Swaprava Nath

22 papers and 167 indexed citations i.

About

Swaprava Nath is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Swaprava Nath has authored 22 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 12 papers in Economics and Econometrics and 4 papers in Artificial Intelligence. Recurrent topics in Swaprava Nath’s work include Auction Theory and Applications (14 papers), Game Theory and Voting Systems (9 papers) and Game Theory and Applications (4 papers). Swaprava Nath is often cited by papers focused on Auction Theory and Applications (14 papers), Game Theory and Voting Systems (9 papers) and Game Theory and Applications (4 papers). Swaprava Nath collaborates with scholars based in India, United States and France. Swaprava Nath's co-authors include Nisarg Shah, Ariel D. Procaccia, Ioannis Caragiannis, Venkatesan Ekambaram, P. Vijay Kumar, Anurag Kumar, Y. Narahari, Tüomas Sandholm, Palash Dey and N. Balakrishnan and has published in prestigious journals such as Management Science, Mathematical Programming and Economics Letters.

In The Last Decade

Co-authorship network of co-authors of Swaprava Nath i

Fields of papers citing papers by Swaprava Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Swaprava Nath

Since Specialization
Citations

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