Łukasz Struski
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Computational Mechanics
- Molecular Biology
- Co-authors
- Jacek TaborMarek ŚmiejaPrzemysław SpurekBartosz ZielińskiDawid RymarczykMateusz MarzecRafał KurczabDawid Warszycki
- Topics
- Neural Networks and Applications (5 papers)Face and Expression Recognition (5 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Partner nations
- PolandBelgiumUnited Kingdom
In The Last Decade
Łukasz Struski
23 papers receiving 145 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 66
- Computer Vision and Pattern Recognition 44
- Computational Theory and Mathematics 19
- Computational Mechanics 15
- Molecular Biology 14
Countries citing papers authored by Łukasz Struski
This map shows the geographic impact of Łukasz Struski'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 Łukasz Struski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Łukasz Struski more than expected).
Fields of papers citing papers by Łukasz Struski
This network shows the impact of papers produced by Łukasz Struski. 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 Łukasz Struski. The network helps show where Łukasz Struski may publish in the future.
Co-authorship network of co-authors of Łukasz Struski
This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Struski. A scholar is included among the top collaborators of Łukasz Struski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Łukasz Struski. Łukasz Struski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | Can auto-encoders help with filling missing data? | 2 |
| 13 | Interpolation in generative models. | 1 |
| 14 | Geometric Graph Convolutional Neural Networks. | 5 |
| 15 | 16 | |
| 16 | Set aggregation network for structured data processing | 0 |
| 17 | Processing of missing data by neural networks | 4 |
| 18 | Incomplete data representation for SVM classification. | 2 |
| 19 | 1 | |
| 20 | 1 |
About Łukasz Struski
Łukasz Struski is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 149 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Face and Expression Recognition (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (44 citations), Artificial Intelligence (66 citations) and Computer Graphics and Computer-Aided Design (6 citations). Łukasz Struski has collaborated with scholars based in Poland, Belgium and United Kingdom. Frequent co-authors include Jacek Tabor, Marek Śmieja, Przemysław Spurek, Bartosz Zieliński, Dawid Rymarczyk, Mateusz Marzec, Rafał Kurczab, Dawid Warszycki, Sławomir Tadeja and Tomasz Danel. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.