Anurag Vaidya

8 papers and 439 indexed citations i.

About

Anurag Vaidya is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anurag Vaidya has authored 8 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anurag Vaidya’s work include AI in cancer detection (6 papers), Biomedical Text Mining and Ontologies (2 papers) and Cell Image Analysis Techniques (2 papers). Anurag Vaidya is often cited by papers focused on AI in cancer detection (6 papers), Biomedical Text Mining and Ontologies (2 papers) and Cell Image Analysis Techniques (2 papers). Anurag Vaidya collaborates with scholars based in United States. Anurag Vaidya's co-authors include Faisal Mahmood, Drew F. K. Williamson, Ming Y. Lu, Richard J. Chen, Muhammad Shaban, Bowen Chen, Jana Lipková, Tiffany Chen, Guillaume Jaume and Matteo Barbieri and has published in prestigious journals such as Nature Medicine, Cancer Cell and Journal of the mechanical behavior of biomedical materials.

In The Last Decade

Co-authorship network of co-authors of Anurag Vaidya i

Fields of papers citing papers by Anurag Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anurag Vaidya

Since Specialization
Citations

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