P. A. Subha

590 citations
41 papers · 478 · h-index 13

Impact in

Papers in

P. A. Subha

41 papers receiving 461 citations

Peers

P. A. Subha
Comparison fields: 5 of 39
  • Statistical and Nonlinear Physics 389
  • Atomic and Molecular Physics, and Optics 230
  • Cognitive Neuroscience 132
  • Computer Networks and Communications 89
  • Renewable Energy, Sustainability and the Environment 29
Replace Johannes Christoph with:
Johannes Christoph Germany
Konrad Schönleber Germany
Romain Martinenghi France
Mahesh Wickramasinghe United States
Riccardo Rao Luxembourg
K.‐P. Zeyer Germany
Mario Mulansky Germany
Limeng Zhang China
I. Kh. Kaufman United Kingdom
P. A. Subha relative to Johannes Christoph Germany Johannes Christoph's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. A. Subha

Since Specialization
Citations

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

Fields of papers citing papers by P. A. Subha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. A. Subha. 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 P. A. Subha. The network helps show where P. A. Subha may publish in the future.

Co-authors

The 14 scholars most cited alongside P. A. Subha, 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 P. A. Subha Line = papers co-authored together P. A. Subha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201951
3 202349
4 201722
5 201919
6 200717
7 201516
8 201715
9 201815
10 200714
11 201614
12 201713
13 202213
14 201412
15 201612
16 201812
17 202212
18 201811
19 201511
20 201810

About P. A. Subha

P. A. Subha is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 41 papers that have together received 478 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (24 papers), Nonlinear Waves and Solitons (22 papers), Quantum Mechanics and Non-Hermitian Physics (13 papers), Advanced Fiber Laser Technologies (10 papers), Neural dynamics and brain function (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), stochastic dynamics and bifurcation (7 papers) and Quantum Dots Synthesis And Properties (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (389 citations), Atomic and Molecular Physics, and Optics (230 citations), Cognitive Neuroscience (132 citations), Computer Networks and Communications (89 citations) and Renewable Energy, Sustainability and the Environment (29 citations). P. A. Subha has collaborated with scholars based in India, Saudi Arabia and France. Frequent co-authors include K. Nithyanandan, V. C. Kuriakose, Mohd. Shkir, M. Aslam Manthrammel, Chandroth P. Jisha, S. AlFaify, Kuyyadi P. Biju, K. Porsezian, P. Tchofo Dinda and S. Sahayanathan. Their work appears in journals such as Journal of Modern Optics, International Journal of Modern Physics C, Optik, Monthly Notices of the Royal Astronomical Society and Nonlinear Dynamics.

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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