Jean‐François Angers
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Management Science and Operations Research
- Co-authors
- Alain DesgagnéAtanu BiswasJacques Le LorierMax MignotteFrançois DestrempesChristian P. RobertJames O. BergerMohan Delampady
- Topics
- Statistical Methods and Bayesian Inference (9 papers)Advanced Statistical Methods and Models (9 papers)Bayesian Methods and Mixture Models (7 papers)
- Cited by
- Statistics and ProbabilityEconomics and EconometricsManagement Science and Operations Research
In The Last Decade
Jean‐François Angers
34 papers receiving 397 citations
Peers
Comparison fields: 5 of 120
- Economics and Econometrics 114
- Statistics and Probability 112
- Computer Vision and Pattern Recognition 50
- Artificial Intelligence 49
- Management Science and Operations Research 38
Countries citing papers authored by Jean‐François Angers
This map shows the geographic impact of Jean‐François Angers'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 Jean‐François Angers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐François Angers more than expected).
Fields of papers citing papers by Jean‐François Angers
This network shows the impact of papers produced by Jean‐François Angers. 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 Jean‐François Angers. The network helps show where Jean‐François Angers may publish in the future.
Co-authorship network of co-authors of Jean‐François Angers
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Angers. A scholar is included among the top collaborators of Jean‐François Angers 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 Jean‐François Angers. Jean‐François Angers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | BAYESIAN NONPARAMETRIC REGRESSION USING WAVELETS | 1 |
| 2 | HIERARCHICAL BAYESIAN CURVE FITTING AND MODEL CHOICE FOR SPATIAL DATA | 1 |
| 3 | 5 | |
| 4 | Conflicting information and location parameter inference | 6 |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 28 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 56 | |
| 14 | P-credence and outliersl | 2 |
| 15 | 145 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | Insensitivity to Partial Prior Model Misspecification in a Bayesian Approach to the Estimation of Intra-Block Exchangeable Normal Means with Applications | 0 |
| 20 | 1 |
About Jean‐François Angers
Jean‐François Angers is a scholar working on Statistics and Probability, Management Science and Operations Research and Signal Processing, having authored 39 papers that have together received 416 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (9 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistics and Probability (112 citations), Economics and Econometrics (114 citations) and Management Science and Operations Research (38 citations). Jean‐François Angers has collaborated with scholars based in Canada, India and Taiwan. Frequent co-authors include Alain Desgagné, Atanu Biswas, Jacques Le Lorier, Max Mignotte, François Destrempes, Christian P. Robert, James O. Berger, Mohan Delampady, Georges Dionne and Denise Desjardins. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Climate.
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.