P. Anandan

29 papers and 388 indexed citations i.

About

P. Anandan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, P. Anandan has authored 29 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in P. Anandan’s work include Advanced Vision and Imaging (10 papers), Advanced Data Compression Techniques (4 papers) and Medical Image Segmentation Techniques (3 papers). P. Anandan is often cited by papers focused on Advanced Vision and Imaging (10 papers), Advanced Data Compression Techniques (4 papers) and Medical Image Segmentation Techniques (3 papers). P. Anandan collaborates with scholars based in India, United States and Israel. P. Anandan's co-authors include Michal Irani, Richard Szeliski, Philip H. S. Torr, Rakesh Kumar, R. S. Sabeenian, M. Irani, Marion C. Cohen, Michael J. Black, Kristin Dana and Peter J. Burt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Materials Science in Semiconductor Processing.

In The Last Decade

Co-authorship network of co-authors of P. Anandan i

Fields of papers citing papers by P. Anandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by P. Anandan

Since Specialization
Citations

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