Utpal Nandi

27 papers and 143 indexed citations i.

About

Utpal Nandi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Utpal Nandi has authored 27 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Mathematical Physics. Recurrent topics in Utpal Nandi’s work include Algorithms and Data Compression (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Data Compression Techniques (4 papers). Utpal Nandi is often cited by papers focused on Algorithms and Data Compression (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Data Compression Techniques (4 papers). Utpal Nandi collaborates with scholars based in India, United States and Brazil. Utpal Nandi's co-authors include Moirangthem Marjit Singh, Jyotsna Kumar Mandal, Rajat Kumar Pal, Tapas Si, Swalpa Kumar Roy, Danfeng Hong, Xin Wu, Saurav Mallik, Jocelyn Chanussot and Hong Qin and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Utpal Nandi i

Fields of papers citing papers by Utpal Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Utpal Nandi

Since Specialization
Citations

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