N. Ganesh
Impact in
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- Bacterial Genetics and Biotechnology
Papers in
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- Metaheuristic Optimization Algorithms Research 7
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- Advanced Neural Network Applications 3
- Co-authors
- Kanak Kalita (14 shared papers)K. Muniyappa (3 shared papers)Róbert Čep (5 shared papers)K. Muniyappa (4 shared papers)Nagasuma Chandra (3 shared papers)Prasun Dutta (3 shared papers)Saumen Datta (2 shared papers)Paras Jain (2 shared papers)
- Journals
- Computer Modeling in Engineering & Sciences (3 papers)Proteins Structure Function and Bioinformatics (2 papers)IEEE Access (2 papers)Communications in Computational Physics (1 paper)Engineering With Computers (1 paper)
- Partner nations
- IndiaCzechiaUnited States
In The Last Decade
N. Ganesh
40 papers receiving 694 citations
Peers
Comparison fields: 5 of 123
- Genetics 112
- Molecular Medicine 19
- Health Information Management 15
- Artificial Intelligence 110
- Molecular Biology 210
Countries citing papers authored by N. Ganesh
This map shows the geographic impact of N. Ganesh'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 N. Ganesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Ganesh more than expected).
Fields of papers citing papers by N. Ganesh
This network shows the impact of papers produced by N. Ganesh. 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 N. Ganesh. The network helps show where N. Ganesh may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Ganesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2002 | 64 | |
| 3 | 2023 | 57 | |
| 4 | 2003 | 56 | |
| 5 | 2003 | 55 | |
| 6 | 2022 | 49 | |
| 7 | 2023 | 43 | |
| 8 | 2022 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2003 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2000 | 21 | |
| 15 | 2003 | 20 | |
| 16 | 2023 | 17 | |
| 17 | 2009 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2020 | 16 |
About N. Ganesh
N. Ganesh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Epidemiology and Mechanical Engineering, having authored 43 papers that have together received 759 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Mycobacterium research and diagnosis (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Model Reduction and Neural Networks (4 papers), Software Engineering Techniques and Practices (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Genetics (112 citations), Molecular Medicine (19 citations), Health Information Management (15 citations), Artificial Intelligence (110 citations) and Molecular Biology (210 citations). N. Ganesh has collaborated with scholars based in India, Czechia and United States. Frequent co-authors include Kanak Kalita, K. Muniyappa, Róbert Čep, K. Muniyappa, Nagasuma Chandra, Prasun Dutta, Saumen Datta, Paras Jain, Amitava Choudhury and M Ramachandran. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Proteins Structure Function and Bioinformatics, IEEE Access, Communications in Computational Physics and Engineering With Computers.
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.