Florian Becker
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Computational Mechanics
- Electrical and Electronic Engineering
- Co-authors
- Christoph SchnörrJan LellmannStefania PetraJohannes GasteigerSina StockerFrank LenzenJohannes T. MargrafStephan Günnemann
- Topics
- Advanced Vision and Imaging (5 papers)Robotics and Sensor-Based Localization (4 papers)Image and Signal Denoising Methods (3 papers)
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Computer VisionSignal Processing
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Florian Becker
22 papers receiving 233 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 84
- Materials Chemistry 47
- Computational Theory and Mathematics 40
- Computational Mechanics 39
- Electrical and Electronic Engineering 28
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-authorship network of co-authors of Florian Becker
This figure shows the co-authorship network connecting the top 25 collaborators of Florian Becker. A scholar is included among the top collaborators of Florian Becker 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 Florian Becker. Florian Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 47 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 26 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 32 | |
| 17 | Variational Correlation Approach to Flow Measurement with Window Adaption | 1 |
| 18 | 12 | |
| 19 | Benefit-risk analysis of different risk-related surveillance schedules following colorectal polypectomy. | 5 |
| 20 | 27 |
About Florian Becker
Florian Becker is a scholar working on Computational Mathematics, Visual Arts and Performing Arts and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 245 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (84 citations) and Computational Theory and Mathematics (40 citations). Florian Becker has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Christoph Schnörr, Jan Lellmann, Stefania Petra, Johannes Gasteiger, Sina Stocker, Frank Lenzen, Johannes T. Margraf, Stephan Günnemann, Joachim Weickert and Bernhard Burgeth. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer 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.