Włodzimierz Bryc
- Statistics and Probability top 1%
- Random Matrices and Applications 15
- Markov Chains and Monte Carlo Methods 7
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 14
- Finance top 5%
- Stochastic processes and financial applications 10
- Financial Risk and Volatility Modeling 7
- Applied Mathematics top 5%
- Mathematical functions and polynomials 8
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- Bayesian Methods and Mixture Models 8
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- Probability and Risk Models 7
- Co-authors
- Amir DemboMarek BożejkoRichard C. BradleyTiefeng JiangErnst EberleinMurad S. TaqquJacek WesołowskiPaweł J. Szabłowski
- Journals
- Journal of the American Statistical Association (1 paper)Communications in Mathematical Physics (1 paper)SIAM Review (1 paper)
- Partner nations
- United StatesPolandTunisia
In The Last Decade
Włodzimierz Bryc
51 papers receiving 878 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 472
- Mathematical Physics 368
- Discrete Mathematics and Combinatorics 73
- Finance 221
- Applied Mathematics 197
Countries citing papers authored by Włodzimierz Bryc
This map shows the geographic impact of Włodzimierz Bryc'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 Włodzimierz Bryc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Włodzimierz Bryc more than expected).
Fields of papers citing papers by Włodzimierz Bryc
This network shows the impact of papers produced by Włodzimierz Bryc. 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 Włodzimierz Bryc. The network helps show where Włodzimierz Bryc may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Włodzimierz Bryc, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 14 | |
| 6 | 2018 | 7 | |
| 7 | 2013 | 3 | |
| 8 | 2007 | 3 | |
| 9 | Free Real Exponential Families | 2006 | 0 |
| 10 | 2006 | 59 | |
| 11 | 2004 | 24 | |
| 12 | 2001 | 24 | |
| 13 | 2000 | 2 | |
| 14 | Large deviations and strong mixing | 1996 | 44 |
| 15 | 1995 | 12 | |
| 16 | 1993 | 67 | |
| 17 | 1992 | 30 | |
| 18 | 1987 | 11 | |
| 19 | 1985 | 46 | |
| 20 | 1979 | 5 |
About Włodzimierz Bryc
Włodzimierz Bryc is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 55 papers that have together received 965 indexed citations. Recurring topics across this work include Random Matrices and Applications (15 papers), Stochastic processes and statistical mechanics (14 papers), Stochastic processes and financial applications (10 papers), Bayesian Methods and Mixture Models (8 papers), Mathematical functions and polynomials (8 papers), Probability and Risk Models (7 papers), Financial Risk and Volatility Modeling (7 papers) and Markov Chains and Monte Carlo Methods (7 papers). The work is most often cited by research in Statistics and Probability (472 citations), Mathematical Physics (368 citations) and Discrete Mathematics and Combinatorics (73 citations). Włodzimierz Bryc has collaborated with scholars based in United States, Poland and Tunisia. Frequent co-authors include Amir Dembo, Marek Bożejko, Richard C. Bradley, Tiefeng Jiang, Ernst Eberlein, Murad S. Taqqu, Jacek Wesołowski, Paweł J. Szabłowski, Yizao Wang and Wojciech Młotkowski. Their work appears in journals such as Journal of the American Statistical Association, Communications in Mathematical Physics and SIAM Review.
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.