Daniel Soukup
Impact in
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Currency Recognition and Detection
- Image Enhancement Techniques
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- Advanced Optical Imaging Technologies
- Image Processing Techniques and Applications
Papers in
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- Optical measurement and interference techniques 4
- Advanced Vision and Imaging 3
- Currency Recognition and Detection 3
- Image and Object Detection Techniques 2
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- Image Processing Techniques and Applications 5
- Advanced Optical Imaging Technologies 3
- Co-authors
- Reinhold Huber-Mörk (9 shared papers)Svorad Štolc (4 shared papers)Dorothea Heiss-Czedik (2 shared papers)Matthias Scheutz (1 shared paper)Konrad Mayer (2 shared papers)Ulrich Bodenhofer (1 shared paper)
- Journals
- Image and Vision Computing (1 paper)Journal of Visual Communication and Image Representation (1 paper)Computational Intelligence and Neuroscience (1 paper)Electronics (1 paper)Journal of Electronic Imaging (1 paper)
- Partner nations
- AustriaSlovakiaSwitzerland
In The Last Decade
Daniel Soukup
14 papers receiving 75 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 54
- Media Technology 20
- Computer Graphics and Computer-Aided Design 6
- Instrumentation 5
- Geology 5
Countries citing papers authored by Daniel Soukup
This map shows the geographic impact of Daniel Soukup'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 Daniel Soukup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soukup more than expected).
Fields of papers citing papers by Daniel Soukup
This network shows the impact of papers produced by Daniel Soukup. 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 Daniel Soukup. The network helps show where Daniel Soukup may publish in the future.
Co-authors
The 6 scholars most cited alongside Daniel Soukup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 12 | |
| 2 | 2008 | 11 | |
| 3 | 2019 | 9 | |
| 4 | 2015 | 7 | |
| 5 | 2015 | 7 | |
| 6 | 2009 | 7 | |
| 7 | 2017 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2007 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 2017 | 2 | |
| 14 | Fast and efficient colour inspection using sets of ellipsoidal regions | 2009 | 1 |
| 15 | 2022 | 0 | |
| 16 | 2009 | 0 |
About Daniel Soukup
Daniel Soukup is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 16 papers that have together received 79 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (5 papers), Optical measurement and interference techniques (4 papers), Advanced Optical Imaging Technologies (3 papers), Advanced Vision and Imaging (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Currency Recognition and Detection (3 papers), Image and Object Detection Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (54 citations), Media Technology (20 citations), Computer Graphics and Computer-Aided Design (6 citations), Instrumentation (5 citations) and Geology (5 citations). Daniel Soukup has collaborated with scholars based in Austria, Slovakia and Switzerland. Frequent co-authors include Reinhold Huber-Mörk, Svorad Štolc, Dorothea Heiss-Czedik, Matthias Scheutz, Konrad Mayer and Ulrich Bodenhofer. Their work appears in journals such as Image and Vision Computing, Journal of Visual Communication and Image Representation, Computational Intelligence and Neuroscience, Electronics and Journal of Electronic Imaging.
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.