Pabitra Mitra

134 papers and 3.7k indexed citations i.

About

Pabitra Mitra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Pabitra Mitra has authored 134 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 20 papers in Information Systems. Recurrent topics in Pabitra Mitra’s work include Rough Sets and Fuzzy Logic (13 papers), Topic Modeling (11 papers) and Climate variability and models (11 papers). Pabitra Mitra is often cited by papers focused on Rough Sets and Fuzzy Logic (13 papers), Topic Modeling (11 papers) and Climate variability and models (11 papers). Pabitra Mitra collaborates with scholars based in India, United States and Norway. Pabitra Mitra's co-authors include Sankar K. Pal, C.A. Murthy, Sushmita Mitra, J. Maiti, Sudeshna Sarkar, Anima Pramanik, Sujan Kumar Saha, B. Uma Shankar, Ivar Giæver and Anirban Santara and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Pabitra Mitra i

Fields of papers citing papers by Pabitra Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pabitra Mitra

Since Specialization
Citations

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