José M. Bernardo

8.0k total citations · 3 hit papers
66 papers, 4.1k citations indexed

About

José M. Bernardo is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, José M. Bernardo has authored 66 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in José M. Bernardo's work include Statistical Methods and Bayesian Inference (17 papers), Advanced Statistical Methods and Models (12 papers) and Bayesian Modeling and Causal Inference (11 papers). José M. Bernardo is often cited by papers focused on Statistical Methods and Bayesian Inference (17 papers), Advanced Statistical Methods and Models (12 papers) and Bayesian Modeling and Causal Inference (11 papers). José M. Bernardo collaborates with scholars based in Spain, United States and Mexico. José M. Bernardo's co-authors include A. F. M. Smith, James O. Berger, Dongchu Sun, M. Tribus, R. D. Levine, D. V. Lindley, José M. Ramón, Morris H. DeGroot, David Rı́os Insua and Robert L. Winkler and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

José M. Bernardo

58 papers receiving 3.8k citations

Hit Papers

Bayesian Theory 1979 2026 1994 2010 1994 1979 1979 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José M. Bernardo Spain 21 1.9k 1.3k 694 659 378 66 4.1k
George Casella United States 15 2.1k 1.1× 1.8k 1.4× 774 1.1× 650 1.0× 503 1.3× 37 7.0k
Roger L. Berger United States 23 2.7k 1.4× 955 0.7× 810 1.2× 1.1k 1.7× 583 1.5× 65 6.7k
Norman L. Johnson United States 22 1.4k 0.7× 787 0.6× 837 1.2× 640 1.0× 408 1.1× 56 4.6k
Stephen M. Stigler United States 32 1.7k 0.9× 726 0.6× 530 0.8× 622 0.9× 593 1.6× 153 5.1k
Malay Ghosh United States 24 2.5k 1.3× 1.2k 0.9× 726 1.0× 781 1.2× 581 1.5× 165 4.8k
Larry Wasserman United States 37 2.6k 1.4× 1.8k 1.4× 435 0.6× 591 0.9× 457 1.2× 133 7.1k
Luke Tierney United States 23 3.4k 1.8× 2.2k 1.7× 835 1.2× 681 1.0× 609 1.6× 67 6.3k
Leon Jay Gleser United States 29 2.3k 1.2× 861 0.7× 579 0.8× 512 0.8× 389 1.0× 96 5.9k
Kjell A. Doksum United States 29 2.5k 1.3× 877 0.7× 693 1.0× 498 0.8× 470 1.2× 82 4.9k
Nancy Reid Canada 30 2.9k 1.5× 971 0.7× 541 0.8× 439 0.7× 602 1.6× 141 4.9k

Countries citing papers authored by José M. Bernardo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Berger, James O., José M. Bernardo, & Dongchu Sun. (2015). Overall Objective Priors. Bayesian Analysis. 10(1). 69 indexed citations
2.
Berger, James O., José M. Bernardo, & Dongchu Sun. (2012). Objective Priors for Discrete Parameter Spaces. Journal of the American Statistical Association. 107(498). 636–648. 29 indexed citations
3.
Berger, James O., José M. Bernardo, & Dongchu Sun. (2009). Rejoinder on: Natural induction: An objective Bayesian approach. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 103(1). 157–159.
4.
Bernardo, José M.. (2008). Bayesian Statistics. Palgrave Macmillan eBooks. 1–13. 21 indexed citations
5.
Bernardo, José M.. (2007). Objective Bayesian point and region estimation in location-scale models. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 31(1). 3–44. 6 indexed citations
6.
Bernardo, José M.. (2007). Bayesian statistics 8 : proceedings of the Eighth Valencia International Meeting, June 2-6, 2006. Oxford University Press eBooks. 3 indexed citations
7.
Barrera, M., et al.. (2007). A Bayesian approach to assess data from radionuclide activity analyses in environmental samples. Analytica Chimica Acta. 604(2). 197–202. 4 indexed citations
8.
Fiadeiro, Paulo T., et al.. (2006). Spectral characterization of a hyperspectral system for imaging of large art paintings. Conference on Colour in Graphics Imaging and Vision. 3(1). 350–354. 1 indexed citations
9.
Bernardo, José M.. (2005). Bayesian Reference Analysis. 1 indexed citations
10.
Bernardo, José M.. (2002). Una introducció a l'estadística bayesiana. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 17(1). 7–64. 1 indexed citations
11.
Bernardo, José M.. (2001). Un programa de síntesis para la enseñanza universitaria de la estadística matemática contemporánea.. 95(1). 87–105. 1 indexed citations
12.
Bernardo, José M.. (1999). Model-free objetive Bayesian prediction. 93(3). 295–302. 1 indexed citations
13.
Bernardo, José M.. (1997). Statistical inference as a decision problem: the choice of sample size. Journal of the Royal Statistical Society Series D (The Statistician). 46(2). 151–153. 26 indexed citations
14.
Winkler, Robert L., Javier A. V. Muñoz, José M. Bernardo, et al.. (1996). Scoring rules and the evaluation of probabilities. Test. 5(1). 1–60. 163 indexed citations
15.
Casella, George, Juan Ferrándiz, Daniel Peña, et al.. (1996). Statistical inference and Monte Carlo algorithms. Test. 5(2). 249–344. 28 indexed citations
16.
Berger, James O. & José M. Bernardo. (1992). Ordered group reference priors with application to the multinomial problem. Biometrika. 79(1). 25–37. 128 indexed citations
17.
Bernardo, José M., et al.. (1990). Bayesian Statistics 3: Proceedings of the Third Valencia International Meeting, June 1-5, 1987.. Journal of the American Statistical Association. 85(412). 1168–1168. 12 indexed citations
18.
Bernardo, José M., et al.. (1988). A Bayesian approach to cluster analysis. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 12(1). 97–112. 5 indexed citations
19.
Bernardo, José M.. (1980). Comportamiento asintótico de la información proporcionada por un experimento. Dialnet (Universidad de la Rioja). 625–633. 1 indexed citations
20.
Bernardo, José M.. (1979). Expected Information as Expected Utility. The Annals of Statistics. 7(3). 379 indexed citations breakdown →

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.

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