Saurav Talukdar

88 total papers · 485 total citations
25 papers, 260 citations indexed

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 25 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 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 Vehicle Dynamics and Control Systems (3 papers). Saurav Talukdar is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (6 papers), stochastic dynamics and bifurcation (4 papers) and Vehicle Dynamics and Control Systems (3 papers). Saurav Talukdar collaborates with scholars based in United States, India and Mexico. Saurav Talukdar's co-authors include Murti V. Salapaka, Deepjyoti Deka, Michael Chertkov, Bokan Chen, Maya Haridasan, Ana Radovanović, Patrick C. K. Hung, Ian Schneider, Walfredo Cirne and Donatello Materassi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Saurav Talukdar

24 papers receiving 245 citations

Hit Papers

Carbon-Aware Computing fo... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saurav Talukdar 98 91 57 35 33 25 260
Xiang Zuo 59 0.6× 122 1.3× 46 0.8× 20 0.6× 24 0.7× 27 274
Chengwei Wang 93 0.9× 221 2.4× 69 1.2× 36 1.0× 23 0.7× 18 323
Anett Schülke 68 0.7× 45 0.5× 22 0.4× 29 0.8× 30 0.9× 24 210
Xiaoyu Yang 76 0.8× 38 0.4× 50 0.9× 17 0.5× 45 1.4× 26 306
Yann Labit 84 0.9× 166 1.8× 29 0.5× 78 2.2× 6 0.2× 23 288
Weihong Huang 79 0.8× 85 0.9× 78 1.4× 16 0.5× 9 0.3× 26 306
Zeqing Li 95 1.0× 77 0.8× 23 0.4× 16 0.5× 5 0.2× 13 195
Muhammad Haseeb Arshad 89 0.9× 76 0.8× 15 0.3× 47 1.3× 14 0.4× 19 268
Benjamin Anderson 75 0.8× 47 0.5× 56 1.0× 50 1.4× 5 0.2× 18 183
Marta Chinnici 50 0.5× 51 0.6× 56 1.0× 17 0.5× 18 0.5× 29 214

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).

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.

Co-authorship network of co-authors of Saurav Talukdar

This figure shows the co-authorship network connecting the top 25 collaborators of Saurav Talukdar. A scholar is included among the top collaborators of Saurav Talukdar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saurav Talukdar. Saurav Talukdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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