Éric Marchand
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Co-authors
- William E. StrawdermanMohammad Jafari JozaniAhmad ParsianFrançois PerronT. Pham‐GiaN. TurkkanJafar AhmadiAnthony B. Pinkerton
- Topics
- Statistical Distribution Estimation and Applications (33 papers)Statistical Methods and Inference (32 papers)Statistical Methods and Bayesian Inference (22 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaThe Annals of StatisticsThe American Statistician
- Partner nations
- CanadaUnited StatesIran
In The Last Decade
Éric Marchand
61 papers receiving 621 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 471
- Statistics, Probability and Uncertainty 163
- Artificial Intelligence 114
- Management Science and Operations Research 86
- Control and Systems Engineering 49
Countries citing papers authored by Éric Marchand
This map shows the geographic impact of Éric Marchand'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 Éric Marchand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Marchand more than expected).
Fields of papers citing papers by Éric Marchand
This network shows the impact of papers produced by Éric Marchand. 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 Éric Marchand. The network helps show where Éric Marchand may publish in the future.
Co-authorship network of co-authors of Éric Marchand
This figure shows the co-authorship network connecting the top 25 collaborators of Éric Marchand. A scholar is included among the top collaborators of Éric Marchand 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 Éric Marchand. Éric Marchand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 74 | |
| 14 | 42 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 3 |
About Éric Marchand
Éric Marchand is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 66 papers that have together received 656 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (33 papers), Statistical Methods and Inference (32 papers) and Statistical Methods and Bayesian Inference (22 papers). The work is most often cited by research in Statistics and Probability (471 citations), Statistics, Probability and Uncertainty (163 citations) and Management Science and Operations Research (86 citations). Éric Marchand has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include William E. Strawderman, Mohammad Jafari Jozani, Ahmad Parsian, François Perron, T. Pham‐Gia, N. Turkkan, Jafar Ahmadi, Anthony B. Pinkerton, K.L. Lo and Brenda MacGibbon. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and The American Statistician.
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.