Saurav Talukdar

24 papers receiving 250 citations

Hit Papers

Carbon-Aware Computing for Datacenters20222026202320242022255075100

Peers

Saurav Talukdar
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 98
  • Computer Networks and Communications 93
  • Information Systems 59
  • Control and Systems Engineering 36
  • Statistical and Nonlinear Physics 33
Replace Chengwei Wang with:
Chengwei Wang United States
Paul Almasan Spain
Yanxiang Huang Belgium
Murtaza Ahmed Siddiqi South Korea
Amer A. Sallam Yemen
Muhammad Haseeb Arshad Saudi Arabia
Vesal Hakami Iran
Jiaomin Liu China
Wei‐Tsong Lee Taiwan
Saurav Talukdar relative to Chengwei Wang United States Chengwei Wang's profile →
Citations per field
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Chengwei Wang · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3
Carbon-Aware Computing for Datacentersbreakdown →
114
4 38
5 12
6 3
7
Analyzing effect of Imperfections on the Landauer's Bound
2
8 4
9 6
10 7
11 9
12 15
13 3
14 2
15 2
16 1
17 2
18 14
19
Serum progesterone profile during oestrous cycle in goat treated with different doses of HCG
1
20 10

About Saurav Talukdar

Saurav Talukdar is a scholar working on Statistical and Nonlinear Physics, Automotive Engineering and Reproductive Medicine, having authored 25 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (6 papers), stochastic dynamics and bifurcation (4 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (93 citations), Statistical and Nonlinear Physics (33 citations) and Information Systems (59 citations). Saurav Talukdar has collaborated with scholars based in United States, India and Mexico. Frequent co-authors include Murti V. Salapaka, Deepjyoti Deka, Michael Chertkov, Ana Radovanović, Patrick C. K. Hung, Maya Haridasan, Walfredo Cirne, Ian Schneider, Bokan Chen and Donatello Materassi. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

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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