Michael Suppa
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- Robotic Path Planning Algorithms 23
- Advanced Vision and Imaging 16
- Advanced Image and Video Retrieval Techniques 7
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 47
- Geology top 2%
- 3D Surveying and Cultural Heritage 12
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- Robot Manipulation and Learning 14
- Instrumentation top 10%
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- Modular Robots and Swarm Intelligence 8
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- Flexible and Reconfigurable Manufacturing Systems 5
- Co-authors
- Darius BurschkaKorbinian SchmidElmar MairFelix RuessTeodor TomićAndreas DömelHeiko HirschmüllerTim Bodenmüller
- Journals
- Computers in Industry (1 paper)International Journal of Cardiology (1 paper)Journal of Intelligent & Robotic Systems (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Michael Suppa
66 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 1.1k
- Aerospace Engineering 1.2k
- Geology 218
- Control and Systems Engineering 497
- Instrumentation 42
Countries citing papers authored by Michael Suppa
This map shows the geographic impact of Michael Suppa'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 Michael Suppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Suppa more than expected).
Fields of papers citing papers by Michael Suppa
This network shows the impact of papers produced by Michael Suppa. 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 Michael Suppa. The network helps show where Michael Suppa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Suppa, 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 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2017 | 51 | |
| 6 | 2015 | 33 | |
| 7 | Towards Autonomous MAV Exploration in Cluttered Indoor and Outdoor Environments | 2013 | 6 |
| 8 | 2012 | 12 | |
| 9 | Toward a Fully Autonomous UAV: Research Platform for Indoor and Outdoor Urban Search and Rescuebreakdown → | 2012 | 619 |
| 10 | Control with a Compliant Force-Torque Sensor | 2012 | 2 |
| 11 | 2011 | 37 | |
| 12 | Industrierobotik im Wandel (Industrial Robotics). | 2010 | 1 |
| 13 | 2010 | 2 | |
| 14 | 2009 | 24 | |
| 15 | 2008 | 3 | |
| 16 | 2007 | 1 | |
| 17 | 2007 | 6 | |
| 18 | Multisensorielle Exploration von Roboterarbeitsräumen | 2006 | 1 |
| 19 | 2004 | 27 | |
| 20 | 2002 | 18 |
About Michael Suppa
Michael Suppa is a scholar working on Computer Vision and Pattern Recognition, Geology, Aerospace Engineering, Instrumentation and Industrial and Manufacturing Engineering, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (23 papers), Advanced Vision and Imaging (16 papers), Robot Manipulation and Learning (14 papers), 3D Surveying and Cultural Heritage (12 papers), Modular Robots and Swarm Intelligence (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Flexible and Reconfigurable Manufacturing Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (1.2k citations), Geology (218 citations), Control and Systems Engineering (497 citations) and Instrumentation (42 citations). Michael Suppa has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Darius Burschka, Korbinian Schmid, Elmar Mair, Felix Ruess, Teodor Tomić, Andreas Dömel, Heiko Hirschmüller, Tim Bodenmüller, Iris Grixa and Michael Kaßecker. Their work appears in journals such as Computers in Industry, International Journal of Cardiology, Journal of Intelligent & Robotic Systems, Advanced Robotics and IEEE Access.
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.