Robert Bensch
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 1%
- Image Processing Techniques and Applications
Papers in
-
- Robotic Path Planning Algorithms 2
- Geology 2
- 3D Surveying and Cultural Heritage 2
- Co-authors
- Olaf Ronneberger (10 shared papers)Sungmin Song (1 shared paper)Wolfgang Driever (1 shared paper)Christian Fleck (3 shared papers)Martin Hülskamp (2 shared papers)Katja Wester (2 shared papers)Takayuki Yasunaga (1 shared paper)Barbara Theresia Müller (1 shared paper)
- Journals
- Nature Methods (2 papers)The Journal of Cell Biology (1 paper)Molecular Biology of the Cell (1 paper)International Journal of Computer Vision (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
Robert Bensch
16 papers receiving 2.0k citations
Robert Bensch's Hit Papers
Peers
Comparison fields: 5 of 147
- Biophysics 718
- Media Technology 323
- Structural Biology 47
- Computer Vision and Pattern Recognition 460
- Health Informatics 22
Countries citing papers authored by Robert Bensch
This map shows the geographic impact of Robert Bensch'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 Robert Bensch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Bensch more than expected).
Fields of papers citing papers by Robert Bensch
This network shows the impact of papers produced by Robert Bensch. 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 Robert Bensch. The network helps show where Robert Bensch may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Bensch, 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 | U-Net: deep learning for cell counting, detection, and morphometry Hit paper breakdown → | 2018 | 1422 |
| 2 | 2017 | 383 | |
| 3 | 2015 | 47 | |
| 4 | 2015 | 43 | |
| 5 | 2018 | 28 | |
| 6 | 2013 | 22 | |
| 7 | 2015 | 17 | |
| 8 | 2009 | 14 | |
| 9 | 2012 | 11 | |
| 10 | 2018 | 8 | |
| 11 | 2016 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2024 | 1 |
About Robert Bensch
Robert Bensch is a scholar working on Computer Vision and Pattern Recognition, Geology, Biophysics, Aerospace Engineering and Artificial Intelligence, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Plant Reproductive Biology (2 papers), Plant Molecular Biology Research (2 papers), Plant and Biological Electrophysiology Studies (2 papers), 3D Surveying and Cultural Heritage (2 papers), Robotic Path Planning Algorithms (2 papers), Cell Image Analysis Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (718 citations), Media Technology (323 citations), Structural Biology (47 citations), Computer Vision and Pattern Recognition (460 citations) and Health Informatics (22 citations). Robert Bensch has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Olaf Ronneberger, Sungmin Song, Wolfgang Driever, Christian Fleck, Martin Hülskamp, Katja Wester, Takayuki Yasunaga, Barbara Theresia Müller, Tobias Bruno Huber and Martin Helmstädter. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, Molecular Biology of the Cell, International Journal of Computer Vision and SAE technical papers on CD-ROM/SAE technical paper series.
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.