Aruna Bhat

47 papers and 178 indexed citations i.

About

Aruna Bhat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Aruna Bhat has authored 47 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Aruna Bhat’s work include Advanced Image Processing Techniques (7 papers), COVID-19 diagnosis using AI (6 papers) and Face and Expression Recognition (6 papers). Aruna Bhat is often cited by papers focused on Advanced Image Processing Techniques (7 papers), COVID-19 diagnosis using AI (6 papers) and Face and Expression Recognition (6 papers). Aruna Bhat collaborates with scholars based in India. Aruna Bhat's co-authors include Nishant Singh, Mukesh Kumar Barua, Santosh Rangnekar, Saurabh Mittal, Moin Ahmed, Aman Gupta, Alok Kumar Pandey, Vivek Bansal, Nitin Kumar Sahu and Vaibhav Kumar Varshney and has published in prestigious journals such as Multimedia Tools and Applications, Journal of Management Development and International Journal of Information Security.

In The Last Decade

Co-authorship network of co-authors of Aruna Bhat i

Fields of papers citing papers by Aruna Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aruna Bhat

Since Specialization
Citations

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