Jacek Naruniec
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Media Technology top 5%
- Artificial Intelligence
- Co-authors
- Zbigniew WojnaM. KowalskiChristopher SchroersKrzysztof WróbelRafał DorozPiotr PorwikJanusz BędkowskiKarol Majek
- Topics
- Face and Expression Recognition (7 papers)Face recognition and analysis (7 papers)Biometric Identification and Security (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringMedia Technology
- Journals
- Image and Vision ComputingEngineering Applications of Artificial IntelligenceComputer Graphics Forum
- Partner nations
- PolandSwitzerlandUnited States
In The Last Decade
Jacek Naruniec
17 papers receiving 718 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 550
- Aerospace Engineering 168
- Industrial and Manufacturing Engineering 88
- Media Technology 77
- Artificial Intelligence 68
Countries citing papers authored by Jacek Naruniec
This map shows the geographic impact of Jacek Naruniec'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 Jacek Naruniec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek Naruniec more than expected).
Fields of papers citing papers by Jacek Naruniec
This network shows the impact of papers produced by Jacek Naruniec. 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 Jacek Naruniec. The network helps show where Jacek Naruniec may publish in the future.
Co-authorship network of co-authors of Jacek Naruniec
This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Naruniec. A scholar is included among the top collaborators of Jacek Naruniec 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 Jacek Naruniec. Jacek Naruniec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 73 | |
| 5 | Augmentation for small object detectionbreakdown → | 512 |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 85 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | Face Detection Using Discrete Gabor Jets And Color Information | 0 |
| 17 | 0 | |
| 18 | 2 | |
| 19 | 3 |
About Jacek Naruniec
Jacek Naruniec is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 19 papers that have together received 748 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Face recognition and analysis (7 papers) and Biometric Identification and Security (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (550 citations), Industrial and Manufacturing Engineering (88 citations) and Media Technology (77 citations). Jacek Naruniec has collaborated with scholars based in Poland, Switzerland and United States. Frequent co-authors include Zbigniew Wojna, M. Kowalski, Christopher Schroers, Krzysztof Wróbel, Rafał Doroz, Piotr Porwik, Janusz Będkowski, Karol Majek, Stanisław Szlufik and Markus Groß. Their work appears in journals such as Image and Vision Computing, Engineering Applications of Artificial Intelligence and Computer Graphics Forum.
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.