Amit Chakrabarti

57 papers and 1.1k indexed citations i.

About

Amit Chakrabarti is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Amit Chakrabarti has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Computational Theory and Mathematics and 19 papers in Computer Networks and Communications. Recurrent topics in Amit Chakrabarti’s work include Combinatorial Optimization and Complexity Theory (24 papers), Cryptography and Data Security (13 papers) and Optimization and Search Problems (9 papers). Amit Chakrabarti is often cited by papers focused on Combinatorial Optimization and Complexity Theory (24 papers), Cryptography and Data Security (13 papers) and Optimization and Search Problems (9 papers). Amit Chakrabarti collaborates with scholars based in United States, India and United Kingdom. Amit Chakrabarti's co-authors include Premamoy Ghosh, Samir K. Siddhanta, Graham Cormode, Andrew McGregor, C. M. Sorensen, Subhash Khot, Oded Regev, Xiaodong Sun, John F. Marko and G. Brown and has published in prestigious journals such as Polymer, Physical Chemistry Chemical Physics and Phytochemistry.

In The Last Decade

Co-authorship network of co-authors of Amit Chakrabarti i

Fields of papers citing papers by Amit Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amit Chakrabarti

Since Specialization
Citations

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