Nisarg Shah

72 papers and 1.1k indexed citations i.

About

Nisarg Shah is a scholar working on Economics and Econometrics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Nisarg Shah has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Economics and Econometrics, 51 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Nisarg Shah’s work include Game Theory and Voting Systems (53 papers), Auction Theory and Applications (43 papers) and Game Theory and Applications (17 papers). Nisarg Shah is often cited by papers focused on Game Theory and Voting Systems (53 papers), Auction Theory and Applications (43 papers) and Game Theory and Applications (17 papers). Nisarg Shah collaborates with scholars based in United States, Canada and United Kingdom. Nisarg Shah's co-authors include Ariel D. Procaccia, Ioannis Caragiannis, David Kurokawa, Hervé Moulin, Junxing Wang, David C. Parkes, Rupert Freeman, Ian A. Kash, Swaprava Nath and Vincent Conitzer and has published in prestigious journals such as Management Science, Operations Research and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Nisarg Shah i

Fields of papers citing papers by Nisarg Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisarg Shah. 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 Nisarg Shah. The network helps show where Nisarg Shah may publish in the future.

Countries citing papers authored by Nisarg Shah

Since Specialization
Citations

This map shows the geographic impact of Nisarg Shah'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 Nisarg Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisarg Shah 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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2025