Yash Kanoria

31 papers and 406 indexed citations i.

About

Yash Kanoria is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Yash Kanoria has authored 31 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 15 papers in Economics and Econometrics and 9 papers in Computer Networks and Communications. Recurrent topics in Yash Kanoria’s work include Auction Theory and Applications (17 papers), Game Theory and Voting Systems (13 papers) and Consumer Market Behavior and Pricing (9 papers). Yash Kanoria is often cited by papers focused on Auction Theory and Applications (17 papers), Game Theory and Voting Systems (13 papers) and Consumer Market Behavior and Pricing (9 papers). Yash Kanoria collaborates with scholars based in United States, China and South Korea. Yash Kanoria's co-authors include Itai Ashlagi, Daniela Sabán, Jacob D. Leshno, Ramesh Johari, Nick Arnosti, David Gamarnik, Ross Anderson, Andrea Montanari, Mark Braverman and Peng Shi and has published in prestigious journals such as Journal of Political Economy, Management Science and Operations Research.

In The Last Decade

Co-authorship network of co-authors of Yash Kanoria i

Fields of papers citing papers by Yash Kanoria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yash Kanoria

Since Specialization
Citations

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