Martin Bilodeau
- Statistics and Probability top 2%
- Artificial Intelligence
- Finance top 10%
- Statistics, Probability and Uncertainty top 5%
- Management Science and Operations Research top 10%
- Co-authors
- David J. BrennerPierre Lafaye de MicheauxPierre DuchesneTakeaki KariyaMuni S. SrivastavaRudolf BeranPierre LegendreDaniel Boisclair
- Topics
- Advanced Statistical Methods and Models (13 papers)Statistical Methods and Inference (12 papers)Statistical Distribution Estimation and Applications (8 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Martin Bilodeau
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 239
- Artificial Intelligence 78
- Finance 60
- Statistics, Probability and Uncertainty 44
- Management Science and Operations Research 42
Countries citing papers authored by Martin Bilodeau
This map shows the geographic impact of Martin Bilodeau'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 Martin Bilodeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Bilodeau more than expected).
Fields of papers citing papers by Martin Bilodeau
This network shows the impact of papers produced by Martin Bilodeau. 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 Martin Bilodeau. The network helps show where Martin Bilodeau may publish in the future.
Co-authorship network of co-authors of Martin Bilodeau
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Bilodeau. A scholar is included among the top collaborators of Martin Bilodeau 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 Martin Bilodeau. Martin Bilodeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tests of Mutual or Serial Independence of Random Vectors with Applications | 7 |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 25 | |
| 6 | 29 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 152 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 70 | |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 3 |
About Martin Bilodeau
Martin Bilodeau is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 26 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (12 papers) and Statistical Distribution Estimation and Applications (8 papers). The work is most often cited by research in Statistics and Probability (239 citations), Statistics, Probability and Uncertainty (44 citations) and Finance (60 citations). Martin Bilodeau has collaborated with scholars based in Canada, France and United States. Frequent co-authors include David J. Brenner, Pierre Lafaye de Micheaux, Pierre Duchesne, Takeaki Kariya, Muni S. Srivastava, Rudolf Beran, Pierre Legendre, Daniel Boisclair and Guillaume Guénard. Their work appears in journals such as Ecology, Journal of Statistical Software and Journal of Machine Learning Research.
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.