Łukasz Struski

544 total citations
27 papers, 149 citations indexed

About

Łukasz Struski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Łukasz Struski has authored 27 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Łukasz Struski's work include Neural Networks and Applications (5 papers), Face and Expression Recognition (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Łukasz Struski is often cited by papers focused on Neural Networks and Applications (5 papers), Face and Expression Recognition (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Łukasz Struski collaborates with scholars based in Poland, Belgium and United Kingdom. Łukasz Struski's co-authors include Jacek Tabor, Marek Śmieja, Przemysław Spurek, Bartosz Zieliński, Dawid Rymarczyk, Mateusz Marzec, Rafał Kurczab, Dawid Warszycki, Sławomir Tadeja and Tomasz Danel and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Łukasz Struski

23 papers receiving 145 citations

Peers

Łukasz Struski

CVPR

CTM

Roi Livni Israel

Zhiping Xiao China

Jingyang Yuan China

Alexander Hasenfuß Germany

Yinchong Yang Germany

Ibrahim Alabdulmohsin Saudi Arabia

Krzysztof Maziarz United Kingdom

Adam Woźnica Switzerland

Tamer Alkhouli Germany

Jaydeb Bhaumik India

Roi Livni Israel

Łukasz Struski

116 ×1.8

48 ×1.1

CVPR

25 ×1.3

CTM

20 ×1.3

4 ×0.3

Citations per year, relative to Łukasz Struski Łukasz Struski (= 1×) peers Roi Livni

Countries citing papers authored by Łukasz Struski

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Struski, Łukasz, et al.. (2025). MeVGAN: GAN-based plugin model for video generation with applications in colonoscopy. PLoS ONE. 20(5). e0312038–e0312038.

Struski, Łukasz, et al.. (2024). Efficient GPU implementation of randomized SVD and its applications. Expert Systems with Applications. 248. 123462–123462. 3 indexed citations

Rymarczyk, Dawid, et al.. (2024). Decoding phenotypic screening: A comparative analysis of image representations. Computational and Structural Biotechnology Journal. 23. 1181–1188.

Rymarczyk, Dawid, et al.. (2024). Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21563–21573. 3 indexed citations

Struski, Łukasz, et al.. (2023). Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12068–12082. 7 indexed citations

Struski, Łukasz, et al.. (2023). Multiple instance learning for medical image classification based on instance importance. Biomedical Signal Processing and Control. 91. 105874–105874. 4 indexed citations

Janik, Romuald A., et al.. (2022). Neural spatio-temporal patterns of information processing related to cognitive conflict and correct or false recognitions. Scientific Reports. 12(1). 5271–5271. 2 indexed citations

Spurek, Przemysław, Marcin Mazur, David Janík, et al.. (2022). HyperPocket: Generative Point Cloud Completion. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6848–6853. 10 indexed citations

Śmieja, Marek, et al.. (2022). MisConv: Convolutional Neural Networks for Missing Data. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2917–2926. 4 indexed citations

10.

Struski, Łukasz, et al.. (2022). LocoGAN — Locally convolutional GAN. Computer Vision and Image Understanding. 221. 103462–103462. 5 indexed citations

11.

Bobek, Szymon, Sławomir Tadeja, Łukasz Struski, et al.. (2021). Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes. Applied Sciences. 12(1). 331–331. 9 indexed citations

12.

Śmieja, Marek, et al.. (2020). Can auto-encoders help with filling missing data?. International Conference on Learning Representations. 2 indexed citations

13.

Struski, Łukasz, et al.. (2019). Interpolation in generative models.. arXiv (Cornell University). 1 indexed citations

14.

Spurek, Przemysław, Tomasz Danel, Jacek Tabor, et al.. (2019). Geometric Graph Convolutional Neural Networks.. arXiv (Cornell University). 5 indexed citations

15.

Śmieja, Marek, Łukasz Struski, Jacek Tabor, & Mateusz Marzec. (2019). Generalized RBF kernel for incomplete data. Knowledge-Based Systems. 173. 150–162. 16 indexed citations

16.

Maziarka, Łukasz, et al.. (2018). Set aggregation network for structured data processing. arXiv (Cornell University).

17.

Śmieja, Marek, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, & Przemysław Spurek. (2018). Processing of missing data by neural networks. Jagiellonian University Repository (Jagiellonian University). 31. 2719–2729. 4 indexed citations

18.

Struski, Łukasz, Marek Śmieja, & Jacek Tabor. (2016). Incomplete data representation for SVM classification.. arXiv (Cornell University). 2 indexed citations

19.

Struski, Łukasz, Jacek Tabor, & Przemysław Spurek. (2016). Subspace Memory Clustering. Homo Politicus (Academy of Humanities and Economics in Lodz). 24. 253–260. 1 indexed citations

20.

Struski, Łukasz & Jacek Tabor. (2014). Expansivity and Cone-fields in Metric Spaces. Journal of Dynamics and Differential Equations. 26(3). 517–527. 1 indexed citations

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.

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