Federico J. O'Reilly
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Finance
- Co-authors
- C. P. QuesenberryMichael A. StephensRichard LockhartPaul W. MielkeSantiago Rincón-GallardoC. VillegasEduardo Gutiérrez‐PeñaCristina Martinez
- Topics
- Statistical Distribution Estimation and Applications (20 papers)Advanced Statistical Methods and Models (14 papers)Statistical Methods and Bayesian Inference (10 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- TechnometricsBiometrikaJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- MexicoCanadaCosta Rica
In The Last Decade
Federico J. O'Reilly
32 papers receiving 264 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 213
- Statistics, Probability and Uncertainty 85
- Artificial Intelligence 75
- Management Science and Operations Research 39
- Finance 27
Countries citing papers authored by Federico J. O'Reilly
This map shows the geographic impact of Federico J. O'Reilly'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 Federico J. O'Reilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico J. O'Reilly more than expected).
Fields of papers citing papers by Federico J. O'Reilly
This network shows the impact of papers produced by Federico J. O'Reilly. 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 Federico J. O'Reilly. The network helps show where Federico J. O'Reilly may publish in the future.
Co-authorship network of co-authors of Federico J. O'Reilly
This figure shows the co-authorship network connecting the top 25 collaborators of Federico J. O'Reilly. A scholar is included among the top collaborators of Federico J. O'Reilly 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 Federico J. O'Reilly. Federico J. O'Reilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | Two-envelope paradox | 0 |
| 10 | 2 | |
| 11 | Statistical inference for mixtures of distributions for censored data with partial identification | 1 |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | 26 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | On goodness-of-fit tests based on Rao-Blackwell distribution function estimators | 2 |
About Federico J. O'Reilly
Federico J. O'Reilly is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 34 papers that have together received 292 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (20 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Bayesian Inference (10 papers). The work is most often cited by research in Statistics and Probability (213 citations), Statistics, Probability and Uncertainty (85 citations) and Management Science and Operations Research (39 citations). Federico J. O'Reilly has collaborated with scholars based in Mexico, Canada and Costa Rica. Frequent co-authors include C. P. Quesenberry, Michael A. Stephens, Richard Lockhart, Paul W. Mielke, Santiago Rincón-Gallardo, C. Villegas, Eduardo Gutiérrez‐Peña, Cristina Martinez and Susana Gómez. Their work appears in journals such as Technometrics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.