Dušan Fister
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 14
- Evolutionary Algorithms and Applications 9
- Control and Systems Engineering top 10%
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- Hydrological Forecasting Using AI 3
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- Advanced Multi-Objective Optimization Algorithms 4
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- Meteorological Phenomena and Simulations 5
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- Global Health Care Issues 3
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- Sports Performance and Training 3
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- Flood Risk Assessment and Management 3
- Co-authors
- Iztok FisterSancho Salcedo‐SanzRiko ŠafaričTimotej JagričJorge Pérez‐AracilXin‐She YangJanez BrestUroš Mlakar
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (2 papers)Renewable Energy (1 paper)
In The Last Decade
Dušan Fister
36 papers receiving 525 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 213
- Management Science and Operations Research 53
- Control and Systems Engineering 96
- Environmental Engineering 53
- Computational Theory and Mathematics 50
Countries citing papers authored by Dušan Fister
This map shows the geographic impact of Dušan Fister'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 Dušan Fister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dušan Fister more than expected).
Fields of papers citing papers by Dušan Fister
This network shows the impact of papers produced by Dušan Fister. 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 Dušan Fister. The network helps show where Dušan Fister may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dušan Fister, 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 | 2024 | 1 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 31 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 49 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 72 | |
| 16 | 2016 | 10 | |
| 17 | Planning Fitness Training Sessions Using the Bat Algorithm | 2015 | 3 |
| 18 | 2015 | 23 | |
| 19 | 2014 | 16 | |
| 20 | 2013 | 7 |
About Dušan Fister
Dušan Fister is a scholar working on Equine, Artificial Intelligence and Environmental Engineering, having authored 41 papers that have together received 546 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (9 papers), Meteorological Phenomena and Simulations (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Hydrological Forecasting Using AI (3 papers), Global Health Care Issues (3 papers), Sports Performance and Training (3 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Management Science and Operations Research (53 citations) and Control and Systems Engineering (96 citations). Dušan Fister has collaborated with scholars based in Slovenia, Spain and Australia. Frequent co-authors include Iztok Fister, Sancho Salcedo‐Sanz, Riko Šafarič, Timotej Jagrič, Jorge Pérez‐Aracil, Xin‐She Yang, Janez Brest, Uroš Mlakar, Iztok Fister and Grega Vrbančič. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Renewable Energy.
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.