Rita Aggarwala

11 papers and 920 indexed citations i.

About

Rita Aggarwala is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Rita Aggarwala has authored 11 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Rita Aggarwala’s work include Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Bayesian Methods and Mixture Models (3 papers). Rita Aggarwala is often cited by papers focused on Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Bayesian Methods and Mixture Models (3 papers). Rita Aggarwala collaborates with scholars based in Canada and Bangladesh. Rita Aggarwala's co-authors include N. Balakrishnan, N. Balakrishnan, N. Balakrishnan, Michael P. Lamoureux, Abdul Hannan Chowdhury, Victor Lun, Teri L. Yanagawa, J. Preston Wiley and Cam Donaldson and has published in prestigious journals such as Medicine & Science in Sports & Exercise, American Mathematical Monthly and Journal of Statistical Planning and Inference.

In The Last Decade

Co-authorship network of co-authors of Rita Aggarwala i

Fields of papers citing papers by Rita Aggarwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Rita Aggarwala

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025