Vikas Chaurasia

28 papers and 634 indexed citations i.

About

Vikas Chaurasia is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Vikas Chaurasia has authored 28 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 12 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Vikas Chaurasia’s work include Artificial Intelligence in Healthcare (14 papers), AI in cancer detection (7 papers) and Gene expression and cancer classification (4 papers). Vikas Chaurasia is often cited by papers focused on Artificial Intelligence in Healthcare (14 papers), AI in cancer detection (7 papers) and Gene expression and cancer classification (4 papers). Vikas Chaurasia collaborates with scholars based in India. Vikas Chaurasia's co-authors include Saurabh Pal, B. B. Tiwari and Praveen Kumar Pasala and has published in prestigious journals such as SN Computer Science, Health and Technology and Research Journal of Pharmacy and Technology.

In The Last Decade

Co-authorship network of co-authors of Vikas Chaurasia i

Fields of papers citing papers by Vikas Chaurasia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vikas Chaurasia

Since Specialization
Citations

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