Sumitra Mukherjee

19 papers and 527 indexed citations i.

About

Sumitra Mukherjee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Sumitra Mukherjee has authored 19 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Management Science and Operations Research. Recurrent topics in Sumitra Mukherjee’s work include Combinatorial Optimization and Complexity Theory (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (3 papers). Sumitra Mukherjee is often cited by papers focused on Combinatorial Optimization and Complexity Theory (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (3 papers). Sumitra Mukherjee collaborates with scholars based in United States, Ukraine and France. Sumitra Mukherjee's co-authors include Michael Laszlo, George T. Duncan, Ramayya Krishnan, Hemant K. Bhargava, Shonali Laha and K V Chalam and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Management Science.

In The Last Decade

Co-authorship network of co-authors of Sumitra Mukherjee i

Fields of papers citing papers by Sumitra Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumitra Mukherjee

Since Specialization
Citations

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