Supriyo Chakraborty

25 papers and 600 indexed citations i.

About

Supriyo Chakraborty is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Science Applications. According to data from OpenAlex, Supriyo Chakraborty has authored 25 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 4 papers in Computer Science Applications. Recurrent topics in Supriyo Chakraborty’s work include Privacy-Preserving Technologies in Data (8 papers), Adversarial Robustness in Machine Learning (5 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Supriyo Chakraborty is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Adversarial Robustness in Machine Learning (5 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Supriyo Chakraborty collaborates with scholars based in United States, United Kingdom and Türkiye. Supriyo Chakraborty's co-authors include Mani Srivastava, Moustafa Alzantot, Alun Preece, Richard Tomsett, Prudhvi Gurram, Dave Braines, Federico Cerutti, Seraphin Calo, Arjun Nitin Bhagoji and Prateek Mittal and has published in prestigious journals such as IBM Journal of Research and Development, Computer Networks and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Supriyo Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Supriyo Chakraborty

Since Specialization
Citations

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