Florian Becker

674 citations
36 papers · 477 · h-index 12

Impact in

Papers in

Florian Becker

36 papers receiving 449 citations

Peers

Florian Becker
Comparison fields: 5 of 82
  • Computational Mathematics 12
  • Computer Vision and Pattern Recognition 260
  • Computational Mechanics 116
  • Computer Graphics and Computer-Aided Design 17
  • Instrumentation 13
Replace Stephan Didas with:
Stephan Didas Germany
Pavel Mrázek⋆ Germany
Andreas Weinmann Germany
Chengda Yang United States
Lénaïc Chizat France
Yifan Chen China
Arjuna Flenner United States
Tuomo Valkonen Finland
Luca Calatroni France
Florian Becker relative to Stephan Didas Germany Stephan Didas's profile →
Citations per field
00.5×1.5×2.2×
Stephan Didas · 1×
Citations per year

Countries citing papers authored by Florian Becker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Florian Becker Line = papers co-authored together Florian Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 202249
3 200946
4 200639
5 201230
6 201125
7 201119
8 201319
9 200712
10 202012
11 201312
12 201711
13 201310
14 20158
15 20058
16 20147
17
Benefit-risk analysis of different risk-related surveillance schedules following colorectal polypectomy.
20075
18 20235
19 20085
20 20115

About Florian Becker

Florian Becker is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Aerospace Engineering and Molecular Biology, having authored 36 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Sparse and Compressive Sensing Techniques (8 papers), Medical Image Segmentation Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Image Processing Techniques (5 papers), Optical measurement and interference techniques (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (260 citations), Computational Mechanics (116 citations), Computer Graphics and Computer-Aided Design (17 citations) and Instrumentation (13 citations). Florian Becker has collaborated with scholars based in Germany, Netherlands and Norway. Frequent co-authors include Christoph Schnörr, Jan Lellmann, Jörg Hendrik Kappes, Jing Yuan, Frank Lenzen, Stefania Petra, Stephan Günnemann, Johannes Gasteiger, Sina Stocker and Johannes T. Margraf. Their work appears in journals such as Modern Drama, Lecture notes in computer science, IEEE Antennas and Propagation Magazine, International Journal of Computer Vision and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

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.

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