Narayan Ganesan

455 citations
23 papers · 332 · h-index 9

Impact in

Papers in

    • Protein Structure and Dynamics 5
    • Gene Regulatory Network Analysis 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Quantum Computing Algorithms and Architecture 3
    • Quantum Information and Cryptography 3

Narayan Ganesan

20 papers receiving 313 citations

Peers

Narayan Ganesan
Comparison fields: 5 of 87
  • Neurology 61
  • Hardware and Architecture 38
  • Health Information Management 22
  • Cognitive Neuroscience 65
  • Artificial Intelligence 100
Replace Vivek Parmar with:
Vivek Parmar India
Irina Fedulova Russia
Sanjeev Tannirkulam Chandrasekaran United States
Hugues Benoit-Cattin France
Yizhao Gao Hong Kong
Hongwu Jiang United States
Gurmohan Singh India
Alireza Zaeemzadeh United States
Narayan Ganesan relative to Vivek Parmar India Vivek Parmar's profile →
Citations per field
00.5×8.7×
Vivek Parmar · 1×
Citations per year

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-authors

The 15 scholars most cited alongside Narayan Ganesan, 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 Narayan Ganesan Line = papers co-authored together Narayan Ganesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 200887
3 200732
4 201121
5 200919
6 201016
7 201612
8 201212
9 201111
10 20127
11 20155
12 20154
13 20184
14
Acceleration of Binomial Options Pricing via Parallelizing along time-axis on a GPU
20113
15 20223
16 20232
17 20202
18 20142
19 20221
20 20141

About Narayan Ganesan

Narayan Ganesan is a scholar working on Molecular Biology, Artificial Intelligence, Finance, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 23 papers that have together received 332 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Stochastic processes and financial applications (4 papers), Gene Regulatory Network Analysis (4 papers), Quantum Mechanics and Applications (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Quantum Information and Cryptography (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Neurology (61 citations), Hardware and Architecture (38 citations), Health Information Management (22 citations), Cognitive Neuroscience (65 citations) and Artificial Intelligence (100 citations). Narayan Ganesan has collaborated with scholars based in United States and India. Frequent co-authors include Dora E. Angelaki, Paul R. MacNeilage, Tzyh‐Jong Tarn, Roger D. Chamberlain, Michela Taufer, Sandeep Patel, Hanyu Jiang, Brad A. Bauer, Jeremy Buhler and Adriana Compagnoni. Their work appears in journals such as BMC Bioinformatics, Journal of Computational Chemistry, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Computing in Science & Engineering and The Journal of Computational Finance.

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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