M. S. Nikulin

2.1k total citations
49 papers, 1.3k citations indexed

About

M. S. Nikulin is a scholar working on Statistics and Probability, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, M. S. Nikulin has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in M. S. Nikulin's work include Statistical Distribution Estimation and Applications (17 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Methods and Models (9 papers). M. S. Nikulin is often cited by papers focused on Statistical Distribution Estimation and Applications (17 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Methods and Models (9 papers). M. S. Nikulin collaborates with scholars based in France, Russia and Lithuania. M. S. Nikulin's co-authors include Vilijandas Bagdonavičius, Priscilla E. Greenwood, Kenneth J. Koehler, Catherine Huber‐Carol, Mounir Mesbah, N. Balakrishnan, Nikolaos Limnios, N. Balakrishnan, K. Dzhaparidze and Waltraud Kahle and has published in prestigious journals such as Journal of the American Statistical Association, Statistics in Medicine and IEEE Transactions on Reliability.

In The Last Decade

M. S. Nikulin

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. S. Nikulin France	14	592	274	250	180	101	49	1.3k
Nicholas Anthony John Hastings United Kingdom	19	363 0.6×	111 0.4×	247 1.0×	175 1.0×	175 1.7×	49	1.6k
Max Engelhardt United States	25	1.2k 2.1×	827 3.0×	400 1.6×	191 1.1×	241 2.4×	90	2.3k
Paul H. Kvam United States	20	732 1.2×	526 1.9×	574 2.3×	116 0.6×	104 1.0×	70	1.6k
Warren Gilchrist United Kingdom	10	286 0.5×	260 0.9×	105 0.4×	94 0.5×	156 1.5×	26	807
Zdravko I. Botev Australia	13	200 0.3×	157 0.6×	98 0.4×	187 1.0×	127 1.3×	42	981
Y. L. Tong United States	16	678 1.1×	337 1.2×	201 0.8×	248 1.4×	482 4.8×	56	1.8k
Peter C. Kiessler United States	10	157 0.3×	111 0.4×	152 0.6×	99 0.6×	113 1.1×	31	970
N. Balakrishnan Netherlands	8	510 0.9×	244 0.9×	61 0.2×	209 1.2×	161 1.6×	9	1.3k
David L. Farnsworth United States	11	441 0.7×	243 0.9×	76 0.3×	126 0.7×	113 1.1×	52	1.1k
Jane M. Booker United States	12	135 0.2×	209 0.8×	98 0.4×	191 1.1×	229 2.3×	43	924

Countries citing papers authored by M. S. Nikulin

Since Specialization

Citations

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

Fields of papers citing papers by M. S. Nikulin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Nikulin. 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 M. S. Nikulin. The network helps show where M. S. Nikulin may publish in the future.

Co-authorship network of co-authors of M. S. Nikulin

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Nikulin. A scholar is included among the top collaborators of M. S. Nikulin 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 M. S. Nikulin. M. S. Nikulin 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

Nikulin, M. S., et al.. (2017). Comparison of hypertabastic survival model with other unimodal hazard rate functions using a goodness-of-fit test. Statistics in Medicine. 36(12). 1936–1945. 9 indexed citations

Nikulin, M. S., et al.. (2013). CHI-SQUARED GOODNESS OF FIT TEST FOR GENERALIZED BIRNBAUM-SAUNDERS MODELS FOR RIGHT CENSORED DATA AND ITS RELIABILITY APPLICATIONS. Reliability: Theory & Applications. 8. 3 indexed citations

Nikulin, M. S., et al.. (2013). Exact goodness-of-fit tests for shape-scale families and type II censoring. Lifetime Data Analysis. 19(3). 413–435. 2 indexed citations

Bagdonavičius, Vilijandas & M. S. Nikulin. (2011). Chi-squared goodness-of-fit test for right censored data. International Journal of Applied Mathematics & Statistics. 24. 30–50. 75 indexed citations

Nikulin, M. S., Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, & Catherine Huber‐Carol. (2010). Advances in degradation modeling : applications to reliability, survival analysis, and finance. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 34 indexed citations

Rykov, Vladimir, N. Balakrishnan, & M. S. Nikulin. (2010). Mathematical and statistical models and methods in reliability : applications to medicine, finance, and quality control. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations

Bagdonavičius, Vilijandas, et al.. (2004). Tests for Equality of Survival Distributions Against Non-Location Alternatives. Lifetime Data Analysis. 10(4). 445–460. 7 indexed citations

Nikulin, M. S., et al.. (2001). A probabilistic description of radioactive contamination: a multivariate model. Applied Radiation and Isotopes. 54(2). 355–363. 1 indexed citations

Bagdonavičius, Vilijandas & M. S. Nikulin. (2001). Estimation in degradation models with explanatory variables.. Lifetime Data Analysis. 7(1). 85–103. 151 indexed citations

10.

Bagdonavičius, Vilijandas & M. S. Nikulin. (1999). Generalized proportional hazards model based on modified partial likelihood.. Lifetime Data Analysis. 5(4). 329–350. 24 indexed citations

11.

Bagdonavičius, Vilijandas & M. S. Nikulin. (1998). Additive and multiplicative semiparametric models in accelerated life testing and survival analysis. 5 indexed citations

12.

Nikulin, M. S., et al.. (1997). Bolshev's method of confidence limit construction. QRU Quaderns de Recerca en Urbanisme. 21(3). 549–562. 1 indexed citations

13.

Bagdonavičius, Vilijandas & M. S. Nikulin. (1995). Semiparametric models in accelerated life testing. 13 indexed citations

14.

Nikulin, M. S., et al.. (1995). On the problem of the means of weighted normal populations. Hispana. 19(1). 93–106. 5 indexed citations

15.

Dzhaparidze, K. & M. S. Nikulin. (1995). On the computation of chi-square-type statistics. Journal of Mathematical Sciences. 75(5). 1910–1921. 2 indexed citations

16.

Nikulin, M. S., et al.. (1994). Goodness-of-fit test for the family of logistic distributions. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 18(3). 317–335.

17.

Nikulin, M. S., et al.. (1993). Unbiased estimators of multivariate discrete distributions and chi-square goodness-of-fit test. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 17(3). 301–326. 2 indexed citations

18.

Nikulin, M. S.. (1992). A variant of the generalized omega-square statistic. Journal of Mathematical Sciences. 61(1). 1896–1900. 3 indexed citations

19.

Nikulin, M. S.. (1991). Some recent results on chi-squared tests. 5 indexed citations

20.

Nikulin, M. S., et al.. (1975). On a Modification of the Standard Statistics of Pearson. Theory of Probability and Its Applications. 19(4). 851–853. 30 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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