Prajoy Podder

44 papers and 1.0k indexed citations i.

About

Prajoy Podder is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prajoy Podder has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prajoy Podder’s work include COVID-19 diagnosis using AI (16 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Prajoy Podder is often cited by papers focused on COVID-19 diagnosis using AI (16 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Prajoy Podder collaborates with scholars based in Bangladesh, United States and India. Prajoy Podder's co-authors include Subrato Bharati, M. Rubaiyat Hossain Mondal, V. B. Surya Prasath, Tanvir Zaman Khan, Aditya Khamparia, Dang N. H. Thanh, Deepak Gupta, Ashish Khanna, Md Junayed Hasan and Joarder Kamruzzaman and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Prajoy Podder i

Fields of papers citing papers by Prajoy Podder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prajoy Podder

Since Specialization
Citations

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