Alexandre Lacasse

About

Alexandre Lacasse is a scholar working on Artificial Intelligence, Statistics and Probability and Industrial relations. According to data from OpenAlex, Alexandre Lacasse has authored 2 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Statistics and Probability and 0 papers in Industrial relations. Recurrent topics in Alexandre Lacasse’s work include Machine Learning and Algorithms (2 papers), Statistical Methods and Inference (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). Alexandre Lacasse is often cited by papers focused on Machine Learning and Algorithms (2 papers), Statistical Methods and Inference (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). Alexandre Lacasse collaborates with scholars based in Canada. Alexandre Lacasse's co-authors include Mario Marchand, François Laviolette and Pascal Germain and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Alexandre Lacasse i

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Fields of papers citing papers by Alexandre Lacasse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexandre Lacasse

Since Specialization

Citations

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