José M. Bernardo
- Statistics and Probability top 0.1%
- Artificial Intelligence top 1%
- Statistics, Probability and Uncertainty top 0.2%
- Management Science and Operations Research top 1%
- Economics and Econometrics top 2%
- Co-authors
- A. F. M. SmithJames O. BergerDongchu SunR. D. LevineM. TribusD. V. LindleyJosé M. RamónMorris H. DeGroot
- Topics
- Statistical Methods and Bayesian Inference (17 papers)Advanced Statistical Methods and Models (12 papers)Bayesian Modeling and Causal Inference (11 papers)
- Partner nations
- SpainUnited StatesMexico
In The Last Decade
José M. Bernardo
58 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Statistics and Probability 1.9k
- Artificial Intelligence 1.3k
- Statistics, Probability and Uncertainty 694
- Management Science and Operations Research 659
- Economics and Econometrics 378
Countries citing papers authored by José M. Bernardo
This map shows the geographic impact of José M. Bernardo'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 José M. Bernardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Bernardo more than expected).
Fields of papers citing papers by José M. Bernardo
This network shows the impact of papers produced by José M. Bernardo. 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 José M. Bernardo. The network helps show where José M. Bernardo may publish in the future.
Co-authorship network of co-authors of José M. Bernardo
This figure shows the co-authorship network connecting the top 25 collaborators of José M. Bernardo. A scholar is included among the top collaborators of José M. Bernardo 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 José M. Bernardo. José M. Bernardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 69 | |
| 3 | 29 | |
| 4 | 21 | |
| 5 | Bayesian statistics 8 : proceedings of the Eighth Valencia International Meeting, June 2-6, 2006 | 3 |
| 6 | 4 | |
| 7 | Objective Bayesian point and region estimation in location-scale models | 6 |
| 8 | 1 | |
| 9 | Bayesian Reference Analysis | 1 |
| 10 | Una introducció a l'estadística bayesiana | 1 |
| 11 | Un programa de síntesis para la enseñanza universitaria de la estadística matemática contemporánea. | 1 |
| 12 | Model-free objetive Bayesian prediction | 1 |
| 13 | 46 | |
| 14 | 26 | |
| 15 | 128 | |
| 16 | 12 | |
| 17 | 219 | |
| 18 | A Bayesian approach to cluster analysis | 5 |
| 19 | Comportamiento asintótico de la información proporcionada por un experimento | 1 |
| 20 | Expected Information as Expected Utilitybreakdown → | 379 |
About José M. Bernardo
José M. Bernardo is a scholar working on Statistics and Probability, General Decision Sciences and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Advanced Statistical Methods and Models (12 papers) and Bayesian Modeling and Causal Inference (11 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Statistics, Probability and Uncertainty (694 citations) and General Decision Sciences (103 citations). José M. Bernardo has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include A. F. M. Smith, James O. Berger, Dongchu Sun, R. D. Levine, M. Tribus, D. V. Lindley, José M. Ramón, Morris H. DeGroot, David Rı́os Insua and Javier A. V. Muñoz. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.