and Causal Inference (6 papers) and Experimental Behavioral Economics Studies (5 papers). David V. Pynadath is often cited by papers focused on Multi-Agent Systems and Negotiation (11 papers), Bayesian Modeling and Causal Inference (6 papers) and Experimental Behavioral Economics Studies (5 papers). David V. Pynadath collaborates with scholars based in United States, Australia and United Kingdom. David V. Pynadath's co-authors include Stacy Marsella, Milind Tambe, Ning Wang, Susan G. Hill, Michael P. Wellman, Paul Scerri, Mei Si, Gal A. Kaminka, Yolanda Gil and Thomas A. Russ and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cognitive Science and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of David V. Pynadath i

Fields of papers citing papers by David V. Pynadath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by David V. Pynadath

Since Specialization
Citations

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).

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
2025