Govindan Rangarajan
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- Quantum chaos and dynamical systems 13
- Nonlinear Waves and Solitons 10
- Chaos control and synchronization 10
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 8
- Modeling and Simulation top 2%
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- Nonlinear Dynamics and Pattern Formation 10
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis 9
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- Numerical methods for differential equations 11
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- Neural Networks and Applications 8
Govindan Rangarajan
80 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 162
- Statistical and Nonlinear Physics 676
- Cognitive Neuroscience 953
- Modeling and Simulation 121
- Computer Networks and Communications 369
- Economics and Econometrics 376
Countries citing papers authored by Govindan Rangarajan
This map shows the geographic impact of Govindan Rangarajan'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 Govindan Rangarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Govindan Rangarajan more than expected).
Fields of papers citing papers by Govindan Rangarajan
This network shows the impact of papers produced by Govindan Rangarajan. 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 Govindan Rangarajan. The network helps show where Govindan Rangarajan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Govindan Rangarajan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 23 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 10 | |
| 5 | 2016 | 5 | |
| 6 | 2015 | 42 | |
| 7 | 2014 | 20 | |
| 8 | 2014 | 37 | |
| 9 | 2013 | 4 | |
| 10 | 2013 | 98 | |
| 11 | 2009 | 72 | |
| 12 | 2008 | 274 | |
| 13 | 2007 | 6 | |
| 14 | 2007 | 15 | |
| 15 | 2007 | 83 | |
| 16 | 2006 | 29 | |
| 17 | 2003 | 64 | |
| 18 | 2003 | 7 | |
| 19 | Onset of climate change at Last Glacial-Holocene transition: Role of the tropical Pacific | 2002 | 4 |
| 20 | 1999 | 18 |
About Govindan Rangarajan
Govindan Rangarajan is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Modeling and Simulation, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (13 papers), Numerical methods for differential equations (11 papers), Nonlinear Waves and Solitons (10 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Chaos control and synchronization (10 papers), Complex Systems and Time Series Analysis (9 papers), Neural dynamics and brain function (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (676 citations), Cognitive Neuroscience (953 citations) and Modeling and Simulation (121 citations). Govindan Rangarajan has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Mingzhou Ding, Mukeshwar Dhamala, Dhananjay A. Sant, Jianfeng Feng, Yonghong Chen, Xiaotong Wen, Filippo Neri, Robert D. Ryne, Prakash Kulkarni and Yonghong Chen. Their work appears in journals such as Physics Letters A, Physical Review Letters, Scientific Reports, Geophysical Research Letters and Biological Cybernetics.
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.