B. B. Winter
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Finance top 10%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Inference 9
- Statistical Methods and Bayesian Inference 4
- Statistical Distribution Estimation and Applications 4
-
- Bayesian Methods and Mixture Models 7
- Co-authors
- Antónia Földes (3 shared papers)Lídia Rejtö (2 shared papers)Luc F. Miller Watelet (1 shared paper)
- Journals
- Journal of Applied Probability (4 papers)Canadian Journal of Statistics (2 papers)IBM Journal of Research and Development (1 paper)IEEE Transactions on Reliability (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- CanadaHungaryUnited States
In The Last Decade
B. B. Winter
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 52
- Statistics and Probability 245
- Finance 50
- Statistics, Probability and Uncertainty 34
- Management Science and Operations Research 48
- Artificial Intelligence 111
Countries citing papers authored by B. B. Winter
This map shows the geographic impact of B. B. Winter'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 B. B. Winter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. B. Winter more than expected).
Fields of papers citing papers by B. B. Winter
This network shows the impact of papers produced by B. B. Winter. 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 B. B. Winter. The network helps show where B. B. Winter may publish in the future.
Co-authors
The 3 scholars most cited alongside B. B. Winter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 69 | |
| 2 | 1973 | 62 | |
| 3 | 1979 | 60 | |
| 4 | 1988 | 30 | |
| 5 | 1980 | 21 | |
| 6 | 1975 | 20 | |
| 7 | 1979 | 11 | |
| 8 | 1997 | 9 | |
| 9 | 1989 | 9 | |
| 10 | 1984 | 7 | |
| 11 | 1989 | 6 | |
| 12 | 1987 | 5 | |
| 13 | 1963 | 4 | |
| 14 | 1965 | 2 | |
| 15 | 1979 | 2 | |
| 16 | 1991 | 1 | |
| 17 | 1981 | 1 |
About B. B. Winter
B. B. Winter is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Mathematical Physics and Control and Systems Engineering, having authored 17 papers that have together received 319 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Distribution Estimation and Applications (4 papers), Control Systems and Identification (3 papers), Diffusion and Search Dynamics (2 papers), Stochastic processes and statistical mechanics (2 papers) and Probability and Risk Models (2 papers). The work is most often cited by research in Statistics and Probability (245 citations), Finance (50 citations), Statistics, Probability and Uncertainty (34 citations), Management Science and Operations Research (48 citations) and Artificial Intelligence (111 citations). B. B. Winter has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include Antónia Földes, Lídia Rejtö and Luc F. Miller Watelet. Their work appears in journals such as Journal of Applied Probability, Canadian Journal of Statistics, IBM Journal of Research and Development, IEEE Transactions on Reliability and The Annals of Statistics.
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.