Roger Labahn
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Conservation top 10%
Papers in
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- Cellular Automata and Applications 6
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- Handwritten Text Recognition Techniques 8
- Image Processing and 3D Reconstruction 4
- Co-authors
- Tobias Strauß (5 shared papers)Tobias Grüning (4 shared papers)Guillaume Fertin (1 shared paper)Stephen T. Hedetniemi (1 shared paper)Renu C. Laskar (1 shared paper)Marko Blatzheim (2 shared papers)Holger Niemann (1 shared paper)Hauke Hölbe (2 shared papers)
In The Last Decade
Roger Labahn
29 papers receiving 361 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 130
- Conservation 15
- Artificial Intelligence 139
- Computer Networks and Communications 94
- Media Technology 28
Countries citing papers authored by Roger Labahn
This map shows the geographic impact of Roger Labahn'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 Roger Labahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Labahn more than expected).
Fields of papers citing papers by Roger Labahn
This network shows the impact of papers produced by Roger Labahn. 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 Roger Labahn. The network helps show where Roger Labahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Roger Labahn, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2012 | 67 | |
| 3 | 2018 | 29 | |
| 4 | 2017 | 25 | |
| 5 | 1993 | 22 | |
| 6 | 2018 | 20 | |
| 7 | 1994 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 1994 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2000 | 10 | |
| 12 | 1990 | 10 | |
| 13 | 1995 | 10 | |
| 14 | The telephone problem for trees | 1986 | 9 |
| 15 | 1993 | 7 | |
| 16 | 1994 | 7 | |
| 17 | 1989 | 6 | |
| 18 | CITlab ARGUS for Keyword Search in Historical Handwritten Documents - Description of CITlab's System for the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. | 2016 | 5 |
| 19 | 2018 | 5 | |
| 20 | 2020 | 5 |
About Roger Labahn
Roger Labahn is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Geometry and Topology and Media Technology, having authored 29 papers that have together received 386 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Cellular Automata and Applications (6 papers), Natural Language Processing Techniques (4 papers), Image Processing and 3D Reconstruction (4 papers), Vehicle License Plate Recognition (3 papers), Graph theory and applications (3 papers), Magnetic confinement fusion research (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Conservation (15 citations), Artificial Intelligence (139 citations), Computer Networks and Communications (94 citations) and Media Technology (28 citations). Roger Labahn has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Tobias Strauß, Tobias Grüning, Guillaume Fertin, Stephen T. Hedetniemi, Renu C. Laskar, Marko Blatzheim, Holger Niemann, Hauke Hölbe, Markus Diem and Florian Kleber. Their work appears in journals such as Discrete Applied Mathematics, Discrete Mathematics, Nuclear Fusion, Networks and Neural Networks.
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.