Subinay Dasgupta

1.2k citations
43 papers · 859 indexed · 1 hit paper · h-index 12
Topics
Theoretical and Computational Physics (14 papers)Quantum many-body systems (11 papers)Stochastic processes and statistical mechanics (6 papers)
Partner nations
IndiaGermanyFrance

In The Last Decade

Subinay Dasgupta

38 papers receiving 812 citations

Hit Papers

Small-world properties of the Indian railway network20032026201020182003100200300

Peers

Subinay Dasgupta
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 383
  • Atomic and Molecular Physics, and Optics 220
  • Transportation 124
  • Artificial Intelligence 121
  • Materials Chemistry 109
Replace P. A. Sreeram with:
P. A. Sreeram India
Da-Ren He China
Doochul Kim South Korea
K. Kułakowski Poland
Macoto Kikuchi Japan
Seung Ki Baek South Korea
G. J. Rodgers United Kingdom
Marija Mitrović Dankulov Serbia
Yu‐Cheng Lin Taiwan
Subinay Dasgupta relative to P. A. Sreeram India P. A. Sreeram's profile →
Citations per field
00.5×3.5×
P. A. Sreeram · 1×
Citations per year

Countries citing papers authored by Subinay Dasgupta

Since Specialization
Citations

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

Fields of papers citing papers by Subinay Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subinay Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Subinay Dasgupta. A scholar is included among the top collaborators of Subinay Dasgupta 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 Subinay Dasgupta. Subinay Dasgupta 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 56
5 1
6 16
7 1
8 0
9 20
10 78
11 17
12
Small-world properties of the Indian railway networkbreakdown →
393
13 13
14 3
15 3
16 2
17 0
18 2
19 3
20 4

About Subinay Dasgupta

Subinay Dasgupta is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Mathematical Physics, having authored 43 papers that have together received 859 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (14 papers), Quantum many-body systems (11 papers) and Stochastic processes and statistical mechanics (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (383 citations), Transportation (124 citations) and Condensed Matter Physics (99 citations). Subinay Dasgupta has collaborated with scholars based in India, Germany and France. Frequent co-authors include Parongama Sen, Arnab Chatterjee, S. S. Manna, P. A. Sreeram, G. Mukherjee, Abhishek Dhar, Arnab Das, C. Pettiford, J. Lou and S. D. Yoon. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

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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