Anandhavalli Muniasamy

12 papers and 118 indexed citations i.

About

Anandhavalli Muniasamy is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anandhavalli Muniasamy has authored 12 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anandhavalli Muniasamy’s work include AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Online Learning and Analytics (2 papers). Anandhavalli Muniasamy is often cited by papers focused on AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Online Learning and Analytics (2 papers). Anandhavalli Muniasamy collaborates with scholars based in Saudi Arabia and India. Anandhavalli Muniasamy's co-authors include Areej Alasiry and Gauthaman Karunakaran and has published in prestigious journals such as Cancers, Multimedia Tools and Applications and Biomedicines.

In The Last Decade

Co-authorship network of co-authors of Anandhavalli Muniasamy i

Fields of papers citing papers by Anandhavalli Muniasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anandhavalli Muniasamy

Since Specialization
Citations

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