Chantal D. Larose

About

Chantal D. Larose is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Chantal D. Larose has authored 3 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistics and Probability. Recurrent topics in Chantal D. Larose’s work include Trauma and Emergency Care Studies (1 paper), Advanced Statistical Methods and Models (1 paper) and Spinal Cord Injury Research (1 paper). Chantal D. Larose is often cited by papers focused on Trauma and Emergency Care Studies (1 paper), Advanced Statistical Methods and Models (1 paper) and Spinal Cord Injury Research (1 paper). Chantal D. Larose collaborates with scholars based in United States and United Kingdom. Chantal D. Larose's co-authors include Dipak K. Dey, Katarzyna Kordas, Ofer Harel, Alan M. Jette, Daniel T. Larose, Mary D. Slavin, Bethlyn Houlihan, David Rosenblum, S. Seetharama and Dipak Dey and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, Statistica Sinica and Statistical Methodology.

In The Last Decade

Co-authorship network of co-authors of Chantal D. Larose i

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Fields of papers citing papers by Chantal D. Larose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chantal D. Larose. 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 Chantal D. Larose. The network helps show where Chantal D. Larose may publish in the future.

Countries citing papers authored by Chantal D. Larose

Since Specialization

Citations

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