Lukas Luft
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Robotics and Sensor-Based Localization 5
-
- Remote Sensing and LiDAR Applications 4
- Co-authors
- Wolfram Burgard (8 shared papers)Alexander Schaefer (7 shared papers)Tobias Schubert (3 shared papers)Stergios I. Roumeliotis (2 shared papers)Rafael Oliveira Chaves (2 shared papers)David R Gross (2 shared papers)Johan Vertens (2 shared papers)Daniel Buscher (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)New Journal of Physics (1 paper)The International Journal of Robotics Research (1 paper)Robotics and Autonomous Systems (1 paper)Autonomous Robots (1 paper)
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
Lukas Luft
12 papers receiving 272 citations
Peers
Comparison fields: 5 of 34
- Aerospace Engineering 170
- Geology 34
- Environmental Engineering 55
- Artificial Intelligence 100
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Lukas Luft
This map shows the geographic impact of Lukas Luft'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 Lukas Luft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Luft more than expected).
Fields of papers citing papers by Lukas Luft
This network shows the impact of papers produced by Lukas Luft. 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 Lukas Luft. The network helps show where Lukas Luft may publish in the future.
Co-authors
The 12 scholars most cited alongside Lukas Luft, 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 | 2018 | 66 | |
| 2 | Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans | 2019 | 56 |
| 3 | 2014 | 47 | |
| 4 | 2016 | 35 | |
| 5 | 2020 | 21 | |
| 6 | 2017 | 20 | |
| 7 | 2018 | 8 | |
| 8 | Inferring latent structures via information inequalities | 2014 | 7 |
| 9 | 2018 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2025 | 2 | |
| 12 | 2019 | 1 |
About Lukas Luft
Lukas Luft is a scholar working on Aerospace Engineering, Environmental Engineering, Instrumentation, Artificial Intelligence and Geology, having authored 12 papers that have together received 277 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Remote Sensing and LiDAR Applications (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Statistical Mechanics and Entropy (2 papers), Bayesian Modeling and Causal Inference (2 papers), 3D Surveying and Cultural Heritage (2 papers), Optical measurement and interference techniques (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Aerospace Engineering (170 citations), Geology (34 citations), Environmental Engineering (55 citations), Artificial Intelligence (100 citations) and Computer Vision and Pattern Recognition (63 citations). Lukas Luft has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Wolfram Burgard, Alexander Schaefer, Tobias Schubert, Stergios I. Roumeliotis, Rafael Oliveira Chaves, David R Gross, Johan Vertens, Daniel Buscher, Dominik Janzing and Bernhard Schölkopf. Their work appears in journals such as IEEE Robotics and Automation Letters, New Journal of Physics, The International Journal of Robotics Research, Robotics and Autonomous Systems and Autonomous Robots.
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.