Rita Aggarwala
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.1%
- Safety, Risk, Reliability and Quality top 1%
- Global and Planetary Change top 5%
- Management Science and Operations Research top 5%
- Co-authors
- N. BalakrishnanMichael P. LamoureuxAbdul Hannan ChowdhuryJ.P. GrossmanGary F. MargravéCam DonaldsonVictor LunJ. Preston Wiley
- Topics
- Statistical Distribution Estimation and Applications (7 papers)Statistical Methods and Bayesian Inference (5 papers)Bayesian Methods and Mixture Models (3 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- Medicine & Science in Sports & ExerciseAmerican Mathematical MonthlyJournal of Statistical Planning and Inference
- Partner nations
- CanadaCyprusBangladesh
In The Last Decade
Rita Aggarwala
14 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Statistics and Probability 1.6k
- Statistics, Probability and Uncertainty 1.2k
- Safety, Risk, Reliability and Quality 413
- Global and Planetary Change 352
- Management Science and Operations Research 207
Countries citing papers authored by Rita Aggarwala
This map shows the geographic impact of Rita Aggarwala'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 Rita Aggarwala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Aggarwala more than expected).
Fields of papers citing papers by Rita Aggarwala
This network shows the impact of papers produced by Rita Aggarwala. 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 Rita Aggarwala. The network helps show where Rita Aggarwala may publish in the future.
Co-authorship network of co-authors of Rita Aggarwala
This figure shows the co-authorship network connecting the top 25 collaborators of Rita Aggarwala. A scholar is included among the top collaborators of Rita Aggarwala 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 Rita Aggarwala. Rita Aggarwala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 93 | |
| 9 | 10 | |
| 10 | Progressive Censoring: Theory, Methods, and Applicationsbreakdown → | 619 |
| 11 | Progressive Censoringbreakdown → | 743 |
| 12 | Efficient Portfolio Selection | 1 |
| 13 | 80 | |
| 14 | 13 | |
| 15 | 46 |
About Rita Aggarwala
Rita Aggarwala is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Hardware and Architecture, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Statistics, Probability and Uncertainty (1.2k citations) and Safety, Risk, Reliability and Quality (413 citations). Rita Aggarwala has collaborated with scholars based in Canada, Cyprus and Bangladesh. Frequent co-authors include N. Balakrishnan, N. Balakrishnan, N. Balakrishnan, Michael P. Lamoureux, Abdul Hannan Chowdhury, J.P. Grossman, Gary F. Margravé, Cam Donaldson, Victor Lun and J. Preston Wiley. Their work appears in journals such as Medicine & Science in Sports & Exercise, American Mathematical Monthly and Journal of Statistical Planning and Inference.
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.