Madhu S. Nair

88 papers and 1.3k indexed citations i.

About

Madhu S. Nair is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Madhu S. Nair has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 27 papers in Media Technology and 24 papers in Artificial Intelligence. Recurrent topics in Madhu S. Nair’s work include Image and Signal Denoising Methods (22 papers), Advanced Image Fusion Techniques (18 papers) and AI in cancer detection (18 papers). Madhu S. Nair is often cited by papers focused on Image and Signal Denoising Methods (22 papers), Advanced Image Fusion Techniques (18 papers) and AI in cancer detection (18 papers). Madhu S. Nair collaborates with scholars based in India, Norway and United States. Madhu S. Nair's co-authors include Bejoy Abraham, G. Raju, G. R. Bindu, Asha Das, P. Punitha, Rao Tatavarti, Jeny Rajan, M. Wilscy, K. Revathy and Jan Sijbers and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Madhu S. Nair i

Fields of papers citing papers by Madhu S. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhu S. Nair. 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 Madhu S. Nair. The network helps show where Madhu S. Nair may publish in the future.

Countries citing papers authored by Madhu S. Nair

Since Specialization
Citations

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