G. Madhu

23 papers and 248 indexed citations i.

About

G. Madhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. Madhu has authored 23 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. Madhu’s work include Digital Imaging for Blood Diseases (7 papers), Smart Agriculture and AI (4 papers) and COVID-19 diagnosis using AI (4 papers). G. Madhu is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), Smart Agriculture and AI (4 papers) and COVID-19 diagnosis using AI (4 papers). G. Madhu collaborates with scholars based in India, Saudi Arabia and Egypt. G. Madhu's co-authors include V. Lakshmana Gomathi Nayagam, V. R. Renjith, A. Govardhan, Sandeep Kautish, Ali Wagdy Mohamed, B. Srinivas, Manoj Kumar, Mohd Asif Shah, Kshira Sagar Sahoo and N. Z. Jhanjhi and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Sensors.

In The Last Decade

Co-authorship network of co-authors of G. Madhu i

Fields of papers citing papers by G. Madhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Madhu

Since Specialization
Citations

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