Thomas Läbe
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 6
- Advanced Vision and Imaging 4
- Optical measurement and interference techniques 3
-
- Smart Agriculture and AI 10
- Co-authors
- Cyrill Stachniss (15 shared papers)Nived Chebrolu (4 shared papers)Jens Behley (9 shared papers)Federico Magistri (5 shared papers)Andres Milioto (1 shared paper)Xieyuanli Chen (1 shared paper)Johannes Schneider (3 shared papers)Wolfgang Förstner (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (7 papers)Atmospheric chemistry and physics (1 paper)Sensors (1 paper)Autonomous Robots (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Thomas Läbe
21 papers receiving 571 citations
Peers
Comparison fields: 5 of 69
- Geology 121
- Environmental Engineering 163
- Computer Vision and Pattern Recognition 226
- Aerospace Engineering 259
- Plant Science 214
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 99 | |
| 2 | 2018 | 71 | |
| 3 | 2017 | 43 | |
| 4 | 2013 | 41 | |
| 5 | 2019 | 40 | |
| 6 | 2022 | 37 | |
| 7 | 2021 | 36 | |
| 8 | 2020 | 31 | |
| 9 | 2013 | 25 | |
| 10 | GEOMETRIC STABILITY OF LOW-COST DIGITAL CONSUMER CAMERAS | 2012 | 25 |
| 11 | 2016 | 24 | |
| 12 | AUTOMATIC RELATIVE ORIENTATION OF IMAGES 1 | 2008 | 22 |
| 13 | 2023 | 21 | |
| 14 | 2022 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2023 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2023 | 4 | |
| 19 | 1 Trajectory Reconstruction Using Long Sequences of Digital Images From an Omnidirectional Camera | 2015 | 3 |
| 20 | 2025 | 2 |
About Thomas Läbe
Thomas Läbe is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Aerospace Engineering, Environmental Engineering and Geology, having authored 23 papers that have together received 589 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Robotics and Sensor-Based Localization (9 papers), Remote Sensing and LiDAR Applications (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), 3D Surveying and Cultural Heritage (5 papers), Advanced Vision and Imaging (4 papers), Satellite Image Processing and Photogrammetry (3 papers) and Optical measurement and interference techniques (3 papers). The work is most often cited by research in Geology (121 citations), Environmental Engineering (163 citations), Computer Vision and Pattern Recognition (226 citations), Aerospace Engineering (259 citations) and Plant Science (214 citations). Thomas Läbe has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Cyrill Stachniss, Nived Chebrolu, Jens Behley, Federico Magistri, Andres Milioto, Xieyuanli Chen, Johannes Schneider, Wolfgang Förstner, Philipp Lottes and Chris McCool. Their work appears in journals such as IEEE Robotics and Automation Letters, Atmospheric chemistry and physics, Sensors, Autonomous Robots and PLoS ONE.
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.