Sriparna Saha

252 papers and 3.8k indexed citations i.

About

Sriparna Saha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sriparna Saha has authored 252 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Artificial Intelligence, 69 papers in Computer Vision and Pattern Recognition and 61 papers in Molecular Biology. Recurrent topics in Sriparna Saha’s work include Topic Modeling (60 papers), Metaheuristic Optimization Algorithms Research (46 papers) and Advanced Clustering Algorithms Research (41 papers). Sriparna Saha is often cited by papers focused on Topic Modeling (60 papers), Metaheuristic Optimization Algorithms Research (46 papers) and Advanced Clustering Algorithms Research (41 papers). Sriparna Saha collaborates with scholars based in India, United Kingdom and United States. Sriparna Saha's co-authors include Sanghamitra Bandyopadhyay, Asif Ekbal, Ujjwal Maulik, Kalyanmoy Deb, Pushpak Bhattacharyya, Urvinder Singh, Rohit Salgotra, Naveen Saini, Mohammed Hasanuzzaman and Sayantan Mitra and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Co-authorship network of co-authors of Sriparna Saha i

Fields of papers citing papers by Sriparna Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sriparna Saha

Since Specialization
Citations

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