Chinmay Chakraborty

166 papers and 3.2k indexed citations i.

About

Chinmay Chakraborty is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Chinmay Chakraborty has authored 166 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 46 papers in Computer Networks and Communications and 33 papers in Information Systems. Recurrent topics in Chinmay Chakraborty’s work include IoT and Edge/Fog Computing (29 papers), COVID-19 diagnosis using AI (20 papers) and Blockchain Technology Applications and Security (14 papers). Chinmay Chakraborty is often cited by papers focused on IoT and Edge/Fog Computing (29 papers), COVID-19 diagnosis using AI (20 papers) and Blockchain Technology Applications and Security (14 papers). Chinmay Chakraborty collaborates with scholars based in India, China and Saudi Arabia. Chinmay Chakraborty's co-authors include Amit Kishor, Subhendu Kumar Pani, Keping Yu, Joel J. P. C. Rodrigues, Vinayakumar Ravi, Bharat Gupta, Hemanta Kumar Bhuyan, Soumya K. Ghosh, Lalit Garg and Joseph Bamidele Awotunde and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

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

Fields of papers citing papers by Chinmay Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chinmay Chakraborty

Since Specialization
Citations

This map shows the geographic impact of Chinmay 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 Chinmay Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chinmay 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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2025