Eswaran Perumal

27 papers and 409 indexed citations i.

About

Eswaran Perumal is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eswaran Perumal has authored 27 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Health Information Management and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eswaran Perumal’s work include Artificial Intelligence in Healthcare (9 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (5 papers). Eswaran Perumal is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (5 papers). Eswaran Perumal collaborates with scholars based in India, Saudi Arabia and South Korea. Eswaran Perumal's co-authors include K. Shankar, Mohamed Elhoseny, Deepak Gupta, Prayag Tiwari, Fatma Taher, Atef Ibrahim, Brij B. Gupta, Ahmed A. Abd El‐Latif, Phong Thanh Nguyen and Mohammad Shorfuzzaman and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Electronics.

In The Last Decade

Co-authorship network of co-authors of Eswaran Perumal i

Fields of papers citing papers by Eswaran Perumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eswaran Perumal

Since Specialization
Citations

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