Sarbani Palit

24 papers and 396 indexed citations i.

About

Sarbani Palit is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sarbani Palit has authored 24 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Sarbani Palit’s work include Blind Source Separation Techniques (5 papers), Text and Document Classification Technologies (4 papers) and Imbalanced Data Classification Techniques (3 papers). Sarbani Palit is often cited by papers focused on Blind Source Separation Techniques (5 papers), Text and Document Classification Technologies (4 papers) and Imbalanced Data Classification Techniques (3 papers). Sarbani Palit collaborates with scholars based in India. Sarbani Palit's co-authors include P. P. Kanjilal, Goutam Saha, Manoranjan Maiti, B.B. Chaudhuri, Abhijit Mitra, Aniruddha Chandra, Debasis Sarkar, S. K. De, Sisir Roy and Ujjwal Bhattacharya and has published in prestigious journals such as Astronomy and Astrophysics, IEEE Transactions on Signal Processing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Sarbani Palit i

Fields of papers citing papers by Sarbani Palit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarbani Palit

Since Specialization
Citations

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