Ranjan Sengupta

725 citations
31 papers · 332 indexed · h-index 11

Ranjan Sengupta

29 papers receiving 304 citations

Peers

Ranjan Sengupta
Comparison fields: 5 of 78
  • Cognitive Neuroscience 127
  • Nuclear and High Energy Physics 82
  • Signal Processing 47
  • Statistical and Nonlinear Physics 49
  • Experimental and Cognitive Psychology 42
Replace Xerxes D. Arsiwalla with:
Xerxes D. Arsiwalla Spain
Stefan T. Radev Germany
Michael Petrov Russia
Thomas Hoch Austria
Alessio Perinelli Italy
Archi Banerjee India
Silke Dodel France
Andrew G. Pikler United States
Ivan Dvořák Czechia
Wolfgang Frings Germany
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Citations per year

Countries citing papers authored by Ranjan Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Ranjan Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Ranjan Sengupta, 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 Ranjan Sengupta Line = papers co-authored together Ranjan Sengupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20219
2 202115
3 20206
4 20203
5 20193
6 201820
7 201610
8
Music and its Effect on Body, Brain/Mind:A Study on Indian Perspective by Neurophysical Approach
20155
9 20154
10 201547
11 19923
12 199012
13 19901
14 19891
15 198926
16 19881
17 198711
18 19871
19 19874
20 198518

About Ranjan Sengupta

Ranjan Sengupta is a scholar working on Nuclear and High Energy Physics, Anatomy, Music, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 31 papers that have together received 332 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (10 papers), Complex Systems and Time Series Analysis (10 papers), Fractal and DNA sequence analysis (8 papers), Neural dynamics and brain function (7 papers), Particle physics theoretical and experimental studies (7 papers), Nuclear physics research studies (7 papers), Chaos control and synchronization (6 papers) and Neuroscience and Music Perception (4 papers). The work is most often cited by research in Cognitive Neuroscience (127 citations), Nuclear and High Energy Physics (82 citations), Signal Processing (47 citations), Statistical and Nonlinear Physics (49 citations) and Experimental and Cognitive Psychology (42 citations). Ranjan Sengupta has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Dipak Ghosh, Archi Banerjee, Shankha Sanyal, J. Roy, Kaushik Banerjee, Sayan Nag, Partha Ghose, A. Mukhopadhyay, Kaushik Sengupta and Asoke Kumar Datta. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Nuclear Physics A, The European Physical Journal A, Physical Review Letters and Chaos Solitons & Fractals.

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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