Eugene Semenkin

1.6k total citations
119 papers, 825 citations indexed

About

Eugene Semenkin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Eugene Semenkin has authored 119 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 38 papers in Computational Theory and Mathematics and 21 papers in Control and Systems Engineering. Recurrent topics in Eugene Semenkin's work include Metaheuristic Optimization Algorithms Research (55 papers), Evolutionary Algorithms and Applications (50 papers) and Advanced Multi-Objective Optimization Algorithms (33 papers). Eugene Semenkin is often cited by papers focused on Metaheuristic Optimization Algorithms Research (55 papers), Evolutionary Algorithms and Applications (50 papers) and Advanced Multi-Objective Optimization Algorithms (33 papers). Eugene Semenkin collaborates with scholars based in Russia, Germany and Slovenia. Eugene Semenkin's co-authors include Vladimir Stanovov, Shakhnaz Akhmedova, Andrej Škraba, Davorin Kofjač, Radovan Stojanović, Wolfgang Minker, Ruslan Sergienko, Mikko Kolehmainen, Tomi‐Pekka Tuomainen and Anton Zupan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Information Sciences.

In The Last Decade

Eugene Semenkin

111 papers receiving 788 citations

Peers

Eugene Semenkin
Sen Zhao China
Eugene Semenkin
Citations per year, relative to Eugene Semenkin Eugene Semenkin (= 1×) peers Sen Zhao

Countries citing papers authored by Eugene Semenkin

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Semenkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene Semenkin. 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 Eugene Semenkin. The network helps show where Eugene Semenkin may publish in the future.

Co-authorship network of co-authors of Eugene Semenkin

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Semenkin. A scholar is included among the top collaborators of Eugene Semenkin 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 Eugene Semenkin. Eugene Semenkin 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
1.
Semenkin, Eugene, et al.. (2024). Allocation of Starting Points in Global Optimization Problems. Mathematics. 12(4). 606–606. 1 indexed citations
2.
Semenkin, Eugene, et al.. (2024). Application of the Parabola Method in Nonconvex Optimization. Algorithms. 17(3). 107–107. 2 indexed citations
3.
Ganchev, Todor, et al.. (2024). A Method for Transforming Non-Convex Optimization Problem to Distributed Form. Mathematics. 12(17). 2796–2796. 2 indexed citations
4.
Stanovov, Vladimir & Eugene Semenkin. (2024). Adaptation of the Scaling Factor Based on the Success Rate in Differential Evolution. Mathematics. 12(4). 516–516. 3 indexed citations
5.
Stanovov, Vladimir & Eugene Semenkin. (2024). Success Rate-based Adaptive Differential Evolution L-SRTDE for CEC 2024 Competition. 1–8. 3 indexed citations
6.
Semenkin, Eugene, et al.. (2024). Two-level optimization by differential evolution in decision tree learning algorithm. SHILAP Revista de lepidopterología. 59. 1018–1018.
7.
Stanovov, Vladimir, Lev Kazakovtsev, & Eugene Semenkin. (2023). Crossover Rate Sorting in Adaptive Differential Evolution. Algorithms. 16(3). 133–133.
8.
Semenkin, Eugene, et al.. (2023). Study on the efficiency of methods for selecting a splitting attribute for constructing decision trees. AIP conference proceedings. 2701. 30008–30008. 1 indexed citations
9.
Stanovov, Vladimir & Eugene Semenkin. (2023). Surrogate-Assisted Automatic Parameter Adaptation Design for Differential Evolution. Mathematics. 11(13). 2937–2937. 3 indexed citations
10.
Stanovov, Vladimir, Shakhnaz Akhmedova, & Eugene Semenkin. (2022). NL-SHADE-LBC algorithm with linear parameter adaptation bias change for CEC 2022 Numerical Optimization. 1–8. 26 indexed citations
11.
Kauhanen, Jussi, Tomi‐Pekka Tuomainen, Sari Voutilainen, et al.. (2018). Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases. BioData Mining. 11(1). 18–18. 2 indexed citations
12.
Schmitt, Alexander, et al.. (2016). Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?. Language Resources and Evaluation. 61–68. 2 indexed citations
13.
Škraba, Andrej, et al.. (2016). Streaming pulse data to the cloud with bluetooth LE or NODEMCU ESP8266. 428–431. 38 indexed citations
14.
Akhmedova, Shakhnaz & Eugene Semenkin. (2016). Collective Bionic Algorithm with Biogeography Based Migration Operator for Binary Optimization. Journal of Siberian Federal University Mathematics & Physics. 9(1). 3–10. 2 indexed citations
15.
Škraba, Andrej, Davorin Kofjač, Anja Žnidaršič, et al.. (2015). Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management. Journal of Siberian Federal University Mathematics & Physics. 8(1). 94–103. 3 indexed citations
16.
Minker, Wolfgang, et al.. (2014). Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm. Language Resources and Evaluation. 3481–3485. 16 indexed citations
17.
Sergienko, Ruslan, et al.. (2013). A Semi-supervised Approach for Natural Language Call Routing. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 344–348. 5 indexed citations
18.
Semenkin, Eugene, et al.. (2012). Speech and Language Resources for LVCSR of Russian. Language Resources and Evaluation. 3374–3377. 3 indexed citations
19.
Semenkin, Eugene, et al.. (2012). Evolutionary design of neural networks for forecasting of financial time series. 1 indexed citations
20.
Semenkin, Eugene, et al.. (1990). Optimization of unimodal monotone pseudoboolean functions. Kybernetika. 26(5). 432–442. 3 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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