Max Schwarz
Impact in
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Human-Computer Interaction top 5%
Papers in
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- Robotic Path Planning Algorithms 7
- Advanced Neural Network Applications 5
- Generative Adversarial Networks and Image Synthesis 3
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- Robotics and Sensor-Based Localization 16
- Co-authors
- Sven Behnke (33 shared papers)Hannes Schulz (1 shared paper)Arul Selvam Periyasamy (7 shared papers)David Droeschel (5 shared papers)Michael Schreiber (9 shared papers)Christian Lenz (7 shared papers)Anton Milan (2 shared papers)Jörg Stückler (3 shared papers)
In The Last Decade
Max Schwarz
32 papers receiving 918 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 466
- Human-Computer Interaction 114
- Control and Systems Engineering 355
- Geology 73
- Aerospace Engineering 296
Countries citing papers authored by Max Schwarz
This map shows the geographic impact of Max Schwarz'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 Max Schwarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Schwarz more than expected).
Fields of papers citing papers by Max Schwarz
This network shows the impact of papers produced by Max Schwarz. 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 Max Schwarz. The network helps show where Max Schwarz may publish in the future.
Co-authors
The 22 scholars most cited alongside Max Schwarz, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 210 | |
| 2 | 2017 | 107 | |
| 3 | 2016 | 100 | |
| 4 | 2019 | 82 | |
| 5 | 2016 | 78 | |
| 6 | 2009 | 51 | |
| 7 | 2017 | 46 | |
| 8 | 2016 | 39 | |
| 9 | 2021 | 35 | |
| 10 | 2015 | 25 | |
| 11 | 2023 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2014 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 15 | |
| 16 | Local Navigation in Rough Terrain using Omnidirectional Height | 2014 | 14 |
| 17 | 2018 | 13 | |
| 18 | 2024 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2023 | 9 |
About Max Schwarz
Max Schwarz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering, having authored 34 papers that have together received 967 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (16 papers), Robot Manipulation and Learning (10 papers), Robotic Path Planning Algorithms (7 papers), Teleoperation and Haptic Systems (6 papers), Robotics and Automated Systems (6 papers), Advanced Neural Network Applications (5 papers), Robotic Locomotion and Control (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (466 citations), Human-Computer Interaction (114 citations), Control and Systems Engineering (355 citations), Geology (73 citations) and Aerospace Engineering (296 citations). Max Schwarz has collaborated with scholars based in Germany and Australia. Frequent co-authors include Sven Behnke, Hannes Schulz, Arul Selvam Periyasamy, David Droeschel, Michael Schreiber, Christian Lenz, Anton Milan, Jörg Stückler, Michael Weinmann and Reinhard Klein. Their work appears in journals such as Journal of Field Robotics, Robotics and Autonomous Systems, International Journal of Social Robotics, The International Journal of Robotics Research and Computer Graphics Forum.
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.