Roman Šenkeřík

3.3k total citations
177 papers, 1.5k citations indexed

About

Roman Šenkeřík is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Roman Šenkeřík has authored 177 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 46 papers in Statistical and Nonlinear Physics and 23 papers in Computational Theory and Mathematics. Recurrent topics in Roman Šenkeřík's work include Metaheuristic Optimization Algorithms Research (66 papers), Evolutionary Algorithms and Applications (54 papers) and Neural Networks and Applications (41 papers). Roman Šenkeřík is often cited by papers focused on Metaheuristic Optimization Algorithms Research (66 papers), Evolutionary Algorithms and Applications (54 papers) and Neural Networks and Applications (41 papers). Roman Šenkeřík collaborates with scholars based in Czechia, Vietnam and India. Roman Šenkeřík's co-authors include Michal Pluháček, Ivan Zelinka, Donald Davendra, Adam Viktorin, Zuzana Komínková Oplatková, Tomáš Kadavý, Aleš Zamuda, Suresh Chandra Satapathy, Roman Jašek and Radek Šilhavý and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Roman Šenkeřík

155 papers receiving 1.4k citations

Peers

Roman Šenkeřík

CTM

SNP

CVPR

CSE

Tianlong Gu China

Mohammad‐Reza Feizi‐Derakhshi Iran

Yuki Todo Japan

Jianxin Tang China

Qidi Wu China

Feng Zou China

Babak Amiri Iran

Aijia Ouyang China

Daniel Aloise Canada

Tianlong Gu China

Roman Šenkeřík

943 ×1.1

625 ×2.3

CTM

172 ×0.6

SNP

436 ×1.9

CVPR

176 ×1.1

CSE

Citations per year, relative to Roman Šenkeřík Roman Šenkeřík (= 1×) peers Tianlong Gu

Countries citing papers authored by Roman Šenkeřík

Since Specialization

Citations

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

Fields of papers citing papers by Roman Šenkeřík

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Šenkeřík

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Šenkeřík. A scholar is included among the top collaborators of Roman Šenkeřík 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 Roman Šenkeřík. Roman Šenkeřík 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

Billones, Robert Kerwin C., et al.. (2025). Digital Twinning Mechanism and Building Information Modeling for a Smart Parking Management System. Smart Cities. 8(5). 146–146.

Eftimov, Tome, et al.. (2025). Comprehensive benchmarking of knowledge graph embeddings methods for Android malware detection. Expert Systems with Applications. 288. 127888–127888.

Pluháček, Michal, et al.. (2024). Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2018–2022. 1 indexed citations

Pluháček, Michal, et al.. (2024). A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1855–1862. 1 indexed citations

Viktorin, Adam, et al.. (2024). DISH Solving the GNBG-generated Test Suite. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 19–20.

Viktorin, Adam, et al.. (2023). Hierarchical clustering-based algorithms for optimal waste collection point locations in large-scale problems: A framework development and case study. Computers & Industrial Engineering. 178. 109142–109142. 15 indexed citations

Pluháček, Michal, et al.. (2023). Leveraging Large Language Models for the Generation of Novel Metaheuristic Optimization Algorithms. 1812–1820. 22 indexed citations

Kadavý, Tomáš, et al.. (2023). Impact of Boundary Control Methods on Bound-constrained Optimization Benchmarking. 25–26. 1 indexed citations

Šenkeřík, Roman, Tomáš Kadavý, Michal Pluháček, et al.. (2023). Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. 1821–1829.

10.

Šenkeřík, Roman, et al.. (2023). Initial Coin Offering Prediction Comparison Using Ridge Regression, Artificial Neural Network, Random Forest Regression, and Hybrid ANN-Ridge. SHILAP Revista de lepidopterología. 29(2). 283–294. 1 indexed citations

11.

Yadav, Vinod Kumar, et al.. (2023). Robot Automation Testing of Software Using Genetic Algorithm. 3. 1–5. 1 indexed citations

12.

Kadavý, Tomáš, et al.. (2022). Impact of Boundary Control Methods on Bound-Constrained Optimization Benchmarking. IEEE Transactions on Evolutionary Computation. 26(6). 1271–1280. 5 indexed citations

13.

Šenkeřík, Roman, et al.. (2022). Slicing aided large scale tomato fruit detection and counting in 360-degree video data from a greenhouse. Measurement. 204. 111977–111977. 5 indexed citations

14.

Pluháček, Michal, et al.. (2021). How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior?. IEEE Access. 9. 44032–44048. 26 indexed citations

15.

Šenkeřík, Roman, et al.. (2021). An effective data reduction model for machine emergency state detection from big data tree topology structures. International Journal of Applied Mathematics and Computer Science. 31(4). 1 indexed citations

16.

Pluháček, Michal, Roman Šenkeřík, Adam Viktorin, & Tomáš Kadavý. (2017). Exploring the shortest path in PSO communication network. 1–6. 3 indexed citations

17.

Zelinka, Ivan, Donald Davendra, Roman Šenkeřík, & Michal Pluháček. (2014). Investigation on evolutionary predictive control of chemical reactor. Journal of Applied Logic. 13(2). 156–166. 8 indexed citations

18.

Davendra, Donald, et al.. (2011). Discrete Self-Organising Migrating Algorithm for flow-shop scheduling with no-wait makespan. Mathematical and Computer Modelling. 57(1-2). 100–110. 38 indexed citations

19.

Šenkeřík, Roman, Zuzana Komínková Oplatková, Ivan Zelinka, & Donald Davendra. (2011). Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming. Mathematical and Computer Modelling. 57(1-2). 57–67. 15 indexed citations

20.

Šenkeřík, Roman, Ivan Zelinka, Donald Davendra, & Zuzana Komínková Oplatková. (2010). Utilization of SOMA and differential evolution for robust stabilization of chaotic Logistic equation. Computers & Mathematics with Applications. 60(4). 1026–1037. 20 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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