Jakub Nalepa
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 0.5%
- Atmospheric Science top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Michał KawulokPablo Ribalta LorenzoMichał MyllerMichał MarcinkiewiczJosé RanillaLuciano SánchezDaniel KostrzewaBogdan Smołka
- Topics
- Remote-Sensing Image Classification (30 papers)Metaheuristic Optimization Algorithms Research (20 papers)Advanced Image Fusion Techniques (19 papers)
- Partner nations
- PolandItalySwitzerland
In The Last Decade
Jakub Nalepa
112 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 849
- Artificial Intelligence 664
- Media Technology 565
- Atmospheric Science 204
- Radiology, Nuclear Medicine and Imaging 200
Countries citing papers authored by Jakub Nalepa
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 34 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 19 | |
| 15 | 12 | |
| 16 | 12 | |
| 17 | 204 | |
| 18 | 6 | |
| 19 | Hand pose estimation using support vector machines with evolutionary training | 1 |
| 20 | Adaptive threads co-operation schemes in a parallel heuristic algorithm for the vehicle routing problem with time windows | 2 |
About Jakub Nalepa
Jakub Nalepa is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 120 papers that have together received 2.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (30 papers), Metaheuristic Optimization Algorithms Research (20 papers) and Advanced Image Fusion Techniques (19 papers). The work is most often cited by research in Media Technology (565 citations), Computer Vision and Pattern Recognition (849 citations) and Neurology (174 citations). Jakub Nalepa has collaborated with scholars based in Poland, Italy and Switzerland. Frequent co-authors include Michał Kawulok, Pablo Ribalta Lorenzo, Michał Myller, Michał Marcinkiewicz, José Ranilla, Luciano Sánchez, Daniel Kostrzewa, Bogdan Smołka, Nicolas Longépé and Bertrand Le Saux. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism 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.