Matej Črepinšek
- Software top 2%
- Model-Driven Software Engineering Techniques 11
- Software Testing and Debugging Techniques 8
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 14
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research 22
- Evolutionary Algorithms and Applications 21
- Machine Learning and Algorithms 5
- Information Systems top 2%
- Software Engineering Research 6
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- Sports Analytics and Performance 4
- Co-authors
- Marjan MernikShih-Hsi LiuLuka MernikDerviş KaraboğaTomaž KosarBogdan FilipičMaria João Varanda PereiraPedro Rangel Henriques
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- SloveniaUnited StatesPortugal
In The Last Decade
Matej Črepinšek
42 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Software 255
- Computational Theory and Mathematics 854
- Artificial Intelligence 1.6k
- Industrial and Manufacturing Engineering 242
- Information Systems 294
Countries citing papers authored by Matej Črepinšek
This map shows the geographic impact of Matej Črepinšek'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 Matej Črepinšek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matej Črepinšek more than expected).
Fields of papers citing papers by Matej Črepinšek
This network shows the impact of papers produced by Matej Črepinšek. 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 Matej Črepinšek. The network helps show where Matej Črepinšek may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Matej Črepinšek, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 45 | |
| 12 | 2019 | 21 | |
| 13 | 2017 | 16 | |
| 14 | 2016 | 72 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 12 | |
| 17 | 2012 | 248 | |
| 18 | 2006 | 1 | |
| 19 | 2005 | 12 | |
| 20 | Grammar-Based Systems: Definition and Examples. | 2004 | 22 |
About Matej Črepinšek
Matej Črepinšek is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (22 papers), Evolutionary Algorithms and Applications (21 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Model-Driven Software Engineering Techniques (11 papers), Software Testing and Debugging Techniques (8 papers), Software Engineering Research (6 papers), Machine Learning and Algorithms (5 papers) and Sports Analytics and Performance (4 papers). The work is most often cited by research in Software (255 citations), Computational Theory and Mathematics (854 citations) and Artificial Intelligence (1.6k citations). Matej Črepinšek has collaborated with scholars based in Slovenia, United States and Portugal. Frequent co-authors include Marjan Mernik, Shih-Hsi Liu, Luka Mernik, Derviş Karaboğa, Tomaž Kosar, Bogdan Filipič, Maria João Varanda Pereira, Pedro Rangel Henriques, Nuno Oliveira and Alan Sprague. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and ACM Computing Surveys.
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.