Chandan Chakraborty

148 papers and 6.2k indexed citations i.

About

Chandan Chakraborty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chandan Chakraborty has authored 148 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 32 papers in Molecular Biology. Recurrent topics in Chandan Chakraborty’s work include AI in cancer detection (25 papers), Oral Health Pathology and Treatment (19 papers) and Digital Imaging for Blood Diseases (17 papers). Chandan Chakraborty is often cited by papers focused on AI in cancer detection (25 papers), Oral Health Pathology and Treatment (19 papers) and Digital Imaging for Blood Diseases (17 papers). Chandan Chakraborty collaborates with scholars based in India, Canada and United States. Chandan Chakraborty's co-authors include Peeyush K. Lala, Monjoy Saha, Roshan Joy Martis, Timothy McKinnon, Ajoy Kumar Ray, U. Rajendra Acharya, Kayapanda Mandana, Guoxiong Xu, Dev Kumar Das and Lorraine Jadeski and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Chandan Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chandan Chakraborty

Since Specialization
Citations

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