M. S. Nikulin

105 total papers · 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 29 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 (18 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 (18 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Methods and Models (9 papers). M. S. Nikulin collaborates with scholars based in France, Lithuania and Russia. M. S. Nikulin's co-authors include Vilijandas Bagdonavičius, Priscilla E. Greenwood, Kenneth J. Koehler, N. Balakrishnan, Catherine Huber‐Carol, Mounir Mesbah, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. S. Nikulin	595	275	251	180	101	49	1.3k
Raj S. Chhikara	872 1.5×	397 1.4×	227 0.9×	349 1.9×	141 1.4×	51	1.8k
Nicholas Anthony John Hastings	363 0.6×	111 0.4×	247 1.0×	175 1.0×	175 1.7×	49	1.6k
Refik Soyer	477 0.8×	288 1.0×	479 1.9×	208 1.2×	217 2.1×	97	1.6k
Trevor J. Sweeting	539 0.9×	186 0.7×	112 0.4×	189 1.1×	108 1.1×	59	1.3k
Stephen C. Hora	260 0.4×	523 1.9×	138 0.5×	161 0.9×	358 3.5×	54	1.5k
Paul H. Kvam	729 1.2×	526 1.9×	572 2.3×	116 0.6×	104 1.0×	70	1.6k
Maurice C. Bryson	743 1.2×	429 1.6×	257 1.0×	122 0.7×	195 1.9×	31	1.3k
Y. L. Tong	678 1.1×	337 1.2×	201 0.8×	248 1.4×	482 4.8×	55	1.8k
Jayaram Sethuraman	583 1.0×	342 1.2×	446 1.8×	130 0.7×	227 2.2×	54	1.1k
Ramalingam Shanmugam	361 0.6×	121 0.4×	65 0.3×	376 2.1×	143 1.4×	125	1.6k

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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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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