Prasang Upadhyaya

13 papers and 293 indexed citations i.

About

Prasang Upadhyaya is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Prasang Upadhyaya has authored 13 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 7 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Prasang Upadhyaya’s work include Auction Theory and Applications (5 papers), Data Quality and Management (4 papers) and Privacy-Preserving Technologies in Data (4 papers). Prasang Upadhyaya is often cited by papers focused on Auction Theory and Applications (5 papers), Data Quality and Management (4 papers) and Privacy-Preserving Technologies in Data (4 papers). Prasang Upadhyaya collaborates with scholars based in United States, Japan and Switzerland. Prasang Upadhyaya's co-authors include Magdalena Balazinska, Dan Suciu, Bill Howe, Paraschos Koutris, Lorenzo Keller, George Candea, YongChul Kwon, Raghav Kaushik, Yuanpu Xie and Akshay Gupta and has published in prestigious journals such as Journal of the ACM, Proceedings of the VLDB Endowment and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Co-authorship network of co-authors of Prasang Upadhyaya i

Fields of papers citing papers by Prasang Upadhyaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prasang Upadhyaya

Since Specialization
Citations

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