Sumit Sarkar

About

Sumit Sarkar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Sumit Sarkar has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 25 papers in Management Science and Operations Research and 14 papers in Computer Networks and Communications. Recurrent topics in Sumit Sarkar’s work include Bayesian Modeling and Causal Inference (12 papers), Privacy-Preserving Technologies in Data (11 papers) and Data Quality and Management (10 papers). Sumit Sarkar is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Privacy-Preserving Technologies in Data (11 papers) and Data Quality and Management (10 papers). Sumit Sarkar collaborates with scholars based in United States, India and Türkiye. Sumit Sarkar's co-authors include B. P. S. Murthi, Syam Menon, Debabrata Dey, Xiao‐Bai Li, Ishwar Murthy, Varghese S. Jacob, Ram S. Sriram, Zhengrui Jiang, Nirup M. Menon and Prabuddha De and has published in prestigious journals such as Management Science, European Journal of Operational Research and MIS Quarterly.

In The Last Decade

Co-authorship network of co-authors of Sumit Sarkar i

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Fields of papers citing papers by Sumit Sarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumit Sarkar

Since Specialization

Citations

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