Sudeshna Sarkar

75 papers and 870 indexed citations i.

About

Sudeshna Sarkar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sudeshna Sarkar has authored 75 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sudeshna Sarkar’s work include Topic Modeling (25 papers), Natural Language Processing Techniques (23 papers) and Text and Document Classification Technologies (12 papers). Sudeshna Sarkar is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (23 papers) and Text and Document Classification Technologies (12 papers). Sudeshna Sarkar collaborates with scholars based in India, United States and Australia. Sudeshna Sarkar's co-authors include Pabitra Mitra, Sujan Kumar Saha, P.P. Chakrabarti, S. Ghose, Soumendra N. Bhanja, Amit Acharya, Abhijit Mukherjee, Sumit Goswami, Anupam Basu and Animesh Mukherjee and has published in prestigious journals such as Geophysical Research Letters, Expert Systems with Applications and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Sudeshna Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sudeshna Sarkar

Since Specialization
Citations

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