Luka Mernik
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 5
- Evolutionary Algorithms and Applications 2
- Machine Learning and Algorithms 1
- Algorithms and Data Compression 1
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- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Matej Črepinšek (4 shared papers)Shih-Hsi Liu (3 shared papers)Marjan Mernik (3 shared papers)Jeffery D. McNeal (1 shared paper)
- Journals
- Information Sciences (1 paper)Pacific Journal of Mathematics (1 paper)Expert Systems with Applications (1 paper)Journal of Geometric Analysis (1 paper)Soft Computing (1 paper)
- Partner nations
- United StatesSlovenia
In The Last Decade
Luka Mernik
5 papers receiving 362 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 122
- Artificial Intelligence 220
- Industrial and Manufacturing Engineering 37
- Software 8
- Energy Engineering and Power Technology 6
Countries citing papers authored by Luka Mernik
This map shows the geographic impact of Luka Mernik'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 Luka Mernik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luka Mernik more than expected).
Fields of papers citing papers by Luka Mernik
This network shows the impact of papers produced by Luka Mernik. 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 Luka Mernik. The network helps show where Luka Mernik may publish in the future.
Co-authors
The 4 scholars most cited alongside Luka Mernik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 249 | |
| 2 | 2014 | 70 | |
| 3 | 2020 | 46 | |
| 4 | AN EFFICIENT REPRESENTATION FOR SOLVING CATALAN NUMBER RELATED PROBLEMS | 2009 | 5 |
| 5 | 2017 | 4 | |
| 6 | 2025 | 0 | |
| 7 | 2020 | 0 |
About Luka Mernik
Luka Mernik is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Geometry and Topology, Applied Mathematics and Computer Networks and Communications, having authored 7 papers that have together received 374 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Evolutionary Algorithms and Applications (2 papers), Geometric Analysis and Curvature Flows (2 papers), Holomorphic and Operator Theory (2 papers), Machine Learning and Algorithms (1 paper), Geometry and complex manifolds (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Computational Theory and Mathematics (122 citations), Artificial Intelligence (220 citations), Industrial and Manufacturing Engineering (37 citations), Software (8 citations) and Energy Engineering and Power Technology (6 citations). Luka Mernik has collaborated with scholars based in United States and Slovenia. Frequent co-authors include Matej Črepinšek, Shih-Hsi Liu, Marjan Mernik and Jeffery D. McNeal. Their work appears in journals such as Information Sciences, Pacific Journal of Mathematics, Expert Systems with Applications, Journal of Geometric Analysis and Soft Computing.
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.