Deb Shankar Ray

2.8k citations
172 papers · 2.3k · h-index 27

Impact in

Papers in

Deb Shankar Ray

168 papers receiving 2.3k citations

Peers

Deb Shankar Ray
Comparison fields: 5 of 82
  • Statistical and Nonlinear Physics 1.5k
  • Computer Networks and Communications 791
  • Atomic and Molecular Physics, and Optics 991
  • Modeling and Simulation 73
  • Condensed Matter Physics 99
Replace J. Łuczka with:
J. Łuczka Poland
Horacio S. Wio Argentina
Valery Petrov United States
A. Fuliński Poland
Igor Goychuk Germany
Giovanni Giacomelli Italy
M. Malek Mansour Belgium
Hugo Touchette United Kingdom
M. I. Dykman United States
Kazuo Kitahara Japan
Deb Shankar Ray relative to J. Łuczka Poland J. Łuczka's profile →
Citations per field
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J. Łuczka · 1×
Citations per year

Countries citing papers authored by Deb Shankar Ray

Since Specialization
Citations

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

Fields of papers citing papers by Deb Shankar Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deb Shankar Ray. 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 Deb Shankar Ray. The network helps show where Deb Shankar Ray may publish in the future.

Co-authors

The 25 scholars most cited alongside Deb Shankar Ray, 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 Deb Shankar Ray Line = papers co-authored together Deb Shankar Ray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 201161
3 200157
4 201051
5 201047
6 200445
7 201344
8 198844
9 200243
10 198642
11 200541
12 200538
13 200335
14 200933
15 201232
16 200731
17 201930
18 200030
19 200229
20 199829

About Deb Shankar Ray

Deb Shankar Ray is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Molecular Biology and Artificial Intelligence, having authored 172 papers that have together received 2.3k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (81 papers), Nonlinear Dynamics and Pattern Formation (71 papers), Spectroscopy and Quantum Chemical Studies (65 papers), Advanced Thermodynamics and Statistical Mechanics (53 papers), Quantum Information and Cryptography (16 papers), Quantum chaos and dynamical systems (16 papers), Quantum optics and atomic interactions (15 papers) and Cold Atom Physics and Bose-Einstein Condensates (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Computer Networks and Communications (791 citations), Atomic and Molecular Physics, and Optics (991 citations), Modeling and Simulation (73 citations) and Condensed Matter Physics (99 citations). Deb Shankar Ray has collaborated with scholars based in India, Japan and Israel. Frequent co-authors include Bidhan Chandra Bag, Syed Shahed Riaz, Debasish Mondal, Suman Kumar Banik, Pulak K. Ghosh, Sandip Kar, Gautam Gangopadhyay, Shyamolina Ghosh, Pushpita Ghosh and Debashis Barik. Their work appears in journals such as The Journal of Chemical Physics, Physical review. E, Physics Letters A, Physical Review A and The European Physical Journal 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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