B. Yu. Lemeshko

513 total citations
55 papers, 247 citations indexed

About

B. Yu. Lemeshko is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, B. Yu. Lemeshko has authored 55 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in B. Yu. Lemeshko's work include Advanced Statistical Methods and Models (29 papers), Statistical Distribution Estimation and Applications (9 papers) and Statistical and Computational Modeling (9 papers). B. Yu. Lemeshko is often cited by papers focused on Advanced Statistical Methods and Models (29 papers), Statistical Distribution Estimation and Applications (9 papers) and Statistical and Computational Modeling (9 papers). B. Yu. Lemeshko collaborates with scholars based in Russia and France. B. Yu. Lemeshko's co-authors include M. S. Nikulin and has published in prestigious journals such as Communication in Statistics- Theory and Methods, Quality Technology & Quantitative Management and Automation and Remote Control.

In The Last Decade

B. Yu. Lemeshko

47 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Yu. Lemeshko Russia	10	120	50	36	24	12	55	247
Filipe J. Marques Portugal	10	146 1.2×	71 1.4×	19 0.5×	28 1.2×	16 1.3×	56	229
Karine Bertin France	9	153 1.3×	74 1.5×	22 0.6×	54 2.3×	27 2.3×	18	221
Paul Gilbert Canada	6	82 0.7×	24 0.5×	25 0.7×	14 0.6×	10 0.8×	8	202
Xiaoqian Sun United States	10	215 1.8×	65 1.3×	37 1.0×	20 0.8×	6 0.5×	27	319
Luca Greco Italy	9	140 1.2×	67 1.3×	54 1.5×	5 0.2×	18 1.5×	31	277
Federico J. O'Reilly Mexico	11	213 1.8×	75 1.5×	85 2.4×	27 1.1×	16 1.3×	34	292
Li‐Pang Chen Taiwan	10	161 1.3×	64 1.3×	18 0.5×	5 0.2×	20 1.7×	65	372
David T. Frazier Australia	10	108 0.9×	87 1.7×	26 0.7×	42 1.8×	16 1.3×	30	230
Prasanta Basak United States	9	179 1.5×	66 1.3×	105 2.9×	21 0.9×	6 0.5×	21	327
Johan F. Kaashoek Netherlands	8	48 0.4×	44 0.9×	12 0.3×	60 2.5×	8 0.7×	22	272

Countries citing papers authored by B. Yu. Lemeshko

Since Specialization

Citations

This map shows the geographic impact of B. Yu. Lemeshko'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. Yu. Lemeshko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Yu. Lemeshko more than expected).

Fields of papers citing papers by B. Yu. Lemeshko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Yu. Lemeshko. 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. Yu. Lemeshko. The network helps show where B. Yu. Lemeshko may publish in the future.

Co-authorship network of co-authors of B. Yu. Lemeshko

This figure shows the co-authorship network connecting the top 25 collaborators of B. Yu. Lemeshko. A scholar is included among the top collaborators of B. Yu. Lemeshko 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. Yu. Lemeshko. B. Yu. Lemeshko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lemeshko, B. Yu., et al.. (2020). About the influence of rounding errors on distributions of statistics of the goodness-of-fit tests. Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika. 47–60. 1 indexed citations

Lemeshko, B. Yu., et al.. (2020). Effect of the Roundoff on the Properties of Criteria for Testing Statistical Hypotheses. Optoelectronics Instrumentation and Data Processing. 56(3). 242–250. 2 indexed citations

Lemeshko, B. Yu., et al.. (2018). To question of the statistical analysis of big data. Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika. 40–49. 6 indexed citations

Lemeshko, B. Yu., et al.. (2017). Application and Power of Parametric Criteria for Testing the Homogeneity of Variances. Part III. Measurement Techniques. 60(1). 7–14. 1 indexed citations

Lemeshko, B. Yu., et al.. (2017). Application of criteria for testing homogeneity of distribution laws. Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika. 24–31. 4 indexed citations

Lemeshko, B. Yu., et al.. (2017). Application and Power of Parametric Criteria for Testing the Homogeneity of Variances. Part IV. Measurement Techniques. 60(5). 425–431.

Lemeshko, B. Yu., et al.. (2016). Criteria of test against absence of trend in dispersion characteristics. 12. 333–337. 1 indexed citations

Lemeshko, B. Yu., et al.. (2016). The simulation system and research of functions of random variables. 2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). 1–1. 1 indexed citations

Lemeshko, B. Yu., et al.. (2014). Solving problems of using some nonparametric goodness-of-fit tests. Optoelectronics Instrumentation and Data Processing. 50(1). 21–35. 2 indexed citations

10.

Lemeshko, B. Yu., et al.. (2014). The analytical review of tests for randomness and the absence of av trend. 532–539. 1 indexed citations

11.

Lemeshko, B. Yu.. (2014). Nonparametric criteria of consent: Application guide. Infra-M Academic Publishing House eBooks. 10 indexed citations

12.

Lemeshko, B. Yu., et al.. (2012). Using nonparametric goodness-of-fit tests to validate accelerated failure time models. Optoelectronics Instrumentation and Data Processing. 48(6). 580–592. 10 indexed citations

13.

Lemeshko, B. Yu., et al.. (2011). Construction of Statistic Distribution Models for Nonparametric Goodness-of-Fit Tests in Testing Composite Hypotheses: The Computer Approach. Quality Technology & Quantitative Management. 8(4). 359–373. 8 indexed citations

14.

Lemeshko, B. Yu., et al.. (2010). Application and power of criteria for testing the homogeneity of variances. Part I. Parametric criteria. Measurement Techniques. 53(3). 237–246. 9 indexed citations

15.

Lemeshko, B. Yu., et al.. (2009). Models for statistical distributions in nonparametric fitting tests on composite hypotheses based on maximum-likelihood estimators. Part II. Measurement Techniques. 52(8). 799–812. 8 indexed citations

16.

Lemeshko, B. Yu., et al.. (2007). The power of goodness of fit tests for close alternatives. Measurement Techniques. 50(2). 132–141. 13 indexed citations

17.

Lemeshko, B. Yu., et al.. (2005). Nonparametric goodness-of-fit tests when checking composite hypotheses. 2. 501–504. 1 indexed citations

18.

Lemeshko, B. Yu., et al.. (2003). Rules of application of goodness-of-fit tests in simple and composite hypothesis testing. 3. 126–132.

19.

Lemeshko, B. Yu., et al.. (2002). Errors and Incorrect Procedures When Utilizing χ2 Fitting Criteria. Measurement Techniques. 45(6). 572–581. 3 indexed citations

20.

Lemeshko, B. Yu., et al.. (1995). Statistical analysis of one-dimensional observations from partially grouped data. Russian Physics Journal. 38(9). 901–906.

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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