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 Multi-Objective Optimization Algorithms 6
- Co-authors
- Kanak Kalita (14 shared papers)K. Muniyappa (3 shared papers)Róbert Čep (5 shared papers)K. Muniyappa (4 shared papers)Prasun Dutta (3 shared papers)Saumen Datta (2 shared papers)Nagasuma Chandra (3 shared papers)Paras Jain (2 shared papers)
In The Last Decade
N. Ganesh
37 papers receiving 629 citations
Peers
Comparison fields: 5 of 124
- Molecular Medicine 22
- Genetics 106
- Artificial Intelligence 103
- Computational Theory and Mathematics 47
- Molecular Biology 199
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 2002 | 61 | |
| 3 | 2003 | 51 | |
| 4 | 2003 | 50 | |
| 5 | 2023 | 49 | |
| 6 | 2022 | 47 | |
| 7 | 2023 | 39 | |
| 8 | 2022 | 22 | |
| 9 | 2003 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2000 | 21 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2003 | 20 | |
| 16 | 2009 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2019 | 14 |
About N. Ganesh
N. Ganesh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Epidemiology, Mechanical Engineering and Molecular Biology, having authored 39 papers that have together received 695 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), Software Engineering Techniques and Practices (3 papers), Topology Optimization in Engineering (3 papers), Tuberculosis Research and Epidemiology (3 papers), Advanced machining processes and optimization (2 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Molecular Medicine (22 citations), Genetics (106 citations), Artificial Intelligence (103 citations), Computational Theory and Mathematics (47 citations) and Molecular Biology (199 citations). N. Ganesh has collaborated with scholars based in India, Czechia and Mexico. Frequent co-authors include Kanak Kalita, K. Muniyappa, Róbert Čep, K. Muniyappa, Prasun Dutta, Saumen Datta, Nagasuma Chandra, Paras Jain, M Ramachandran and Paolo Barsocchi. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Proteins Structure Function and Bioinformatics, IEEE Access, Journal of Bacteriology and Computers & Fluids.
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.