Sitabhra Sinha

2.2k citations
83 papers · 1.3k · h-index 21

Impact in

    • Complex Network Analysis Techniques
    • stochastic dynamics and bifurcation
    • Opinion Dynamics and Social Influence
    • Chaos control and synchronization
  • Aging top 5%

Papers in

Sitabhra Sinha

78 papers receiving 1.3k citations

Peers

Sitabhra Sinha
Comparison fields: 5 of 123
  • Statistical and Nonlinear Physics 580
  • Aging 42
  • Computer Networks and Communications 365
  • Economics and Econometrics 391
  • Cognitive Neuroscience 237
Replace Huijie Yang with:
Huijie Yang China
Annick Lesne France
Tobias Galla United Kingdom
Conrad J. Pérez-Vicente Spain
Khashayar Pakdaman France
E. C. Zeeman United Kingdom
Marko Marhl Slovenia
Jörn Davidsen Canada
Jonathan Touboul France
Miguel Fuentes United States
Sitabhra Sinha relative to Huijie Yang China Huijie Yang's profile →
Citations per field
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Huijie Yang · 1×
Citations per year

Countries citing papers authored by Sitabhra Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Sitabhra Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sitabhra Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sitabhra Sinha Line = papers co-authored together Sitabhra Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007125
2 200186
3 200584
4 200773
5 200761
6 201053
7 200450
8 200749
9 201045
10 200540
11 199839
12 200739
13 200235
14 200730
15 201029
16 200729
17 200328
18 200225
19 201121
20 201221

About Sitabhra Sinha

Sitabhra Sinha is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Economics and Econometrics and Molecular Biology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (19 papers), Complex Network Analysis Techniques (19 papers), Neural dynamics and brain function (17 papers), Complex Systems and Time Series Analysis (16 papers), Opinion Dynamics and Social Influence (15 papers), stochastic dynamics and bifurcation (9 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (580 citations), Aging (42 citations), Computer Networks and Communications (365 citations), Economics and Econometrics (391 citations) and Cognitive Neuroscience (237 citations). Sitabhra Sinha has collaborated with scholars based in India, France and United States. Frequent co-authors include Raj Kumar Pan, Rahul Pandit, Nivedita Chatterjee, Sudeshna Sinha, Kimmo Kaski, Jari Saramäki, S. Sridhar, Bikas K. Chakrabarti, Shakti N. Menon and David J. Christini. Their work appears in journals such as Physical review. E, Physica A Statistical Mechanics and its Applications, Europhysics Letters (EPL), PLoS ONE and PLoS Computational Biology.

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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