Sonali Parbhoo

810 citations
9 papers · 242 indexed · h-index 5
Topics
Machine Learning in Healthcare (6 papers)Explainable Artificial Intelligence (XAI) (3 papers)Bayesian Methods and Mixture Models (2 papers)

In The Last Decade

Sonali Parbhoo

8 papers receiving 235 citations

Peers

Sonali Parbhoo
Comparison fields: 5 of 71
  • Artificial Intelligence 174
  • Computer Vision and Pattern Recognition 22
  • Health Informatics 22
  • Radiology, Nuclear Medicine and Imaging 18
  • Epidemiology 16
Replace Skyler Speakman with:
Skyler Speakman United States
Sergey Feldman United States
Omar Mohd Rijal Malaysia
Elisa Nguyen Netherlands
Kelwin Fernandes Portugal
Thomas Hartvigsen United States
Karthik V. Sarma United States
M. Todd Young United States
André Carrington Canada
Sayma Alam Suha Bangladesh
Sonali Parbhoo relative to Skyler Speakman United States Skyler Speakman's profile →
Citations per field
00.5×4.5×
Skyler Speakman · 1×
Citations per year

Countries citing papers authored by Sonali Parbhoo

Since Specialization
Citations

This map shows the geographic impact of Sonali Parbhoo'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 Sonali Parbhoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonali Parbhoo more than expected).

Fields of papers citing papers by Sonali Parbhoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonali Parbhoo. 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 Sonali Parbhoo. The network helps show where Sonali Parbhoo may publish in the future.

Co-authorship network of co-authors of Sonali Parbhoo

This figure shows the co-authorship network connecting the top 25 collaborators of Sonali Parbhoo. A scholar is included among the top collaborators of Sonali Parbhoo 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 Sonali Parbhoo. Sonali Parbhoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning.
0
2 11
3 33
4 18
5 4
6 2
7 136
8 37
9 1

About Sonali Parbhoo

Sonali Parbhoo is a scholar working on Statistics and Probability, Artificial Intelligence and Virology, having authored 9 papers that have together received 242 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (174 citations) and Health Information Management (15 citations). Sonali Parbhoo has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Volker Röth, Finale Doshi‐Velez, Maurizio Zazzi, Mike Wu, Michael Hughes, Jasmina Bogojeska, Leo Anthony Celi, Markus Höfer, Jürgen Hetzel and Bernhard Schölkopf. Their work appears in journals such as PLoS ONE, Journal of Artificial Intelligence Research and Entropy.

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
2026