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
- Co-authors
- Sven BehnkeHannes SchulzArul Selvam PeriyasamyDavid DroeschelChristian LenzMichael SchreiberAnton MilanJörg Stückler
In The Last Decade
Max Schwarz
31 papers receiving 900 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 457
- Human-Computer Interaction 112
- Control and Systems Engineering 351
- Geology 71
- Aerospace Engineering 294
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 21 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 35 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 79 | |
| 11 | 2018 | 7 | |
| 12 | 2017 | 46 | |
| 13 | 2016 | 18 | |
| 14 | 2016 | 39 | |
| 15 | 2016 | 77 | |
| 16 | 2016 | 98 | |
| 17 | 2015 | 22 | |
| 18 | 2015 | 3 | |
| 19 | Local Navigation in Rough Terrain using Omnidirectional Height | 2014 | 14 |
| 20 | 2009 | 51 |
About Max Schwarz
Max Schwarz is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Architecture, Control and Systems Engineering and Aerospace Engineering, having authored 33 papers that have together received 950 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), Robotics and Automated Systems (6 papers), Teleoperation and Haptic 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 (457 citations), Human-Computer Interaction (112 citations), Control and Systems Engineering (351 citations), Geology (71 citations) and Aerospace Engineering (294 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, Christian Lenz, Michael Schreiber, Anton Milan, Jörg Stückler, Michael Weinmann and Patrick Stotko. Their work appears in journals such as Journal of Field Robotics, Robotics and Autonomous Systems, The International Journal of Robotics Research, Computer Graphics Forum and International Journal of Social Robotics.
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.