Narayan Ganesan

39 total papers · 451 total citations
21 papers, 295 citations indexed

About

Narayan Ganesan is a scholar working on Molecular Biology, Artificial Intelligence and Finance. According to data from OpenAlex, Narayan Ganesan has authored 21 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Finance. Recurrent topics in Narayan Ganesan's work include Stochastic processes and financial applications (4 papers), Protein Structure and Dynamics (4 papers) and Gene Regulatory Network Analysis (3 papers). Narayan Ganesan is often cited by papers focused on Stochastic processes and financial applications (4 papers), Protein Structure and Dynamics (4 papers) and Gene Regulatory Network Analysis (3 papers). Narayan Ganesan collaborates with scholars based in United States and India. Narayan Ganesan's co-authors include Paul R. MacNeilage, Dora E. Angelaki, Tzyh‐Jong Tarn, Roger D. Chamberlain, Michela Taufer, Sandeep Patel, Hanyu Jiang, Brad A. Bauer, Jeremy Buhler and Jie Li and has published in prestigious journals such as Journal of Neurophysiology, Physical Review A and Journal of Computational Chemistry.

In The Last Decade

Narayan Ganesan

19 papers receiving 279 citations

Author Peers

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

Author Last Decade Papers Cites
Narayan Ganesan 89 68 57 55 44 21 295
Travis Johnston 54 0.6× 21 0.3× 29 0.5× 20 0.4× 6 0.1× 22 288
Damian Ledziński 33 0.4× 100 1.5× 31 0.5× 12 0.2× 6 0.1× 25 285
Aleksandr Rayshubskiy 19 0.2× 44 0.6× 94 1.6× 7 0.1× 30 0.7× 22 330
Karthi Balasubramanian 37 0.4× 73 1.1× 26 0.5× 20 0.4× 2 0.0× 38 223
Hao Yang 96 1.1× 77 1.1× 14 0.2× 30 0.5× 3 0.1× 27 259
Jianlong Zhao 46 0.5× 39 0.6× 48 0.8× 6 0.1× 19 0.4× 35 352
Felix Bach 26 0.3× 76 1.1× 14 0.2× 36 0.7× 12 0.3× 24 344
Yu Wang 137 1.5× 97 1.4× 10 0.2× 11 0.2× 3 0.1× 18 307
Dong Ping Zhang 42 0.5× 57 0.8× 16 0.3× 83 1.5× 1 0.0× 20 334
Shiwei Ye 66 0.7× 20 0.3× 62 1.1× 14 0.3× 7 0.2× 41 296

Countries citing papers authored by Narayan Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Narayan Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayan Ganesan

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