Sanjeev Kulkarni

10 papers and 99 indexed citations i.

About

Sanjeev Kulkarni is a scholar working on Computer Networks and Communications, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Sanjeev Kulkarni has authored 10 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Sanjeev Kulkarni’s work include Mobile Ad Hoc Networks (2 papers), Cooperative Communication and Network Coding (2 papers) and Bayesian Modeling and Causal Inference (1 paper). Sanjeev Kulkarni is often cited by papers focused on Mobile Ad Hoc Networks (2 papers), Cooperative Communication and Network Coding (2 papers) and Bayesian Modeling and Causal Inference (1 paper). Sanjeev Kulkarni collaborates with scholars based in United States, India and Germany. Sanjeev Kulkarni's co-authors include Gilbert Harman, Arun Kejariwal, Karthik Ramasamy, Warren B. Powell, Aurélie Lozano, Pramod Viswanath, Benjamin Noack, Marco Avellaneda, Emmanuel Bacry and Rama Cont and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Signal Processing Magazine and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Sanjeev Kulkarni i

Fields of papers citing papers by Sanjeev Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanjeev Kulkarni

Since Specialization
Citations

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