Florian Becker
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Advanced Neural Network Applications
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- Advanced Optical Sensing Technologies
Papers in
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- Image and Signal Denoising Methods 10
- Advanced Vision and Imaging 6
- Medical Image Segmentation Techniques 2
- Advanced Neural Network Applications 1
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- Fluid Dynamics and Turbulent Flows 3
- Co-authors
- Christoph Schnörr (19 shared papers)Jan Lellmann (6 shared papers)Jörg Hendrik Kappes (3 shared papers)Jing Yun Yuan (2 shared papers)Frank Lenzen (11 shared papers)Stefania Petra (5 shared papers)Joachim Weickert (2 shared papers)Martin Welk (2 shared papers)
- Journals
- Lecture notes in computer science (10 papers)International Journal of Computer Vision (1 paper)Computational Optimization and Applications (1 paper)Journal of Mathematical Imaging and Vision (1 paper)Signal Processing (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Florian Becker
21 papers receiving 340 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 265
- Instrumentation 13
- Computational Theory and Mathematics 40
- Computational Mechanics 40
- Mathematical Physics 13
Countries citing papers authored by Florian Becker
This map shows the geographic impact of Florian Becker'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 Florian Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Becker more than expected).
Fields of papers citing papers by Florian Becker
This network shows the impact of papers produced by Florian Becker. 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 Florian Becker. The network helps show where Florian Becker may publish in the future.
Co-authors
The 18 scholars most cited alongside Florian Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 116 | |
| 2 | 2009 | 46 | |
| 3 | 2006 | 38 | |
| 4 | 2012 | 32 | |
| 5 | 2011 | 28 | |
| 6 | 2013 | 20 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 11 | |
| 9 | 2005 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2008 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2005 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2016 | 3 | |
| 20 | Variational Correlation Approach to Flow Measurement with Window Adaption | 2008 | 1 |
About Florian Becker
Florian Becker is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Instrumentation, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 21 papers that have together received 362 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Advanced Vision and Imaging (6 papers), Fluid Dynamics and Turbulent Flows (3 papers), Robotics and Sensor-Based Localization (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Neural Network Applications (1 paper) and Optimization and Variational Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (265 citations), Instrumentation (13 citations), Computational Theory and Mathematics (40 citations), Computational Mechanics (40 citations) and Mathematical Physics (13 citations). Florian Becker has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Christoph Schnörr, Jan Lellmann, Jörg Hendrik Kappes, Jing Yun Yuan, Frank Lenzen, Stefania Petra, Joachim Weickert, Martin Welk, Bernhard Wieneke and Bernhard Burgeth. Their work appears in journals such as Lecture notes in computer science, International Journal of Computer Vision, Computational Optimization and Applications, Journal of Mathematical Imaging and Vision and Signal Processing.
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.