Michał Myller

588 total citations
16 papers, 427 citations indexed

About

Michał Myller is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Michał Myller has authored 16 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Atmospheric Science. Recurrent topics in Michał Myller's work include Remote-Sensing Image Classification (10 papers), Remote Sensing and Land Use (6 papers) and Advanced Image Fusion Techniques (5 papers). Michał Myller is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Remote Sensing and Land Use (6 papers) and Advanced Image Fusion Techniques (5 papers). Michał Myller collaborates with scholars based in Poland, Italy and Japan. Michał Myller's co-authors include Jakub Nalepa, Michał Kawulok, Kenichi Honda, Pablo Ribalta Lorenzo, Michał Marcinkiewicz, Daniel Kostrzewa, Jacek Andrzejewski, Bertrand Le Saux, Nicolas Longépé and Bogdan Smołka and has published in prestigious journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Acta Astronautica.

In The Last Decade

Michał Myller

15 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michał Myller Poland 10 260 137 112 94 73 16 427
Raúl Guerra Spain 16 335 1.3× 229 1.7× 111 1.0× 94 1.0× 79 1.1× 43 644
Shrutika S. Sawant India 13 330 1.3× 108 0.8× 248 2.2× 71 0.8× 58 0.8× 22 449
Shailesh Kumar United States 9 219 0.8× 170 1.2× 92 0.8× 129 1.4× 60 0.8× 20 508
Xianchuan Yu China 12 499 1.9× 207 1.5× 282 2.5× 101 1.1× 59 0.8× 55 672
Akrem Sellami France 11 316 1.2× 136 1.0× 205 1.8× 90 1.0× 41 0.6× 18 562
Bo Du China 9 464 1.8× 194 1.4× 306 2.7× 69 0.7× 66 0.9× 14 600
David Valencia Spain 12 315 1.2× 146 1.1× 169 1.5× 114 1.2× 93 1.3× 40 542
María Díaz Spain 13 187 0.7× 141 1.0× 53 0.5× 37 0.4× 62 0.8× 26 384
Claude Cariou France 10 235 0.9× 169 1.2× 104 0.9× 62 0.7× 54 0.7× 37 411
Erting Pan China 9 356 1.4× 158 1.2× 196 1.8× 41 0.4× 49 0.7× 20 463

Countries citing papers authored by Michał Myller

Since Specialization
Citations

This map shows the geographic impact of Michał Myller'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 Michał Myller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Myller more than expected).

Fields of papers citing papers by Michał Myller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Myller. 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 Michał Myller. The network helps show where Michał Myller may publish in the future.

Co-authorship network of co-authors of Michał Myller

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Myller. A scholar is included among the top collaborators of Michał Myller 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 Michał Myller. Michał Myller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Myller, Michał, et al.. (2024). Standardized validation of vehicle routing algorithms. Applied Intelligence. 54(2). 1335–1364. 1 indexed citations
2.
Myller, Michał, et al.. (2024). Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 695–698.
3.
Nalepa, Jakub, et al.. (2022). Evaluating algorithms for anomaly detection in satellite telemetry data. Acta Astronautica. 198. 689–701. 27 indexed citations
4.
Myller, Michał, et al.. (2022). Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 12. 175–178. 2 indexed citations
5.
Nalepa, Jakub, et al.. (2022). The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. 2022 IEEE International Conference on Image Processing (ICIP). 4268–4272. 16 indexed citations
6.
Myller, Michał, et al.. (2021). Benchmarking Deep Learning for On-Board Space Applications. Remote Sensing. 13(19). 3981–3981. 20 indexed citations
7.
Nalepa, Jakub, et al.. (2021). Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote Sensing. 13(20). 4133–4133. 17 indexed citations
8.
Myller, Michał, et al.. (2021). Predicting risk of satellite collisions using machine learning. Journal of Space Safety Engineering. 8(4). 339–344. 4 indexed citations
9.
10.
Nalepa, Jakub, et al.. (2020). Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. IEEE Geoscience and Remote Sensing Letters. 17(11). 1948–1952. 55 indexed citations
11.
Nalepa, Jakub, et al.. (2020). Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocessors and Microsystems. 73. 102994–102994. 45 indexed citations
12.
Nalepa, Jakub, et al.. (2020). Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. 10. 866–869. 5 indexed citations
13.
Nalepa, Jakub, Michał Myller, Michał Kawulok, & Bogdan Smołka. (2019). On data augmentation for segmenting hyperspectral images. 25. 8–8. 4 indexed citations
14.
Nalepa, Jakub, Michał Myller, & Michał Kawulok. (2019). Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geoscience and Remote Sensing Letters. 17(2). 292–296. 83 indexed citations
15.
Nalepa, Jakub, Michał Myller, & Michał Kawulok. (2019). Validating Hyperspectral Image Segmentation. IEEE Geoscience and Remote Sensing Letters. 16(8). 1264–1268. 75 indexed citations
16.
Nalepa, Jakub, Michał Myller, & Michał Kawulok. (2019). Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters. 17(7). 1228–1232. 29 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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