Gopalan Nair
- Applied Mathematics top 2%
- Statistics and Probability top 5%
- Geometry and Topology top 5%
- Environmental Engineering top 10%
- Economics and Econometrics top 10%
- Co-authors
- Adrian BaddeleySuman RakshitRobin K. MilneThomas Joseph LawrenceP. K. PollettPeter J. DiggleTimothy C. BrownQ. W. Ang
- Topics
- Point processes and geometric inequalities (17 papers)Morphological variations and asymmetry (10 papers)Soil Geostatistics and Mapping (6 papers)
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Gopalan Nair
35 papers receiving 695 citations
Peers
Comparison fields: 5 of 117
- Applied Mathematics 275
- Statistics and Probability 113
- Geometry and Topology 105
- Environmental Engineering 86
- Economics and Econometrics 86
Countries citing papers authored by Gopalan Nair
This map shows the geographic impact of Gopalan Nair'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 Gopalan Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopalan Nair more than expected).
Fields of papers citing papers by Gopalan Nair
This network shows the impact of papers produced by Gopalan Nair. 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 Gopalan Nair. The network helps show where Gopalan Nair may publish in the future.
Co-authorship network of co-authors of Gopalan Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Gopalan Nair. A scholar is included among the top collaborators of Gopalan Nair 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 Gopalan Nair. Gopalan Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 51 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 11 | |
| 8 | 28 | |
| 9 | Stochastic Volatility Model with Burr Distribution Error: Evidence from Australian Stock Returns | 0 |
| 10 | 49 | |
| 11 | 3 | |
| 12 | 158 | |
| 13 | Bayesian State Space Modeling for Spatio-Temporal Rainfall Disaggregation | 4 |
| 14 | 9 | |
| 15 | Acute Tonsillitis With Concurrent Kikuchi's Disease as a Cause of Persistent Lymphadenopathy. | 1 |
| 16 | 47 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 9 |
About Gopalan Nair
Gopalan Nair is a scholar working on Applied Mathematics, Geometry and Topology and Statistics and Probability, having authored 38 papers that have together received 724 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (17 papers), Morphological variations and asymmetry (10 papers) and Soil Geostatistics and Mapping (6 papers). The work is most often cited by research in Applied Mathematics (275 citations), Statistics and Probability (113 citations) and Geometry and Topology (105 citations). Gopalan Nair has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Adrian Baddeley, Suman Rakshit, Robin K. Milne, Thomas Joseph Lawrence, P. K. Pollett, Peter J. Diggle, Timothy C. Brown, Q. W. Ang, Tilman M. Davies and Aruna Jammalamadaka. Their work appears in journals such as Ecological Monographs, Journal of Statistical Software and Computers & Geosciences.
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.