Lev V. Utkin

2.3k citations
160 papers · 1.4k indexed · h-index 21
Topics
Multi-Criteria Decision Making (43 papers)Reliability and Maintenance Optimization (31 papers)Fuzzy Systems and Optimization (25 papers)

In The Last Decade

Lev V. Utkin

147 papers receiving 1.3k citations

Peers

Lev V. Utkin
Comparison fields: 5 of 132
  • Artificial Intelligence 472
  • Management Science and Operations Research 384
  • Statistics, Probability and Uncertainty 380
  • Statistics and Probability 332
  • Safety, Risk, Reliability and Quality 262
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Citations per field
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Countries citing papers authored by Lev V. Utkin

Since Specialization
Citations

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

Fields of papers citing papers by Lev V. Utkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev V. Utkin. 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 Lev V. Utkin. The network helps show where Lev V. Utkin may publish in the future.

Co-authorship network of co-authors of Lev V. Utkin

This figure shows the co-authorship network connecting the top 25 collaborators of Lev V. Utkin. A scholar is included among the top collaborators of Lev V. Utkin 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 Lev V. Utkin. Lev V. Utkin 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
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 3
6
Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System.
1
7 2
8
Imprecise Extensions of Random Forests and Random Survival Forests
1
9 3
10 22
11 1
12 8
13
On Reliability Growth Models Using Kolmogorov-Smirnov Bounds
8
14 16
15 25
16
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes
24
17
Decision Making with Imprecise Second-Order Probabilities.
13
18
A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability.
2
19
A Reliability Model of Multi-State Units under Partial Information
1
20
Imprecise Reliability Models for the General Lifetime Distribution Classes.
2

About Lev V. Utkin

Lev V. Utkin is a scholar working on Statistics and Probability, Software and Management Science and Operations Research, having authored 160 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (43 papers), Reliability and Maintenance Optimization (31 papers) and Fuzzy Systems and Optimization (25 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (380 citations), Statistics and Probability (332 citations) and Software (133 citations). Lev V. Utkin has collaborated with scholars based in Russia, United Kingdom and Denmark. Frequent co-authors include Sergey V. Gurov, Igor Kozine, Andrei V. Konstantinov, Frank P. A. Coolen, Thomas Augustin, Andrea Wiencierz, Sébastien Destercke, Maria Samsonova, Sergey V. Nuzhdin and M. A. Ryabinin. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

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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