Maren Bennewitz
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- Robotic Path Planning Algorithms 56
- Human Pose and Action Recognition 26
- Video Surveillance and Tracking Methods 12
- Aerospace Engineering top 0.2%
- Robotics and Sensor-Based Localization 53
- Geology top 1%
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 20
- Human-Computer Interaction top 1%
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- Robotic Locomotion and Control 39
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- Social Robot Interaction and HRI 16
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- Reinforcement Learning in Robotics 13
- Co-authors
- Wolfram BurgardArmin HornungCyrill StachnissKai M. WurmSebastian ThrunFelix BurgetGrzegorz CielniakSven Behnke
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Maren Bennewitz
129 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 3.7k
- Aerospace Engineering 2.6k
- Geology 393
- Control and Systems Engineering 1.5k
- Human-Computer Interaction 278
Countries citing papers authored by Maren Bennewitz
This map shows the geographic impact of Maren Bennewitz'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 Maren Bennewitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maren Bennewitz more than expected).
Fields of papers citing papers by Maren Bennewitz
This network shows the impact of papers produced by Maren Bennewitz. 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 Maren Bennewitz. The network helps show where Maren Bennewitz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maren Bennewitz, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 12 | |
| 16 | 2013 | 56 | |
| 17 | 2011 | 3 | |
| 18 | 2009 | 4 | |
| 19 | Where is . •.? learning and utilizing motion patterns of persons with mobile robots | 2003 | 24 |
| 20 | 2000 | 356 |
About Maren Bennewitz
Maren Bennewitz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 142 papers that have together received 5.7k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (56 papers), Robotics and Sensor-Based Localization (53 papers), Robotic Locomotion and Control (39 papers), Human Pose and Action Recognition (26 papers), Robot Manipulation and Learning (20 papers), Social Robot Interaction and HRI (16 papers), Reinforcement Learning in Robotics (13 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.7k citations), Aerospace Engineering (2.6k citations) and Geology (393 citations). Maren Bennewitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Wolfram Burgard, Armin Hornung, Cyrill Stachniss, Kai M. Wurm, Sebastian Thrun, Felix Burget, Grzegorz Cielniak, Sven Behnke, Dirk Schulz and D. Fox.
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.