Chloé Pou-Prom

39 total papers · 699 total citations
21 papers, 313 citations indexed

About

Chloé Pou-Prom is a scholar working on Artificial Intelligence, Epidemiology and Internal Medicine. According to data from OpenAlex, Chloé Pou-Prom has authored 21 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Epidemiology and 3 papers in Internal Medicine. Recurrent topics in Chloé Pou-Prom's work include Machine Learning in Healthcare (9 papers), Sepsis Diagnosis and Treatment (5 papers) and Topic Modeling (4 papers). Chloé Pou-Prom is often cited by papers focused on Machine Learning in Healthcare (9 papers), Sepsis Diagnosis and Treatment (5 papers) and Topic Modeling (4 papers). Chloé Pou-Prom collaborates with scholars based in Canada, United States and United Kingdom. Chloé Pou-Prom's co-authors include Serena Jeblee, Christopher Meaney, Frank Rudzicz, Mohamed Abdalla, Stefania Raimondo, Muhammad Mamdani, Amol A. Verma, Michael Fralick, David Dai and Fahad Razak and has published in prestigious journals such as PLoS ONE, Neurology and Diabetes.

In The Last Decade

Chloé Pou-Prom

20 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Chloé Pou-Prom 172 60 39 38 36 21 313
Ruth Reeves 99 0.6× 89 1.5× 14 0.4× 43 1.1× 26 0.7× 29 315
Meghan R. Hutch 131 0.8× 33 0.6× 7 0.2× 52 1.4× 65 1.8× 11 358
Yannis Haralambous 115 0.7× 13 0.2× 105 2.7× 23 0.6× 50 1.4× 28 342
Lianting Hu 71 0.4× 38 0.6× 17 0.4× 17 0.4× 26 0.7× 35 335
Fengyi Tang 156 0.9× 26 0.4× 13 0.3× 50 1.3× 15 0.4× 17 291
Romain Billot 100 0.6× 13 0.2× 126 3.2× 23 0.6× 52 1.4× 11 352
Deok-Hee Kim-Dufor 98 0.6× 14 0.2× 105 2.7× 23 0.6× 50 1.4× 7 298
Yaara Goldschmidt 132 0.8× 53 0.9× 11 0.3× 22 0.6× 46 1.3× 15 337
Brihat Sharma 103 0.6× 26 0.4× 14 0.4× 38 1.0× 57 1.6× 21 309
Jackson Steinkamp 89 0.5× 42 0.7× 18 0.5× 37 1.0× 60 1.7× 23 329

Countries citing papers authored by Chloé Pou-Prom

Since Specialization
Citations

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

Fields of papers citing papers by Chloé Pou-Prom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chloé Pou-Prom. 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 Chloé Pou-Prom. The network helps show where Chloé Pou-Prom may publish in the future.

Co-authorship network of co-authors of Chloé Pou-Prom

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

All Works

Loading papers...

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