B. B. Winter

404 citations
17 papers · 294 · h-index 8

Impact in

    • 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

B. B. Winter

17 papers receiving 264 citations

Peers

B. B. Winter
Comparison fields: 5 of 50
  • Statistics and Probability 224
  • Finance 45
  • Statistics, Probability and Uncertainty 30
  • Management Science and Operations Research 45
  • Artificial Intelligence 102
Replace D. M. Chibisov with:
D. M. Chibisov Russia
J. Oosterhoff Netherlands
Ramesh M. Korwar United States
Ryoichi Shimizu Japan
Kamal C. Chanda United States
Hajime Yamato Japan
R. H. Farrell United States
G. W. Hill Australia
Yu. V. Borovskich Ukraine
Gérard Collomb France
B. B. Winter relative to D. M. Chibisov Russia D. M. Chibisov's profile →
Citations per field
00.5×
D. M. Chibisov · 1×
Citations per year

Countries citing papers authored by B. B. Winter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with B. B. Winter Line = papers co-authored together B. B. Winter links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 198167
2 197356
3 197953
4 198828
5 198020
6 197519
7 19899
8 19978
9 19847
10 19797
11 19896
12 19875
13 19634
14 19652
15 19811
16 19791
17 19911

About B. B. Winter

B. B. Winter is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research and Molecular Biology, having authored 17 papers that have together received 294 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), Stochastic processes and statistical mechanics (2 papers), Diffusion and Search Dynamics (2 papers) and Probability and Risk Models (2 papers). The work is most often cited by research in Statistics and Probability (224 citations), Finance (45 citations), Statistics, Probability and Uncertainty (30 citations), Management Science and Operations Research (45 citations) and Artificial Intelligence (102 citations). B. B. Winter has collaborated with scholars based in Canada, United States and Hungary. 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, Journal of Mathematical Analysis and Applications, IBM Journal of Research and Development 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.

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