Sagar Chakraborty

1.3k citations
63 papers · 743 indexed · h-index 13
Topics
Evolutionary Game Theory and Cooperation (18 papers)Evolution and Genetic Dynamics (15 papers)Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)
Journals
Physical Review LettersSHILAP Revista de lepidopterologíaNano Letters
Partner nations
IndiaGermanyDenmark

In The Last Decade

Sagar Chakraborty

53 papers receiving 734 citations

Peers

Sagar Chakraborty
Comparison fields: 5 of 86
  • Molecular Biology 331
  • Biomedical Engineering 238
  • Statistical and Nonlinear Physics 149
  • Computer Networks and Communications 120
  • Sociology and Political Science 81
Replace Luis Dinís with:
Luis Dinís Spain
Akinori Awazu Japan
Philip Bittihn Germany
M. J. Ward United States
Sunita Chatkaew France
Anton Peshkov United States
Yoshihisa Morita Japan
А. А. Полежаев Russia
Enkeleida Lushi United States
Daishin Ueyama Japan
Sagar Chakraborty relative to Luis Dinís Spain Luis Dinís's profile →
Citations per field
00.5×4.0×
Luis Dinís · 1×
Citations per year

Countries citing papers authored by Sagar Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Sagar Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagar Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Sagar Chakraborty. A scholar is included among the top collaborators of Sagar Chakraborty 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 Sagar Chakraborty. Sagar Chakraborty 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 6
3 2
4 0
5 1
6 3
7 0
8 0
9 11
10 21
11 33
12 5
13 0
14 11
15 47
16 2
17 2
18 3
19 1
20 12

About Sagar Chakraborty

Sagar Chakraborty is a scholar working on Statistical and Nonlinear Physics, Theoretical Computer Science and Astronomy and Astrophysics, having authored 63 papers that have together received 743 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (18 papers), Evolution and Genetic Dynamics (15 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (149 citations), Biomedical Engineering (238 citations) and Computer Networks and Communications (120 citations). Sagar Chakraborty has collaborated with scholars based in India, Germany and Denmark. Frequent co-authors include Syed Hussain Imam Abidi, Haoran Zhang, Parayil Kumaran Ajikumar, Hongjuan Liu, Gregory Stephanopoulos, Kangjian Qiao, Nicki Watson, Jayanta K. Bhattacharjee, Subhas C. Kundu and Nandana Bhardwaj. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nano Letters.

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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