G. Manjunath
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
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- Chaos control and synchronization
- Model Reduction and Neural Networks
Papers in
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- Neural Networks and Reservoir Computing 5
- Neural Networks and Applications 4
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- Chaos control and synchronization 4
- Co-authors
- Herbert Jaeger (2 shared papers)G. V. Anand (4 shared papers)G. Shobha (1 shared paper)Nagasuma Chandra (3 shared papers)J. Rajan Prabu (3 shared papers)K. Muniyappa (3 shared papers)B. T. Sampath Kumar (1 shared paper)M. Vijayan (3 shared papers)
- Journals
- Neural Computation (2 papers)Physica D Nonlinear Phenomena (2 papers)Structure (1 paper)Dynamical Systems (1 paper)Biochemistry (1 paper)
- Partner nations
- IndiaSouth AfricaFrance
In The Last Decade
G. Manjunath
30 papers receiving 365 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 176
- Statistical and Nonlinear Physics 57
- Cognitive Neuroscience 61
- Signal Processing 21
- Information Systems and Management 12
Countries citing papers authored by G. Manjunath
This map shows the geographic impact of G. Manjunath'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 G. Manjunath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Manjunath more than expected).
Fields of papers citing papers by G. Manjunath
This network shows the impact of papers produced by G. Manjunath. 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 G. Manjunath. The network helps show where G. Manjunath may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Manjunath, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 145 | |
| 2 | 2019 | 38 | |
| 3 | 2007 | 36 | |
| 4 | 2003 | 30 | |
| 5 | 2023 | 19 | |
| 6 | 2013 | 14 | |
| 7 | 2011 | 11 | |
| 8 | 2008 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2010 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2010 | 5 | |
| 16 | 2012 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2017 | 3 |
About G. Manjunath
G. Manjunath is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology and Mathematical Physics, having authored 32 papers that have together received 379 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (5 papers), Chaos control and synchronization (4 papers), Neural Networks and Applications (4 papers), Mathematical Dynamics and Fractals (4 papers), Mycobacterium research and diagnosis (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Neural dynamics and brain function (3 papers) and Wireless Networks and Protocols (2 papers). The work is most often cited by research in Artificial Intelligence (176 citations), Statistical and Nonlinear Physics (57 citations), Cognitive Neuroscience (61 citations), Signal Processing (21 citations) and Information Systems and Management (12 citations). G. Manjunath has collaborated with scholars based in India, South Africa and France. Frequent co-authors include Herbert Jaeger, G. V. Anand, G. Shobha, Nagasuma Chandra, J. Rajan Prabu, K. Muniyappa, B. T. Sampath Kumar, M. Vijayan, R. Krishna and Saumen Datta. Their work appears in journals such as Neural Computation, Physica D Nonlinear Phenomena, Structure, Dynamical Systems and Biochemistry.
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.