Andrey Feuerverger
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 11
- Advanced Statistical Methods and Models 8
- Markov Chains and Monte Carlo Methods 3
- Finance top 1%
- Financial Risk and Volatility Modeling 7
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- Bayesian Methods and Mixture Models 5
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- Statistical and numerical algorithms 3
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- Sparse and Compressive Sensing Techniques 3
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- Numerical methods in inverse problems 3
- Co-authors
- Philip McDunnoughPeter A. HallAugustine WongRudolf BeranPeter HallAndrew T. A. WoodGreg MartinClifford Shearing
- Journals
- Journal of the American Statistical Association (4 papers)Biometrika (3 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Andrey Feuerverger
31 papers receiving 996 citations
Peers
Comparison fields: 5 of 106
- Statistics and Probability 541
- Finance 501
- General Economics, Econometrics and Finance 157
- Statistics, Probability and Uncertainty 79
- Management Science and Operations Research 115
Countries citing papers authored by Andrey Feuerverger
This map shows the geographic impact of Andrey Feuerverger'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 Andrey Feuerverger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey Feuerverger more than expected).
Fields of papers citing papers by Andrey Feuerverger
This network shows the impact of papers produced by Andrey Feuerverger. 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 Andrey Feuerverger. The network helps show where Andrey Feuerverger may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Andrey Feuerverger, 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 | 2012 | 8 | |
| 2 | 2009 | 5 | |
| 3 | 2008 | 2 | |
| 4 | 2008 | 7 | |
| 5 | 2006 | 6 | |
| 6 | 2004 | 0 | |
| 7 | 2000 | 30 | |
| 8 | 2000 | 1 | |
| 9 | 2000 | 7 | |
| 10 | 2000 | 16 | |
| 11 | 1999 | 164 | |
| 12 | 1998 | 17 | |
| 13 | 1994 | 26 | |
| 14 | 1993 | 73 | |
| 15 | 1992 | 4 | |
| 16 | 1990 | 52 | |
| 17 | 1981 | 133 | |
| 18 | 1981 | 85 | |
| 19 | 1981 | 22 | |
| 20 | 1979 | 36 |
About Andrey Feuerverger
Andrey Feuerverger is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (8 papers), Financial Risk and Volatility Modeling (7 papers), Bayesian Methods and Mixture Models (5 papers), Statistical and numerical algorithms (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Numerical methods in inverse problems (3 papers) and Markov Chains and Monte Carlo Methods (3 papers). The work is most often cited by research in Statistics and Probability (541 citations), Finance (501 citations) and General Economics, Econometrics and Finance (157 citations). Andrey Feuerverger has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Philip McDunnough, Peter A. Hall, Augustine Wong, Rudolf Beran, Peter Hall, Peter Hall, Andrew T. A. Wood, Greg Martin, Clifford Shearing and Yehuda Vardi. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.