Varalakshmi Perumal

24 papers and 210 indexed citations i.

About

Varalakshmi Perumal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Varalakshmi Perumal has authored 24 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Varalakshmi Perumal’s work include COVID-19 diagnosis using AI (6 papers), Asphalt Pavement Performance Evaluation (4 papers) and Infrastructure Maintenance and Monitoring (4 papers). Varalakshmi Perumal is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Asphalt Pavement Performance Evaluation (4 papers) and Infrastructure Maintenance and Monitoring (4 papers). Varalakshmi Perumal collaborates with scholars based in India and United States. Varalakshmi Perumal's co-authors include V. Vaidehi, R. Venkatesan, K. Narasimhan, Gaurav Jaswal and Varun Dutt and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Computer Methods and Programs in Biomedicine and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Varalakshmi Perumal i

Fields of papers citing papers by Varalakshmi Perumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Varalakshmi Perumal

Since Specialization
Citations

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