Govindan Rangarajan
- Cognitive Neuroscience top 2%
- Statistical and Nonlinear Physics top 1%
- Economics and Econometrics top 2%
- Molecular Biology
- Computer Networks and Communications top 5%
- Co-authors
- Mingzhou DingMukeshwar DhamalaDhananjay A. SantJianfeng FengYonghong ChenXiaotong WenFilippo NeriRobert D. Ryne
- Topics
- Quantum chaos and dynamical systems (13 papers)Numerical methods for differential equations (11 papers)Nonlinear Waves and Solitons (10 papers)
- Partner nations
- IndiaUnited StatesRussia
In The Last Decade
Govindan Rangarajan
80 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 162
- Cognitive Neuroscience 953
- Statistical and Nonlinear Physics 676
- Economics and Econometrics 376
- Molecular Biology 370
- Computer Networks and Communications 369
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 of co-authors of Govindan Rangarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Govindan Rangarajan. A scholar is included among the top collaborators of Govindan Rangarajan 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 Govindan Rangarajan. Govindan Rangarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 23 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 42 | |
| 7 | 20 | |
| 8 | 37 | |
| 9 | 4 | |
| 10 | 98 | |
| 11 | 72 | |
| 12 | 274 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | 83 | |
| 16 | 29 | |
| 17 | 64 | |
| 18 | 7 | |
| 19 | Onset of climate change at Last Glacial-Holocene transition: Role of the tropical Pacific | 4 |
| 20 | 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) and Nonlinear Waves and Solitons (10 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 Chemical Reviews, Physical Review Letters and PLoS ONE.
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.