Lorenz Mösenlechner
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Michael BeetzMoritz TenorthDejan PangercicDominik JainAlexis MaldonadoJonathan BohrenCaroline PantofaruRadu Bogdan Rusu
- Topics
- AI-based Problem Solving and Planning (8 papers)Robot Manipulation and Learning (7 papers)Robotics and Sensor-Based Localization (7 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Lorenz Mösenlechner
22 papers receiving 759 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 413
- Artificial Intelligence 394
- Computer Vision and Pattern Recognition 277
- Mechanical Engineering 143
- Aerospace Engineering 101
Countries citing papers authored by Lorenz Mösenlechner
This map shows the geographic impact of Lorenz Mösenlechner'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 Lorenz Mösenlechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Mösenlechner more than expected).
Fields of papers citing papers by Lorenz Mösenlechner
This network shows the impact of papers produced by Lorenz Mösenlechner. 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 Lorenz Mösenlechner. The network helps show where Lorenz Mösenlechner may publish in the future.
Co-authorship network of co-authors of Lorenz Mösenlechner
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenz Mösenlechner. A scholar is included among the top collaborators of Lorenz Mösenlechner 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 Lorenz Mösenlechner. Lorenz Mösenlechner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 18 | |
| 3 | 5 | |
| 4 | Knowledge Enabled High-Level Task Abstraction and Execution | 6 |
| 5 | 41 | |
| 6 | CRAM -- a Cognitive Robot Abstract Machine | 5 |
| 7 | 29 | |
| 8 | 145 | |
| 9 | 24 | |
| 10 | 170 | |
| 11 | 12 | |
| 12 | 26 | |
| 13 | 128 | |
| 14 | Transformational planning for mobile manipulation based on action-related places | 5 |
| 15 | 22 | |
| 16 | 29 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | Player/Stage as Middleware for Ubiquitous Computing | 4 |
| 20 | Sketch-A-Move - Design Inspired Technology for Children | 2 |
About Lorenz Mösenlechner
Lorenz Mösenlechner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 22 papers that have together received 815 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Robot Manipulation and Learning (7 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Control and Systems Engineering (413 citations), Computer Vision and Pattern Recognition (277 citations) and Artificial Intelligence (394 citations). Lorenz Mösenlechner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Michael Beetz, Moritz Tenorth, Dejan Pangercic, Dominik Jain, Alexis Maldonado, Jonathan Bohren, Caroline Pantofaru, Radu Bogdan Rusu, Thomas Rühr and Melonee Wise. Their work appears in journals such as Proceedings of the IEEE, Neural Networks and Robotics and Autonomous Systems.
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.