Vaibhav Arora

9 papers and 304 indexed citations i.

About

Vaibhav Arora is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vaibhav Arora has authored 9 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vaibhav Arora’s work include COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers) and HIV, Drug Use, Sexual Risk (2 papers). Vaibhav Arora is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers) and HIV, Drug Use, Sexual Risk (2 papers). Vaibhav Arora collaborates with scholars based in India, United States and Canada. Vaibhav Arora's co-authors include Utkarsh Sinha, Soumya Ranjan Nayak, Deepak Ranjan Nayak, Ram Bilas Pachori, Ramesh Chandra Poonia, Janmenjoy Nayak, Suresh Chandra Satapathy, Uttam Ghosh, Gabriela Csurka and Jérôme Revaud and has published in prestigious journals such as Biomedical Signal Processing and Control, AIDS Patient Care and STDs and Arabian Journal for Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Vaibhav Arora i

Fields of papers citing papers by Vaibhav Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vaibhav Arora

Since Specialization
Citations

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