B. Ya. Levit
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Applied Mathematics top 10%
Papers in
-
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 10
-
- Mathematical Approximation and Integration 5
- Co-authors
- Richard D. Gill (1 shared paper)A. B. Tsybakov (2 shared papers)Oleg Lepski (2 shared papers)Joo‐Youn Cho (1 shared paper)
- Journals
- Bernoulli (3 papers)Annals of the Institute of Statistical Mathematics (1 paper)The Annals of Statistics (1 paper)Mathematical Methods of Statistics (9 papers)Statistics (1 paper)
- Partner nations
- CanadaSouth KoreaNetherlands
In The Last Decade
B. Ya. Levit
21 papers receiving 386 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 241
- Applied Mathematics 61
- Finance 58
- Numerical Analysis 31
- Artificial Intelligence 162
Countries citing papers authored by B. Ya. Levit
This map shows the geographic impact of B. Ya. Levit'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. Ya. Levit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Ya. Levit more than expected).
Fields of papers citing papers by B. Ya. Levit
This network shows the impact of papers produced by B. Ya. Levit. 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. Ya. Levit. The network helps show where B. Ya. Levit may publish in the future.
Co-authors
The 4 scholars most cited alongside B. Ya. Levit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 221 | |
| 2 | 1977 | 68 | |
| 3 | 1976 | 38 | |
| 4 | 1981 | 21 | |
| 5 | 1979 | 21 | |
| 6 | 1996 | 16 | |
| 7 | 1996 | 15 | |
| 8 | Adaptive non-parametric estimation of smooth multivariate functions | 1999 | 13 |
| 9 | 1998 | 12 | |
| 10 | 1983 | 9 | |
| 11 | 2003 | 6 | |
| 12 | 1986 | 5 | |
| 13 | 1996 | 5 | |
| 14 | 2013 | 3 | |
| 15 | 2008 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2002 | 2 | |
| 18 | 2008 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 1983 | 2 |
About B. Ya. Levit
B. Ya. Levit is a scholar working on Statistics and Probability, Numerical Analysis, Management Science and Operations Research, Mathematical Physics and Control and Systems Engineering, having authored 27 papers that have together received 467 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (10 papers), Mathematical Approximation and Integration (5 papers), Mathematical functions and polynomials (3 papers), Control Systems and Identification (3 papers), Optimal Experimental Design Methods (3 papers), Spectral Theory in Mathematical Physics (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Statistics and Probability (241 citations), Applied Mathematics (61 citations), Finance (58 citations), Numerical Analysis (31 citations) and Artificial Intelligence (162 citations). B. Ya. Levit has collaborated with scholars based in Canada, South Korea and Netherlands. Frequent co-authors include Richard D. Gill, A. B. Tsybakov, Oleg Lepski and Joo‐Youn Cho. Their work appears in journals such as Bernoulli, Annals of the Institute of Statistical Mathematics, The Annals of Statistics, Mathematical Methods of Statistics and 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.