Raja P. Velu
- Statistics and Probability top 1%
- Economics and Econometrics top 5%
- Finance top 5%
- General Economics, Econometrics and Finance top 5%
- Artificial Intelligence top 10%
- Co-authors
- Gregory C. ReinselPaolo ParuoloDean W. WichernGuofu ZhouSanjay DixitNanda R. ShresthaAllan S. JaffeDennis Conway
- Topics
- Statistical Methods and Inference (8 papers)Advanced Statistical Methods and Models (6 papers)Statistical Methods and Bayesian Inference (4 papers)
- Cited by
- Statistics and ProbabilityComputational MathematicsGeneral Economics, Econometrics and Finance
- Partner nations
- United StatesLatviaGermany
In The Last Decade
Raja P. Velu
34 papers receiving 744 citations
Peers
Comparison fields: 5 of 109
- Statistics and Probability 287
- Economics and Econometrics 169
- Finance 120
- General Economics, Econometrics and Finance 103
- Artificial Intelligence 95
Countries citing papers authored by Raja P. Velu
This map shows the geographic impact of Raja P. Velu'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 Raja P. Velu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raja P. Velu more than expected).
Fields of papers citing papers by Raja P. Velu
This network shows the impact of papers produced by Raja P. Velu. 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 Raja P. Velu. The network helps show where Raja P. Velu may publish in the future.
Co-authorship network of co-authors of Raja P. Velu
This figure shows the co-authorship network connecting the top 25 collaborators of Raja P. Velu. A scholar is included among the top collaborators of Raja P. Velu 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 Raja P. Velu. Raja P. Velu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Commonality: A longitudinal study | 0 |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | Partially reduced-rank multivariate regression models | 2 |
| 8 | 47 | |
| 9 | 62 | |
| 10 | 37 | |
| 11 | 24 | |
| 12 | 159 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 5 |
About Raja P. Velu
Raja P. Velu is a scholar working on Statistics and Probability, Marketing and Management Science and Operations Research, having authored 36 papers that have together received 807 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (6 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (287 citations), Computational Mathematics (9 citations) and General Economics, Econometrics and Finance (103 citations). Raja P. Velu has collaborated with scholars based in United States, Latvia and Germany. Frequent co-authors include Gregory C. Reinsel, Paolo Paruolo, Dean W. Wichern, Guofu Zhou, Sanjay Dixit, Nanda R. Shrestha, Allan S. Jaffe, Dennis Conway, Charles J. Hodge and Neil H. Timm. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.