Anindya De

36 papers and 252 indexed citations i.

About

Anindya De is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Anindya De has authored 36 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Anindya De’s work include Machine Learning and Algorithms (19 papers), Combinatorial Optimization and Complexity Theory (14 papers) and Markov Chains and Monte Carlo Methods (6 papers). Anindya De is often cited by papers focused on Machine Learning and Algorithms (19 papers), Combinatorial Optimization and Complexity Theory (14 papers) and Markov Chains and Monte Carlo Methods (6 papers). Anindya De collaborates with scholars based in United States, India and United Kingdom. Anindya De's co-authors include Rocco A. Servedio, Thomas Vidick, Ilias Diakonikolas, Renato Renner, Christopher Portmann, Ryan O’Donnell, Ramprasad Saptharishi, Vitaly Feldman, Thomas Watson and Chandan Saha and has published in prestigious journals such as Journal of the ACM, IEEE Transactions on Power Delivery and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Anindya De i

Fields of papers citing papers by Anindya De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anindya De

Since Specialization
Citations

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