B. Ya. Levit

802 total citations
27 papers, 467 citations indexed

About

B. Ya. Levit is a scholar working on Statistics and Probability, Numerical Analysis and Management Science and Operations Research. According to data from OpenAlex, B. Ya. Levit has authored 27 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 5 papers in Numerical Analysis and 4 papers in Management Science and Operations Research. Recurrent topics in B. Ya. Levit's work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (10 papers) and Mathematical Approximation and Integration (5 papers). B. Ya. Levit is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (10 papers) and Mathematical Approximation and Integration (5 papers). B. Ya. Levit collaborates with scholars based in Canada, Netherlands and South Korea. B. Ya. Levit's co-authors include Richard D. Gill, A. B. Tsybakov, Oleg Lepski and Joo‐Youn Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and Bernoulli.

In The Last Decade

B. Ya. Levit

21 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. Ya. Levit Canada 10 241 162 61 58 54 27 467
Michael Nussbaum Germany 10 320 1.3× 125 0.8× 79 1.3× 84 1.4× 13 0.2× 20 482
Cristina Butucea France 13 312 1.3× 176 1.1× 49 0.8× 106 1.8× 16 0.3× 41 469
Erik Torgersen Norway 9 164 0.7× 106 0.7× 23 0.4× 34 0.6× 25 0.5× 23 361
N. G. Ushakov Russia 7 155 0.6× 96 0.6× 28 0.5× 50 0.9× 8 0.1× 39 296
R.B. Bapat India 11 138 0.6× 76 0.5× 56 0.9× 14 0.2× 13 0.2× 27 428
Robert W. Keener United States 10 108 0.4× 89 0.5× 23 0.4× 51 0.9× 15 0.3× 26 339
S. Y. Novak United Kingdom 10 100 0.4× 72 0.4× 41 0.7× 116 2.0× 15 0.3× 42 358
R. J. Serfling United States 12 329 1.4× 192 1.2× 60 1.0× 220 3.8× 54 1.0× 26 840
Yasuko Chikuse Japan 11 221 0.9× 153 0.9× 80 1.3× 39 0.7× 7 0.1× 32 510
Nigel J. Newton United Kingdom 9 46 0.2× 92 0.6× 27 0.4× 226 3.9× 24 0.4× 23 496

Countries citing papers authored by B. Ya. Levit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of B. Ya. Levit

This figure shows the co-authorship network connecting the top 25 collaborators of B. Ya. Levit. A scholar is included among the top collaborators of B. Ya. Levit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B. Ya. Levit. B. Ya. Levit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Levit, B. Ya.. (2018). On Optimal Cardinal Interpolation. Mathematical Methods of Statistics. 27(4). 245–267.
2.
Levit, B. Ya.. (2015). Variance-optimal data approximation using the Abel-Jacobi functions. Mathematical Methods of Statistics. 24(1). 37–54. 2 indexed citations
3.
Levit, B. Ya.. (2013). Some new perspectives in best approximation and interpolation of random data. Mathematical Methods of Statistics. 22(3). 165–192. 3 indexed citations
4.
Levit, B. Ya.. (2010). Minimax revisited. I. Mathematical Methods of Statistics. 19(3). 283–297. 2 indexed citations
5.
Cho, Joo‐Youn & B. Ya. Levit. (2008). Cardinal splines in nonparametric regression. Mathematical Methods of Statistics. 17(1). 19–34. 2 indexed citations
6.
Levit, B. Ya., et al.. (2008). Asymptotic Optimality of Periodic Spline Interpolation in Non-Parametric Regression. Journal of Statistical Theory and Practice. 2(3). 465–474. 2 indexed citations
7.
Levit, B. Ya., et al.. (2007). A Bayesian approach to the estimation of maps between Riemannian manifolds. Mathematical Methods of Statistics. 16(4). 281–297.
8.
Levit, B. Ya., et al.. (2003). On the empirical Bayes approach to adaptive filtering. Mathematical Methods of Statistics. 12(2). 131–154. 6 indexed citations
9.
Levit, B. Ya., et al.. (2002). Adaptive Regression on the Real Line in Classes of Smooth Functions. SHILAP Revista de lepidopterología. 2002022. 99–129–99–129. 2 indexed citations
10.
Levit, B. Ya., et al.. (2001). Asymptotically Local Minimax Estimation of Infinitely Smooth Density with Censored Data. Annals of the Institute of Statistical Mathematics. 53(2). 289–306.
11.
Lepski, Oleg, et al.. (2000). On adaptive estimation using the sup-norm losses. Utrecht University Repository (Utrecht University).
12.
Lepski, Oleg & B. Ya. Levit. (1999). Adaptive non-parametric estimation of smooth multivariate functions. Data Archiving and Networked Services (DANS). 13 indexed citations
13.
Levit, B. Ya., et al.. (1998). Asymptotically efficient estimation in the Wicksell problem. The Annals of Statistics. 26(6). 12 indexed citations
14.
Levit, B. Ya., et al.. (1996). Asymptotically Efficient Estimation of Analytic Functions in Gaussian Noise. Bernoulli. 2(2). 167–167. 16 indexed citations
15.
Gill, Richard D. & B. Ya. Levit. (1995). Applications of the van Trees Inequality: A Bayesian Cramér-Rao Bound. Bernoulli. 1(1/2). 59–59. 221 indexed citations
16.
Levit, B. Ya.. (1986). Second-Order Asymptotic Optimality and Positive Solutions of Schrödinger’s Equation. Theory of Probability and Its Applications. 30(2). 333–363. 5 indexed citations
17.
Levit, B. Ya.. (1981). On Asymptotic Minimax Estimates of the Second Order. Theory of Probability and Its Applications. 25(3). 552–568. 21 indexed citations
18.
Levit, B. Ya.. (1979). Infinite-Dimensional Informational Inequalities. Theory of Probability and Its Applications. 23(2). 371–377. 21 indexed citations
19.
Levit, B. Ya., et al.. (1977). On a Non-Parametric Analogue of the Information Matrix. Theory of Probability and Its Applications. 21(4). 738–753. 68 indexed citations
20.
Levit, B. Ya.. (1976). On the Efficiency of a Class of Non-Parametric Estimates. Theory of Probability and Its Applications. 20(4). 723–740. 38 indexed citations

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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