S. Leo Kingston

36 total papers · 471 total citations
26 papers, 321 citations indexed

About

S. Leo Kingston is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, S. Leo Kingston has authored 26 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 14 papers in Computer Networks and Communications and 4 papers in Cognitive Neuroscience. Recurrent topics in S. Leo Kingston's work include Nonlinear Dynamics and Pattern Formation (14 papers), stochastic dynamics and bifurcation (7 papers) and Quantum chaos and dynamical systems (6 papers). S. Leo Kingston is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (14 papers), stochastic dynamics and bifurcation (7 papers) and Quantum chaos and dynamical systems (6 papers). S. Leo Kingston collaborates with scholars based in India, Poland and United Kingdom. S. Leo Kingston's co-authors include K. Thamilmaran, Tomasz Kapitaniak, Syamal K. Dana, Suresh Kumarasamy, Pinaki Pal, Ulrike Feudel, Arindam Mishra, Viet–Thanh Pham, Adel Ouannas and Subrata Ghosh and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Optics Express.

In The Last Decade

S. Leo Kingston

24 papers receiving 294 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Leo Kingston 216 176 54 33 26 26 321
Arnob Ray 237 1.1× 191 1.1× 87 1.6× 14 0.4× 43 1.7× 16 332
Thomas Bose 107 0.5× 70 0.4× 41 0.8× 32 1.0× 10 0.4× 19 316
Stefano Boccaletti 209 1.0× 198 1.1× 57 1.1× 35 1.1× 25 1.0× 17 327
Premraj Durairaj 277 1.3× 241 1.4× 122 2.3× 26 0.8× 22 0.8× 36 352
O. I. Olusola 173 0.8× 183 1.0× 23 0.4× 52 1.6× 15 0.6× 30 298
Conrad J. Pérez 152 0.7× 132 0.8× 96 1.8× 21 0.6× 69 2.7× 11 325
Kai Morino 200 0.9× 171 1.0× 121 2.2× 6 0.2× 6 0.2× 18 338
Md Sayeed Anwar 193 0.9× 266 1.5× 91 1.7× 14 0.4× 8 0.3× 22 327
Lasko Basnarkov 121 0.6× 129 0.7× 49 0.9× 5 0.2× 54 2.1× 29 356
Vasileios Basios 122 0.6× 43 0.2× 41 0.8× 40 1.2× 17 0.7× 36 275

Countries citing papers authored by S. Leo Kingston

Since Specialization
Citations

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

Fields of papers citing papers by S. Leo Kingston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Leo Kingston. 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 S. Leo Kingston. The network helps show where S. Leo Kingston may publish in the future.

Co-authorship network of co-authors of S. Leo Kingston

This figure shows the co-authorship network connecting the top 25 collaborators of S. Leo Kingston. A scholar is included among the top collaborators of S. Leo Kingston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Leo Kingston. S. Leo Kingston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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