Adam Słowik
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 27
- Evolutionary Algorithms and Applications 14
- Neural Networks and Applications 6
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- Advanced Multi-Objective Optimization Algorithms 12
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- Advanced Manufacturing and Logistics Optimization 7
- Scheduling and Optimization Algorithms 6
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- IoT and Edge/Fog Computing 8
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- Microwave Engineering and Waveguides 6
- Co-authors
- Halina KwaśnickaYu XueM. BiałkoJiayu LiangAboul Ella HassanienGaurav DhimanAmandeep KaurKrishna Kant Singh
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterología (3 papers)IEEE Transactions on Industrial Electronics (1 paper)Applied Energy (1 paper)
In The Last Decade
Adam Słowik
101 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 1.0k
- Computational Theory and Mathematics 373
- Industrial and Manufacturing Engineering 212
- Energy Engineering and Power Technology 43
- Control and Systems Engineering 319
Countries citing papers authored by Adam Słowik
This map shows the geographic impact of Adam Słowik'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 Adam Słowik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Słowik more than expected).
Fields of papers citing papers by Adam Słowik
This network shows the impact of papers produced by Adam Słowik. 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 Adam Słowik. The network helps show where Adam Słowik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Słowik, 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 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 26 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 22 | |
| 18 | 2019 | 12 | |
| 19 | Antena z wiązką sterowaną elektronicznie na pasmo S | 2011 | 0 |
| 20 | The performance of the IFM receiver in a dense signal environment | 2010 | 6 |
About Adam Słowik
Adam Słowik is a scholar working on Health Informatics, Artificial Intelligence and Signal Processing, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), IoT and Edge/Fog Computing (8 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Scheduling and Optimization Algorithms (6 papers), Neural Networks and Applications (6 papers) and Microwave Engineering and Waveguides (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computational Theory and Mathematics (373 citations) and Industrial and Manufacturing Engineering (212 citations). Adam Słowik has collaborated with scholars based in Poland, China and India. Frequent co-authors include Halina Kwaśnicka, Yu Xue, M. Białko, Jiayu Liang, Aboul Ella Hassanien, Gaurav Dhiman, Amandeep Kaur, Krishna Kant Singh, Mukesh Soni and Ali Asghar Rahmani Hosseinabadi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Applied 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.