Rita Aggarwala

34 total papers · 2.0k total citations
16 papers, 1.6k citations indexed

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 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 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 (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (3 papers). Rita Aggarwala is often cited by papers focused on Statistical Distribution Estimation and Applications (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (3 papers). Rita Aggarwala collaborates with scholars based in Canada, Cyprus and Bangladesh. Rita Aggarwala's co-authors include N. Balakrishnan, N. Balakrishnan, N. Balakrishnan, Michael P. Lamoureux, Abdul Hannan Chowdhury, Gary F. Margravé, J.P. Grossman, Min Tsao, Cam Donaldson and Victor Lun 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

Rita Aggarwala

15 papers receiving 1.6k citations

Hit Papers

Progressive Censoring 2000 2026 2008 2017 2000 2000 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rita Aggarwala 1.6k 1.2k 412 352 206 16 1.6k
N. Balakrishnan 1.5k 1.0× 1.2k 1.0× 406 1.0× 333 0.9× 217 1.1× 18 1.6k
G. S. Mudholkar 877 0.6× 629 0.5× 236 0.6× 168 0.5× 88 0.4× 10 1.3k
Benjamin Epstein 1.3k 0.8× 763 0.6× 467 1.1× 107 0.3× 277 1.3× 47 2.1k
Chin‐Diew Lai 1.2k 0.8× 720 0.6× 445 1.1× 225 0.6× 246 1.2× 31 1.7k
Ammar M. Sarhan 1.0k 0.7× 774 0.6× 543 1.3× 114 0.3× 105 0.5× 73 1.3k
Ayman Alzaatreh 1.8k 1.1× 1.2k 1.0× 219 0.5× 555 1.6× 206 1.0× 77 2.0k
Essam K. AL-Hussaini 1.3k 0.8× 882 0.7× 330 0.8× 196 0.6× 121 0.6× 56 1.3k
Mário de Castro 1.4k 0.9× 587 0.5× 109 0.3× 250 0.7× 232 1.1× 71 1.6k
Udo Kamps 2.2k 1.4× 1.6k 1.3× 490 1.2× 381 1.1× 369 1.8× 112 2.4k
Artur J. Lemonte 2.0k 1.3× 1.0k 0.8× 341 0.8× 345 1.0× 181 0.9× 113 2.2k

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).

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.

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

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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.

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