Sunil Kumar Sahu

9 papers and 200 indexed citations i.

About

Sunil Kumar Sahu is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sunil Kumar Sahu has authored 9 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sunil Kumar Sahu’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Artificial Intelligence in Healthcare (2 papers). Sunil Kumar Sahu is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Artificial Intelligence in Healthcare (2 papers). Sunil Kumar Sahu collaborates with scholars based in India, Australia and Japan. Sunil Kumar Sahu's co-authors include Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu, Sudhanshu Mittal, Samarth Tripathi, Billy Chiu and Shovit Bhattacharya and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Applied Sciences and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Sunil Kumar Sahu i

Fields of papers citing papers by Sunil Kumar Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Kumar Sahu. 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 Sunil Kumar Sahu. The network helps show where Sunil Kumar Sahu may publish in the future.

Countries citing papers authored by Sunil Kumar Sahu

Since Specialization
Citations

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