L. N. Bol’shev
- Statistics and Probability top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 10%
- Mechanics of Materials
- Topics
- Bayesian Methods and Mixture Models (5 papers)Statistical Distribution Estimation and Applications (3 papers)Financial Risk and Volatility Modeling (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Mathematics of ComputationTheory of Probability and Its ApplicationsRevue de l Institut International de Statistique / Review of the International Statistical Institute
In The Last Decade
L. N. Bol’shev
18 papers receiving 246 citations
Peers
Comparison fields: 5 of 97
- Statistics and Probability 116
- Artificial Intelligence 66
- Management Science and Operations Research 47
- Statistics, Probability and Uncertainty 34
- Mechanics of Materials 29
Countries citing papers authored by L. N. Bol’shev
This map shows the geographic impact of L. N. Bol’shev'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 L. N. Bol’shev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. N. Bol’shev more than expected).
Fields of papers citing papers by L. N. Bol’shev
This network shows the impact of papers produced by L. N. Bol’shev. 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 L. N. Bol’shev. The network helps show where L. N. Bol’shev may publish in the future.
Co-authorship network of co-authors of L. N. Bol’shev
This figure shows the co-authorship network connecting the top 25 collaborators of L. N. Bol’shev. A scholar is included among the top collaborators of L. N. Bol’shev 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 L. N. Bol’shev. L. N. Bol’shev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | Tables in Mathematical Statistics | 189 |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | 15 |
About L. N. Bol’shev
L. N. Bol’shev is a scholar working on Theoretical Computer Science, Statistics and Probability and Mathematical Physics, having authored 21 papers that have together received 374 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Statistical Distribution Estimation and Applications (3 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Statistics and Probability (116 citations), Statistics, Probability and Uncertainty (34 citations) and Management Science and Operations Research (47 citations). Frequent co-authors include Nikolay V. Smirnov, В. М. Золотарев and П. И. Кузнецов. Their work appears in journals such as Mathematics of Computation, Theory of Probability and Its Applications and Revue de l Institut International de Statistique / Review of the International Statistical Institute.
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.