Narayan Ganesan

452 total citations
21 papers, 296 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 296 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 Protein Structure and Dynamics (4 papers), Stochastic processes and financial applications (4 papers) and Machine Learning in Bioinformatics (3 papers). Narayan Ganesan is often cited by papers focused on Protein Structure and Dynamics (4 papers), Stochastic processes and financial applications (4 papers) and Machine Learning in Bioinformatics (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 280 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Narayan Ganesan United States 9 90 68 57 55 44 21 296
Irina Fedulova Russia 9 119 1.3× 98 1.4× 84 1.5× 5 0.1× 14 0.3× 13 417
Ginés D. Guerrero Spain 9 27 0.3× 130 1.9× 133 2.3× 14 0.3× 5 0.1× 21 442
Wai Teng Tang Singapore 13 61 0.7× 19 0.3× 22 0.4× 10 0.2× 65 1.5× 22 444
Xuhang Chen China 12 73 0.8× 23 0.3× 13 0.2× 24 0.4× 5 0.1× 35 295
Shiwei Ye China 10 67 0.7× 20 0.3× 63 1.1× 14 0.3× 7 0.2× 41 304
Gurmohan Singh India 10 63 0.7× 24 0.4× 10 0.2× 10 0.2× 85 1.9× 34 354
Dong‐Gi Lee South Korea 10 38 0.4× 5 0.1× 46 0.8× 9 0.2× 7 0.2× 33 252
Anand D. Darji India 13 35 0.4× 37 0.5× 23 0.4× 4 0.1× 33 0.8× 72 457
Hugues Benoit-Cattin France 8 35 0.4× 19 0.3× 14 0.2× 17 0.3× 9 0.2× 18 330

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

20 of 20 papers shown
1.
Ganesan, Narayan, et al.. (2023). Backward Deep BSDE Methods and Applications to Nonlinear Problems. Risks. 11(3). 61–61. 2 indexed citations
2.
Ganesan, Narayan, et al.. (2022). CALIBRATING LOCAL VOLATILITY MODELS WITH STOCHASTIC DRIFT AND DIFFUSION. International Journal of Theoretical and Applied Finance. 25(2). 1 indexed citations
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Ganesan, Narayan, et al.. (2022). Pricing barrier options with deep backward stochastic differential equation methods. The Journal of Computational Finance. 3 indexed citations
5.
Ganesan, Narayan, et al.. (2020). Backward Deep BSDE Methods and Applications to Nonlinear Problems. SSRN Electronic Journal. 2 indexed citations
6.
Jiang, Hanyu, Narayan Ganesan, & Yudong Yao. (2018). CUDAMPF++: A Proactive Resource Exhaustion Scheme for Accelerating Homologous Sequence Search on CUDA-Enabled GPU. IEEE Transactions on Parallel and Distributed Systems. 29(10). 2206–2222. 3 indexed citations
7.
Jiang, Hanyu & Narayan Ganesan. (2016). CUDAMPF: a multi-tiered parallel framework for accelerating protein sequence search in HMMER on CUDA-enabled GPU. BMC Bioinformatics. 17(1). 106–106. 11 indexed citations
8.
Jiang, Hanyu & Narayan Ganesan. (2015). Fine-Grained Acceleration of HMMER 3.0 via Architecture-Aware Optimization on Massively Parallel Processors. 375–383. 4 indexed citations
9.
Ganesan, Narayan, Jie Li, Vishakha Sharma, Hanyu Jiang, & Adriana Compagnoni. (2015). Process Simulation of Complex Biological Pathways in Physical Reactive Space and Reformulated for Massively Parallel Computing Platforms. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 13(2). 365–379. 4 indexed citations
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Ganesan, Narayan, et al.. (2011). Structural, dynamic, and electrostatic properties of fully hydrated DMPC bilayers from molecular dynamics simulations accelerated with graphical processing units (GPUs). Journal of Computational Chemistry. 32(14). 2958–2973. 21 indexed citations
13.
Ganesan, Narayan, Michela Taufer, Brad A. Bauer, & Sandeep Patel. (2011). FENZI: GPU-Enabled Molecular Dynamics Simulations of Large Membrane Regions Based on the CHARMM Force Field and PME. 472–480. 11 indexed citations
14.
Ganesan, Narayan, Roger D. Chamberlain, & Jeremy Buhler. (2011). Acceleration of Binomial Options Pricing via Parallelizing along time-axis on a GPU. 3 indexed citations
15.
Ganesan, Narayan, et al.. (2010). Application of Neural Networks in Diagnosing Cancer Disease using Demographic Data. International Journal of Computer Applications. 1(26). 81–97. 73 indexed citations
16.
Ganesan, Narayan, Roger D. Chamberlain, Jeremy Buhler, & Michela Taufer. (2010). Accelerating HMMER on GPUs by implementing hybrid data and task parallelism. 418–421. 12 indexed citations
17.
Chamberlain, Roger D. & Narayan Ganesan. (2009). Sorting on architecturally diverse computer systems. 39–46. 18 indexed citations
18.
MacNeilage, Paul R., Narayan Ganesan, & Dora E. Angelaki. (2008). Computational Approaches to Spatial Orientation: From Transfer Functions to Dynamic Bayesian Inference. Journal of Neurophysiology. 100(6). 2981–2996. 81 indexed citations
19.
Ganesan, Narayan & Tzyh‐Jong Tarn. (2007). Decoherence control in open quantum systems via classical feedback. Physical Review A. 75(3). 30 indexed citations
20.
Tarn, Tzyh‐Jong & Narayan Ganesan. (2006). Feedback Control of Decoherence in Quantum Mechanical Systems. 2006 SICE-ICASE International Joint Conference. 1844–1847.

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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