Jay Prakash Singh

1.5k citations
68 papers · 1.2k · h-index 21

Impact in

Papers in

Jay Prakash Singh

63 papers receiving 1.2k citations

Peers

Jay Prakash Singh
Comparison fields: 5 of 63
  • Statistical and Nonlinear Physics 982
  • Computer Networks and Communications 581
  • Computer Vision and Pattern Recognition 262
  • Modeling and Simulation 40
  • Mathematical Physics 41
Replace Moez Feki with:
Moez Feki Tunisia
Tengfei Lei China
Lili Zhou China
Justin Roger Mboupda Pone Cameroon
Xiao‐Wen Zhao China
José-Cruz Nuñez-Pérez Mexico
Huizhen Yan China
Jiří Petržela Czechia
Victor H. Carbajal-Gomez Mexico
Jiye Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Jay Prakash Singh

Since Specialization
Citations

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

Fields of papers citing papers by Jay Prakash Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Prakash Singh. 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 Jay Prakash Singh. The network helps show where Jay Prakash Singh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201485
2 201682
3 201767
4 201754
5 201854
6 201849
7 201748
8 201747
9 201845
10 201944
11 201741
12 201737
13 201934
14 201833
15 201633
16 202033
17 201830
18 201825
19 201724
20 201824

About Jay Prakash Singh

Jay Prakash Singh is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Mathematical Physics, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chaos control and synchronization (47 papers), Quantum chaos and dynamical systems (31 papers), Nonlinear Dynamics and Pattern Formation (29 papers), Chaos-based Image/Signal Encryption (10 papers), Neural Networks Stability and Synchronization (6 papers), stochastic dynamics and bifurcation (6 papers), Neural Networks and Applications (4 papers) and Mathematical Dynamics and Fractals (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (982 citations), Computer Networks and Communications (581 citations), Computer Vision and Pattern Recognition (262 citations), Modeling and Simulation (40 citations) and Mathematical Physics (41 citations). Jay Prakash Singh has collaborated with scholars based in India, Ethiopia and Vietnam. Frequent co-authors include Binoy Krishna Roy, Karthikeyan Rajagopal, Piyush Pratap Singh, Sajad Jafari, Н. В. Кузнецов, Kshetrimayum Lochan, Anitha Karthikeyan, Makarand S. Ballal, Ravi Kumar Kanaparthi and Akif Akgül. Their work appears in journals such as Chaos Solitons & Fractals, International Journal of Bifurcation and Chaos, Nonlinear Dynamics, Optik and International Journal of Air-Conditioning and Refrigeration.

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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