S. Parthasarathy

70 total papers · 786 total citations
45 papers, 577 citations indexed

About

S. Parthasarathy is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, S. Parthasarathy has authored 45 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Statistical and Nonlinear Physics and 9 papers in Computer Networks and Communications. Recurrent topics in S. Parthasarathy's work include Quantum chaos and dynamical systems (10 papers), Machine Learning in Bioinformatics (10 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). S. Parthasarathy is often cited by papers focused on Quantum chaos and dynamical systems (10 papers), Machine Learning in Bioinformatics (10 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). S. Parthasarathy collaborates with scholars based in India, United States and Thailand. S. Parthasarathy's co-authors include Somdatta Sinha, M. Lakshmanan, Nita Parekh, A. Venkatesan, S. Rajasekar, Suresh Venkateswaran, Ashok Kumar, Suresh Chandra Das, Twahira Begum and Tassos Bountis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

S. Parthasarathy

44 papers receiving 553 citations

Author Peers

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

Author						Papers	Cites
S. Parthasarathy	246	204	113	77	59	45	577
Francesca Di Patti	294 1.2×	309 1.5×	233 2.1×	59 0.8×	73 1.2×	32	694
David Iron	146 0.6×	337 1.7×	108 1.0×	212 2.8×	56 0.9×	33	631
Iram Gléria	216 0.9×	50 0.2×	39 0.3×	117 1.5×	83 1.4×	57	581
Limin Zhang	104 0.4×	120 0.6×	58 0.5×	185 2.4×	108 1.8×	35	498
Markus Kirkilionis	66 0.3×	48 0.2×	150 1.3×	210 2.7×	159 2.7×	23	630
Lei Zhao	45 0.2×	42 0.2×	97 0.9×	31 0.4×	152 2.6×	47	548
Rohanin Ahmad	108 0.4×	53 0.3×	29 0.3×	221 2.9×	107 1.8×	35	654
Chang‐Yuan Cheng	265 1.1×	382 1.9×	17 0.2×	108 1.4×	70 1.2×	31	644
Keli Yang	202 0.8×	110 0.5×	250 2.2×	18 0.2×	23 0.4×	51	641
Hans H. Diebner	61 0.2×	34 0.2×	49 0.4×	288 3.7×	88 1.5×	42	514

Countries citing papers authored by S. Parthasarathy

Since Specialization

Citations

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

Fields of papers citing papers by S. Parthasarathy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Parthasarathy

This figure shows the co-authorship network connecting the top 25 collaborators of S. Parthasarathy. A scholar is included among the top collaborators of S. Parthasarathy 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. Parthasarathy. S. Parthasarathy 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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