Rudolf Beran
- Statistics and Probability top 0.05%
- Artificial Intelligence top 1%
- Finance top 1%
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 1%
- Co-authors
- Peter A. HallMuni S. SrivastavaP. W. MillarPeter HallGilles R. DucharmeLutz DümbgenG. S. WatsonAndrey Feuerverger
- Topics
- Statistical Methods and Inference (47 papers)Advanced Statistical Methods and Models (32 papers)Bayesian Methods and Mixture Models (18 papers)
- Journals
- Journal of Geophysical Research AtmospheresJournal of the American Statistical AssociationBiometrika
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Rudolf Beran
77 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Statistics and Probability 2.8k
- Artificial Intelligence 915
- Finance 755
- Economics and Econometrics 598
- General Economics, Econometrics and Finance 542
Countries citing papers authored by Rudolf Beran
This map shows the geographic impact of Rudolf Beran'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 Rudolf Beran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Beran more than expected).
Fields of papers citing papers by Rudolf Beran
This network shows the impact of papers produced by Rudolf Beran. 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 Rudolf Beran. The network helps show where Rudolf Beran may publish in the future.
Co-authorship network of co-authors of Rudolf Beran
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Beran. A scholar is included among the top collaborators of Rudolf Beran 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 Rudolf Beran. Rudolf Beran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 25 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | Collected works of Jaroslav Hájek : with commentary | 2 |
| 6 | 46 | |
| 7 | THE ROLE OF HAJEK'S CONVOLUTION THEOREM IN STATISTICAL THEORY | 3 |
| 8 | 11 | |
| 9 | 309 | |
| 10 | 24 | |
| 11 | 67 | |
| 12 | 58 | |
| 13 | 1 | |
| 14 | 50 | |
| 15 | 29 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 48 |
About Rudolf Beran
Rudolf Beran is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 81 papers that have together received 4.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (47 papers), Advanced Statistical Methods and Models (32 papers) and Bayesian Methods and Mixture Models (18 papers). The work is most often cited by research in Statistics and Probability (2.8k citations), Finance (755 citations) and General Economics, Econometrics and Finance (542 citations). Rudolf Beran has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Peter A. Hall, Muni S. Srivastava, P. W. Millar, Peter Hall, Gilles R. Ducharme, Lutz Dümbgen, G. S. Watson, Peter Hall, Andrey Feuerverger and N. I. Fisher. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association 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.