Jakub Nalepa

3.9k total citations · 1 hit paper
120 papers, 2.2k citations indexed

About

Jakub Nalepa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jakub Nalepa has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 40 papers in Media Technology. Recurrent topics in Jakub Nalepa's work include Remote-Sensing Image Classification (30 papers), Metaheuristic Optimization Algorithms Research (20 papers) and Advanced Image Fusion Techniques (19 papers). Jakub Nalepa is often cited by papers focused on Remote-Sensing Image Classification (30 papers), Metaheuristic Optimization Algorithms Research (20 papers) and Advanced Image Fusion Techniques (19 papers). Jakub Nalepa collaborates with scholars based in Poland, Italy and Switzerland. Jakub Nalepa's co-authors include Michał Kawulok, Pablo Ribalta Lorenzo, Michał Myller, Michał Marcinkiewicz, Luciano Sánchez, José Ranilla, Daniel Kostrzewa, Bogdan Smołka, Nicolas Longépé and Bertrand Le Saux and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Jakub Nalepa

112 papers receiving 2.2k citations

Hit Papers

Selecting training sets for support vector machines: a re... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Selecting training sets for support vector machines: a review
    2018 293 citations Jakub Nalepa, Michał Kawulok profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Nalepa Poland 24 849 664 565 204 200 120 2.2k
Michał Kawulok Poland 21 924 1.1× 465 0.7× 405 0.7× 116 0.6× 164 0.8× 91 1.9k
Xu Liu China 31 1.3k 1.5× 659 1.0× 875 1.5× 259 1.3× 226 1.1× 224 3.0k
Haikel Alhichri Saudi Arabia 24 869 1.0× 624 0.9× 815 1.4× 320 1.6× 109 0.5× 71 2.6k
Meng-Hao Guo China 7 1.3k 1.5× 591 0.9× 382 0.7× 78 0.4× 221 1.1× 23 2.6k
Liejun Wang China 22 843 1.0× 443 0.7× 542 1.0× 269 1.3× 202 1.0× 172 2.0k
Zheng-Ning Liu China 7 1.3k 1.5× 583 0.9× 379 0.7× 78 0.4× 218 1.1× 10 2.5k
Chih‐Cheng Hung United States 19 592 0.7× 440 0.7× 374 0.7× 189 0.9× 381 1.9× 130 1.7k
J. Anitha India 19 539 0.6× 473 0.7× 375 0.7× 131 0.6× 349 1.7× 118 1.5k
Yue Wu China 35 1.6k 1.8× 781 1.2× 1.2k 2.1× 628 3.1× 114 0.6× 211 4.1k

Countries citing papers authored by Jakub Nalepa

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Nalepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Nalepa

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

All Works

20 of 20 papers shown
1.
Nalepa, Jakub, et al.. (2025). Light-Cone Feature Selection in Methane Hyperspectral Images. Jagiellonian University Repository (Jagiellonian University). 2640–2644.
2.
Nalepa, Jakub, Agata M. Wijata, J.R. Mahon, et al.. (2025). Artificial intelligence and digital twins for the personalised prediction of hypertension risk. Computers in Biology and Medicine. 196(Pt A). 110718–110718. 3 indexed citations
3.
Nalepa, Jakub, et al.. (2025). Identifying wagon numbers using transformers. Engineering Applications of Artificial Intelligence. 143. 110000–110000. 1 indexed citations
4.
Przewozniczek, Michal W., et al.. (2025). On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. Proceedings of the Genetic and Evolutionary Computation Conference. 295–303.
5.
Przewozniczek, Michal W., et al.. (2024). CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. Proceedings of the Genetic and Evolutionary Computation Conference. 412–421. 1 indexed citations
6.
Miszalski‐Jamka, Karol, et al.. (2024). Highly Accurate Multi-vendor AI-based Algorithm For Coronary Artery Calcium Scoring. Journal of cardiovascular computed tomography. 18(1). S6–S6.
7.
8.
Nalepa, Jakub, et al.. (2024). Ensembles of evolutionarily-constructed support vector machine cascades. Knowledge-Based Systems. 288. 111490–111490. 4 indexed citations
9.
Kwiendacz, Hanna, Katarzyna Nabrdalik, Agata M. Wijata, et al.. (2023). Relationship of vitamin D deficiency to cardiovascular disease and glycemic control in patients with type 2 diabetes mellitus: The Silesia Diabetes-Heart Project. Polskie Archiwum Medycyny Wewnętrznej. 133(6).
10.
Andrzejewski, Jacek, et al.. (2023). OXI: An online tool for visualization and annotation of satellite time series data. SoftwareX. 23. 101476–101476. 3 indexed citations
11.
Nalepa, Jakub, et al.. (2023). Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. Computers in Biology and Medicine. 154. 106603–106603. 16 indexed citations
12.
Wijata, Agata M., Marco Celesti, Ferran Gascon, et al.. (2023). Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions. IEEE Geoscience and Remote Sensing Magazine. 11(2). 10–39. 34 indexed citations
13.
Nalepa, Jakub, et al.. (2022). Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. Computers in Biology and Medicine. 152. 106378–106378. 12 indexed citations
14.
Nalepa, Jakub, et al.. (2022). Segmenting pediatric optic pathway gliomas from MRI using deep learning. Computers in Biology and Medicine. 142. 105237–105237. 12 indexed citations
15.
Kawulok, Michał, et al.. (2022). Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 239–242. 4 indexed citations
16.
Nalepa, Jakub, et al.. (2022). Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 176–179. 1 indexed citations
17.
Myller, Michał, et al.. (2021). Benchmarking Deep Learning for On-Board Space Applications. Remote Sensing. 13(19). 3981–3981. 20 indexed citations
18.
Nalepa, Jakub, Michał Marcinkiewicz, & Michał Kawulok. (2019). Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers in Computational Neuroscience. 13. 83–83. 204 indexed citations
19.
Kawulok, Michał & Jakub Nalepa. (2014). Hand pose estimation using support vector machines with evolutionary training. International Conference on Systems, Signals and Image Processing. 87–90. 1 indexed citations
20.
Nalepa, Jakub & Zbigniew J. Czech. (2012). Adaptive threads co-operation schemes in a parallel heuristic algorithm for the vehicle routing problem with time windows. 24(3). 191–203. 2 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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