Kesari Verma

42 papers and 695 indexed citations i.

About

Kesari Verma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Kesari Verma has authored 42 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Media Technology. Recurrent topics in Kesari Verma’s work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Image and Signal Denoising Methods (7 papers). Kesari Verma is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Image and Signal Denoising Methods (7 papers). Kesari Verma collaborates with scholars based in India and Canada. Kesari Verma's co-authors include Bikesh Kumar Singh, A. S. Thoke, Tej Bahadur Chandra, Deepak Jain, Priyanka Tripathi, Jasjit S. Suri, Shubhrata Gupta, Sumit K. Banchhor, Pankaj Jain and Deo Prakash and has published in prestigious journals such as Expert Systems with Applications, Natural Hazards and Measurement.

In The Last Decade

Co-authorship network of co-authors of Kesari Verma i

Fields of papers citing papers by Kesari Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kesari Verma

Since Specialization
Citations

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