Matthias Luber
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Social Psychology top 10%
- Ocean Engineering top 5%
- Co-authors
- Kai O. ArrasLuciano SpinelloGian Diego TipaldiJohannes A. StorkWolfram BurgardSlawomir GrzonkaMarco RagniVanessa Evers
- Topics
- Video Surveillance and Tracking Methods (8 papers)Anomaly Detection Techniques and Applications (7 papers)Evacuation and Crowd Dynamics (5 papers)
- Journals
- The International Journal of Robotics ResearchAutonomous RobotsUniversity of Twente Research Information
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Matthias Luber
12 papers receiving 749 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 564
- Artificial Intelligence 249
- Automotive Engineering 155
- Social Psychology 149
- Ocean Engineering 147
Countries citing papers authored by Matthias Luber
This map shows the geographic impact of Matthias Luber'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 Matthias Luber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Luber more than expected).
Fields of papers citing papers by Matthias Luber
This network shows the impact of papers produced by Matthias Luber. 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 Matthias Luber. The network helps show where Matthias Luber may publish in the future.
Co-authorship network of co-authors of Matthias Luber
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Luber. A scholar is included among the top collaborators of Matthias Luber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Luber. Matthias Luber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 48 | |
| 3 | 98 | |
| 4 | 75 | |
| 5 | 44 | |
| 6 | 15 | |
| 7 | 117 | |
| 8 | 8 | |
| 9 | 207 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 113 | |
| 13 | ResQ Freiburg: Team Description and Evaluation | 2 |
About Matthias Luber
Matthias Luber is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Artificial Intelligence, having authored 13 papers that have together received 776 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Evacuation and Crowd Dynamics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (564 citations), Automotive Engineering (155 citations) and Human-Computer Interaction (54 citations). Matthias Luber has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Kai O. Arras, Luciano Spinello, Gian Diego Tipaldi, Johannes A. Stork, Wolfram Burgard, Slawomir Grzonka, Marco Ragni, Vanessa Evers, Christian Becker-Asano and Christian Plagemann. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and University of Twente Research Information.
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.