Ranjini Natarajan
- Statistics and Probability top 1%
- Agronomy and Crop Science top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Epidemiology
- Co-authors
- Jane PendergastRamon C. LittellRobert E. KassCharles E. McCullochAlan AgrestiThomas J. MeyerMark R. PressmanF. Dennis McCool
- Topics
- Statistical Methods and Bayesian Inference (13 papers)Statistical Methods and Inference (6 papers)Statistical Methods in Clinical Trials (4 papers)
- Journals
- Journal of the American Statistical AssociationAmerican Journal of Respiratory and Critical Care MedicineBiometrics
- Partner nations
- United States
In The Last Decade
Ranjini Natarajan
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Statistics and Probability 408
- Agronomy and Crop Science 156
- Artificial Intelligence 142
- Economics and Econometrics 140
- Epidemiology 135
Countries citing papers authored by Ranjini Natarajan
This map shows the geographic impact of Ranjini Natarajan'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 Ranjini Natarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjini Natarajan more than expected).
Fields of papers citing papers by Ranjini Natarajan
This network shows the impact of papers produced by Ranjini Natarajan. 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 Ranjini Natarajan. The network helps show where Ranjini Natarajan may publish in the future.
Co-authorship network of co-authors of Ranjini Natarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjini Natarajan. A scholar is included among the top collaborators of Ranjini Natarajan 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 Ranjini Natarajan. Ranjini Natarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 142 | |
| 5 | 79 | |
| 6 | Modelling covariance structure in the analysis of repeated measures databreakdown → | 783 |
| 7 | 16 | |
| 8 | 28 | |
| 9 | 27 | |
| 10 | TUTORIAL IN BIOSTATISTICS: MODELLING COVARIANCE STRUCTURE IN THE ANALYSIS OF REPEATED MEASURES DATA | 78 |
| 11 | 31 | |
| 12 | 23 | |
| 13 | 24 | |
| 14 | 65 | |
| 15 | 92 | |
| 16 | 7 | |
| 17 | 51 | |
| 18 | Chi-square Approximations in Unbalanced Analysis of Variance | 1 |
| 19 | Maximum likelihood for the multinomial probit model | 20 |
| 20 | 2 |
About Ranjini Natarajan
Ranjini Natarajan is a scholar working on Statistics and Probability, Management Science and Operations Research and Virology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Statistics and Probability (408 citations), Agronomy and Crop Science (156 citations) and Equine (21 citations). Ranjini Natarajan has collaborated with scholars based in United States. Frequent co-authors include Jane Pendergast, Ramon C. Littell, Robert E. Kass, Charles E. McCulloch, Alan Agresti, Thomas J. Meyer, Mark R. Pressman, F. Dennis McCool, Joshua O. Benditt and Richard P. Millman. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Respiratory and Critical Care Medicine 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.