Anima Pramanik

13 papers and 370 indexed citations i.

About

Anima Pramanik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Anima Pramanik has authored 13 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Anima Pramanik’s work include Anomaly Detection Techniques and Applications (3 papers), Video Surveillance and Tracking Methods (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Anima Pramanik is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Video Surveillance and Tracking Methods (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Anima Pramanik collaborates with scholars based in India, United Kingdom and The Netherlands. Anima Pramanik's co-authors include J. Maiti, Pabitra Mitra, Sankar K. Pal, Sobhan Sarkar, Genserik Reniers, Indranil Bose and Sudip K. Sarker and has published in prestigious journals such as Information Sciences, Accident Analysis & Prevention and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Anima Pramanik i

Fields of papers citing papers by Anima Pramanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anima Pramanik

Since Specialization
Citations

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