Thomas Läbe
Impact in
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
-
- Robotics and Sensor-Based Localization 13
-
- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Cyrill Stachniss (19 shared papers)Nived Chebrolu (5 shared papers)Jens Behley (12 shared papers)Xieyuanli Chen (2 shared papers)Ignacio Vizzo (2 shared papers)Federico Magistri (5 shared papers)Andres Milioto (1 shared paper)Olga Vysotska (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (8 papers)Autonomous Robots (1 paper)PLoS ONE (1 paper)Sensors (1 paper)Atmospheric chemistry and physics (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Thomas Läbe
25 papers receiving 809 citations
Peers
Comparison fields: 5 of 47
- Aerospace Engineering 375
- Geology 88
- Plant Science 255
- Computer Vision and Pattern Recognition 114
- Computational Mechanics 106
Countries citing papers authored by Thomas Läbe
This map shows the geographic impact of Thomas Läbe'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 Thomas Läbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Läbe more than expected).
Fields of papers citing papers by Thomas Läbe
This network shows the impact of papers produced by Thomas Läbe. 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 Thomas Läbe. The network helps show where Thomas Läbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Läbe, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2021 | 107 | |
| 3 | 2018 | 76 | |
| 4 | 2021 | 70 | |
| 5 | 2017 | 45 | |
| 6 | 2021 | 45 | |
| 7 | 2019 | 43 | |
| 8 | 2013 | 42 | |
| 9 | 2022 | 40 | |
| 10 | 2020 | 34 | |
| 11 | GEOMETRIC STABILITY OF LOW-COST DIGITAL CONSUMER CAMERAS | 2012 | 25 |
| 12 | 2013 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2023 | 24 | |
| 15 | 2023 | 24 | |
| 16 | 2022 | 22 | |
| 17 | AUTOMATIC RELATIVE ORIENTATION OF IMAGES 1 | 2008 | 21 |
| 18 | 2023 | 19 | |
| 19 | 2012 | 16 | |
| 20 | 2020 | 4 |
About Thomas Läbe
Thomas Läbe is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Plant Science and Geology, having authored 27 papers that have together received 828 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Smart Agriculture and AI (9 papers), Advanced Vision and Imaging (6 papers), 3D Shape Modeling and Analysis (6 papers), 3D Surveying and Cultural Heritage (3 papers), Satellite Image Processing and Photogrammetry (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Aerospace Engineering (375 citations), Geology (88 citations), Plant Science (255 citations), Computer Vision and Pattern Recognition (114 citations) and Computational Mechanics (106 citations). Thomas Läbe has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Cyrill Stachniss, Nived Chebrolu, Jens Behley, Xieyuanli Chen, Ignacio Vizzo, Federico Magistri, Andres Milioto, Olga Vysotska, Wolfgang Förstner and Philipp Lottes. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, PLoS ONE, Sensors and Atmospheric chemistry and physics.
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.