Ariel D. Procaccia

141 papers and 3.1k indexed citations i.

About

Ariel D. Procaccia is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Ariel D. Procaccia has authored 141 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Management Science and Operations Research, 97 papers in Economics and Econometrics and 40 papers in Artificial Intelligence. Recurrent topics in Ariel D. Procaccia’s work include Game Theory and Voting Systems (96 papers), Auction Theory and Applications (86 papers) and Game Theory and Applications (32 papers). Ariel D. Procaccia is often cited by papers focused on Game Theory and Voting Systems (96 papers), Auction Theory and Applications (86 papers) and Game Theory and Applications (32 papers). Ariel D. Procaccia collaborates with scholars based in United States, Israel and Greece. Ariel D. Procaccia's co-authors include Jeffrey S. Rosenschein, Nisarg Shah, Ioannis Caragiannis, David Kurokawa, Aviv Zohar, David C. Parkes, Vincent Conitzer, Junxing Wang, Moshe Tennenholtz and John K. Lai and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Management Science.

In The Last Decade

Co-authorship network of co-authors of Ariel D. Procaccia i

Fields of papers citing papers by Ariel D. Procaccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel D. Procaccia. 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 Ariel D. Procaccia. The network helps show where Ariel D. Procaccia may publish in the future.

Countries citing papers authored by Ariel D. Procaccia

Since Specialization
Citations

This map shows the geographic impact of Ariel D. Procaccia'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 Ariel D. Procaccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel D. Procaccia 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.

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