Canelle Poirier

10 papers and 311 indexed citations i.

About

Canelle Poirier is a scholar working on Epidemiology, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Canelle Poirier has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Modeling and Simulation and 3 papers in Artificial Intelligence. Recurrent topics in Canelle Poirier’s work include Data-Driven Disease Surveillance (7 papers), COVID-19 epidemiological studies (7 papers) and Anomaly Detection Techniques and Applications (3 papers). Canelle Poirier is often cited by papers focused on Data-Driven Disease Surveillance (7 papers), COVID-19 epidemiological studies (7 papers) and Anomaly Detection Techniques and Applications (3 papers). Canelle Poirier collaborates with scholars based in United States, France and Italy. Canelle Poirier's co-authors include Mauricio Santillana, Dianbo Liu, Todd A. Mooring, Wei Luo, Kenneth D. Mandl, Maimuna S. Majumder, Matteo Chinazzi, Alessandro Vespignani, Leonardo Clemente and Jessica T. Davis and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Advances.

In The Last Decade

Co-authorship network of co-authors of Canelle Poirier i

Fields of papers citing papers by Canelle Poirier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Canelle Poirier

Since Specialization
Citations

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

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2025