Anupama Bhan

13 papers and 180 indexed citations i.

About

Anupama Bhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Anupama Bhan has authored 13 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Anupama Bhan’s work include AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (2 papers). Anupama Bhan is often cited by papers focused on AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (2 papers). Anupama Bhan collaborates with scholars based in India, United States and Spain. Anupama Bhan's co-authors include Ayush Goyal, Gahangir Hossain, Devottam Gaurav, Sanju Tiwari, Anurag Tripathi, Aditya Arora, S. P. Dixit, Parthasarathi Mangipudi, Anu Mehra and Monika Arora and has published in prestigious journals such as Electronics, Journal of King Saud University - Computer and Information Sciences and International Journal of Web Information Systems.

In The Last Decade

Co-authorship network of co-authors of Anupama Bhan i

Fields of papers citing papers by Anupama Bhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anupama Bhan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025