Maciej Smółka
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- Advanced Multi-Objective Optimization Algorithms 7
- Advanced Mathematical Modeling in Engineering 4
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 12
- Evolutionary Algorithms and Applications 5
- Multi-Agent Systems and Negotiation 4
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- Numerical methods in inverse problems 4
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- Reservoir Engineering and Simulation Methods 3
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- Geophysical and Geoelectrical Methods 3
- Co-authors
- Robert SchaeferAleksander ByrskiMaciej PaszyńskiLeszek GasińskiDavid PardoCarlos CottaPiotr FaliszewskiStanisław Migórski
In The Last Decade
Maciej Smółka
31 papers receiving 214 citations
Peers
Comparison fields: 5 of 49
- Computational Theory and Mathematics 92
- Artificial Intelligence 92
- Mathematical Physics 21
- Ocean Engineering 32
- Computational Mechanics 31
Countries citing papers authored by Maciej Smółka
This map shows the geographic impact of Maciej Smółka'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 Maciej Smółka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Smółka more than expected).
Fields of papers citing papers by Maciej Smółka
This network shows the impact of papers produced by Maciej Smółka. 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 Maciej Smółka. The network helps show where Maciej Smółka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maciej Smółka, 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 | 2023 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 0 | |
| 6 | 2017 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 3 | |
| 10 | 2015 | 13 | |
| 11 | 2015 | 3 | |
| 12 | 2014 | 17 | |
| 13 | 2013 | 27 | |
| 14 | 2012 | 13 | |
| 15 | 2012 | 13 | |
| 16 | 2009 | 11 | |
| 17 | Architectural principles and scheduling strategies for computing agent systems | 2006 | 6 |
| 18 | A cooperative model for implementing complex virtual enterprises | 2005 | 0 |
| 19 | Optimal scheduling problem for computing agent systems | 2005 | 1 |
| 20 | 2002 | 10 |
About Maciej Smółka
Maciej Smółka is a scholar working on Computational Theory and Mathematics, Health Informatics, Numerical Analysis, Mathematical Physics and Artificial Intelligence, having authored 37 papers that have together received 217 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Evolutionary Algorithms and Applications (5 papers), Multi-Agent Systems and Negotiation (4 papers), Numerical methods in inverse problems (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Reservoir Engineering and Simulation Methods (3 papers) and Geophysical and Geoelectrical Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (92 citations), Artificial Intelligence (92 citations), Mathematical Physics (21 citations), Ocean Engineering (32 citations) and Computational Mechanics (31 citations). Maciej Smółka has collaborated with scholars based in Poland, Spain and Czechia. Frequent co-authors include Robert Schaefer, Aleksander Byrski, Maciej Paszyński, Leszek Gasiński, David Pardo, Carlos Cotta, Piotr Faliszewski, Stanisław Migórski, Joanna Kołodziej and Zuzana Komínková Oplatková. Their work appears in journals such as Journal of Computational Science, International Journal of Applied Mathematics and Computer Science, Natural Computing, Computers & Mathematics with Applications and IEEE Intelligent Systems.
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.