Saurav Talukdar

29 papers and 233 indexed citations i.

About

Saurav Talukdar is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Saurav Talukdar has authored 29 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Saurav Talukdar’s work include Advanced Thermodynamics and Statistical Mechanics (6 papers), stochastic dynamics and bifurcation (4 papers) and Neural Networks and Applications (4 papers). Saurav Talukdar is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (6 papers), stochastic dynamics and bifurcation (4 papers) and Neural Networks and Applications (4 papers). Saurav Talukdar collaborates with scholars based in United States, India and United Kingdom. Saurav Talukdar's co-authors include Murti V. Salapaka, Deepjyoti Deka, Michael Chertkov, Mangal Prakash, Donatello Materassi, Bokan Chen, James Melbourne, Ana Radovanović, Walfredo Cirne and Patrick C. K. Hung and has published in prestigious journals such as IEEE Transactions on Information Theory, Automatica and IEEE Transactions on Power Systems.

In The Last Decade

Co-authorship network of co-authors of Saurav Talukdar i

Fields of papers citing papers by Saurav Talukdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saurav Talukdar

Since Specialization
Citations

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