Lev V. Utkin

2.3k total citations
160 papers, 1.4k citations indexed

About

Lev V. Utkin is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Lev V. Utkin has authored 160 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 56 papers in Statistics and Probability and 47 papers in Management Science and Operations Research. Recurrent topics in Lev V. Utkin's work include Multi-Criteria Decision Making (43 papers), Reliability and Maintenance Optimization (31 papers) and Fuzzy Systems and Optimization (25 papers). Lev V. Utkin is often cited by papers focused on Multi-Criteria Decision Making (43 papers), Reliability and Maintenance Optimization (31 papers) and Fuzzy Systems and Optimization (25 papers). Lev V. Utkin collaborates with scholars based in Russia, United Kingdom and Denmark. Lev V. Utkin's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Lev V. Utkin

147 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lev V. Utkin Russia	21	472	384	380	332	262	160	1.4k
Yongchuan Tang China	24	590 1.3×	734 1.9×	386 1.0×	137 0.4×	149 0.6×	76	1.7k
Xiaoyan Su China	18	472 1.0×	557 1.5×	366 1.0×	116 0.3×	115 0.4×	65	1.3k
Helge Langseth Norway	19	797 1.7×	158 0.4×	431 1.1×	76 0.2×	254 1.0×	67	1.6k
Hadi Akbarzadeh Khorshidi Australia	17	326 0.7×	172 0.4×	115 0.3×	105 0.3×	159 0.6×	64	1.0k
Hideki Katagiri Japan	21	244 0.5×	653 1.7×	92 0.2×	500 1.5×	135 0.5×	160	1.5k
Bong‐Jin Yum South Korea	21	113 0.2×	246 0.6×	582 1.5×	517 1.6×	474 1.8×	62	1.2k
Tsung-Jung Hsieh Taiwan	14	271 0.6×	235 0.6×	147 0.4×	67 0.2×	295 1.1×	30	951
Anne-Laure Jousselme Canada	16	1.1k 2.3×	746 1.9×	197 0.5×	134 0.4×	53 0.2×	83	1.9k
Robert Kennes Belgium	4	914 1.9×	585 1.5×	125 0.3×	136 0.4×	39 0.1×	4	1.4k
Henry Lam United States	15	204 0.4×	462 1.2×	202 0.5×	176 0.5×	208 0.8×	116	1.2k

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

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20 of 20 papers shown

Konstantinov, Andrei V., et al.. (2025). ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest. SHILAP Revista de lepidopterología. 24(1). 329–357.

Utkin, Lev V., et al.. (2025). Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges. Journal of Medical Systems. 49(1). 142–142.

Utkin, Lev V., et al.. (2024). BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect. Algorithms. 17(1). 40–40. 1 indexed citations

Konstantinov, Andrei V. & Lev V. Utkin. (2023). Interpretable ensembles of hyper-rectangles as base models. Neural Computing and Applications. 35(29). 21771–21795. 2 indexed citations

Konstantinov, Andrei V., et al.. (2023). Multiple Instance Learning with Trainable Soft Decision Tree Ensembles. Algorithms. 16(8). 358–358. 3 indexed citations

Utkin, Lev V., et al.. (2020). Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System.. The European Symposium on Artificial Neural Networks. 251–256. 1 indexed citations

Utkin, Lev V., et al.. (2019). Three-channel intelligent neoplasm classification system for the diagnosis of lung cancer. 7(3). 196–207. 2 indexed citations

Utkin, Lev V., et al.. (2019). Imprecise Extensions of Random Forests and Random Survival Forests. 404–413. 1 indexed citations

Utkin, Lev V., et al.. (2016). A Genome-Wide Association Study using Pairwise Comparison Matrices. SPIIRAS Proceedings. 4(47). 225–225. 3 indexed citations

10.

Utkin, Lev V., et al.. (2016). Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels. Neural Networks. 80. 53–66. 22 indexed citations

11.

Utkin, Lev V., et al.. (2016). Robust transfer learning in multi-robot systems by using sparse autoencoder. 224–227. 1 indexed citations

12.

Utkin, Lev V., et al.. (2015). A new robust model of one-class classification by interval-valued training data using the triangular kernel. Neural Networks. 69. 99–110. 8 indexed citations

13.

Utkin, Lev V.. (2011). On Reliability Growth Models Using Kolmogorov-Smirnov Bounds. International Journal of Performability Engineering. 7(1). 5. 8 indexed citations

14.

Utkin, Lev V. & Sébastien Destercke. (2009). Computing expectations with continuous p-boxes: Univariate case. International Journal of Approximate Reasoning. 50(5). 778–798. 16 indexed citations

15.

Utkin, Lev V. & Thomas Augustin. (2006). Decision making under incomplete data using the imprecise Dirichlet model. International Journal of Approximate Reasoning. 44(3). 322–338. 25 indexed citations

16.

Utkin, Lev V. & Thomas Augustin. (2005). Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. 349–358. 24 indexed citations

17.

Utkin, Lev V.. (2003). Decision Making with Imprecise Second-Order Probabilities.. 545–559. 13 indexed citations

18.

Utkin, Lev V.. (2003). A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability.. 530–544. 2 indexed citations

19.

Utkin, Lev V. & Igor Kozine. (2002). A Reliability Model of Multi-State Units under Partial Information. 1 indexed citations

20.

Utkin, Lev V. & Sergey V. Gurov. (1999). Imprecise Reliability Models for the General Lifetime Distribution Classes.. 333–342. 2 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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