Bertram Drost
Impact in
- Geology top 2%
- 3D Surveying and Cultural Heritage
-
- Image and Object Detection Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
Papers in
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- Robotics and Sensor-Based Localization 8
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- Image and Object Detection Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
- Image Processing and 3D Reconstruction 1
- Co-authors
- Slobodan Ilić (4 shared papers)Markus Ulrich (2 shared papers)Nassir Navab (1 shared paper)Carsten Steger (1 shared paper)Paul Bergmann (1 shared paper)Jiřı́ Matas (2 shared papers)Federico Tombari (1 shared paper)Eric Brachmann (2 shared papers)
- Journals
- Machine Vision and Applications (1 paper)Computer Vision and Image Understanding (1 paper)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (1 paper)
In The Last Decade
Bertram Drost
8 papers receiving 833 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Geology 277
- Computer Vision and Pattern Recognition 527
- Aerospace Engineering 584
- Control and Systems Engineering 328
- Industrial and Manufacturing Engineering 78
Countries citing papers authored by Bertram Drost
This map shows the geographic impact of Bertram Drost'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 Bertram Drost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bertram Drost more than expected).
Fields of papers citing papers by Bertram Drost
This network shows the impact of papers produced by Bertram Drost. 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 Bertram Drost. The network helps show where Bertram Drost may publish in the future.
Co-authors
The 16 scholars most cited alongside Bertram Drost, 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 | Model globally, match locally: Efficient and robust 3D object recognition Hit paper breakdown → | 2010 | 631 |
| 2 | 2017 | 89 | |
| 3 | 2012 | 53 | |
| 4 | 2023 | 31 | |
| 5 | 2017 | 26 | |
| 6 | 2015 | 19 | |
| 7 | 2024 | 14 | |
| 8 | 2017 | 6 | |
| 9 | Point Cloud Computing for Rigid and Deformable 3D Object Recognition | 2016 | 1 |
About Bertram Drost
Bertram Drost is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Control and Systems Engineering and Computational Mechanics, having authored 9 papers that have together received 870 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (6 papers), Image and Object Detection Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers), Image Processing and 3D Reconstruction (1 paper), 3D Shape Modeling and Analysis (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Geology (277 citations), Computer Vision and Pattern Recognition (527 citations), Aerospace Engineering (584 citations), Control and Systems Engineering (328 citations) and Industrial and Manufacturing Engineering (78 citations). Bertram Drost has collaborated with scholars based in Germany, Czechia and France. Frequent co-authors include Slobodan Ilić, Markus Ulrich, Nassir Navab, Carsten Steger, Paul Bergmann, Jiřı́ Matas, Federico Tombari, Eric Brachmann, Anders Glent Buch and Carsten Rother. Their work appears in journals such as Machine Vision and Applications, Computer Vision and Image Understanding and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).
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.