Sovon Chakraborty

About

Sovon Chakraborty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sovon Chakraborty has authored 18 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sovon Chakraborty’s work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Face recognition and analysis (2 papers). Sovon Chakraborty is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Face recognition and analysis (2 papers). Sovon Chakraborty collaborates with scholars based in Bangladesh, India and China. Sovon Chakraborty's co-authors include F. M. Javed Mehedi Shamrat, Md. Masum Billah, Asif Karim, Sami Azam, Shamima Akter, Mubashir Imran, Obaidur Rahman, Zarrin Tasnim, Md. Saidul Islam and Mohammod Abul Kashem and has published in prestigious journals such as Biology, International Journal of Advanced Computer Science and Applications and International Journal of Information Technology.

In The Last Decade

Co-authorship network of co-authors of Sovon Chakraborty i

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Fields of papers citing papers by Sovon Chakraborty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sovon Chakraborty

Since Specialization

Citations

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