Michael Achtelik
- Aerospace Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Jan StumpfDaniel GurdanMarkus AchtelikRoland SiegwartStephan WeißLaurent KneipMargarita ChliSimon Lynen
- Topics
- Robotics and Sensor-Based Localization (7 papers)Adaptive Control of Nonlinear Systems (4 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- The International Journal of Robotics ResearchJournal of Field RoboticsRepository for Publications and Research Data (ETH Zurich)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Michael Achtelik
11 papers receiving 868 citations
Peers
Comparison fields: 5 of 52
- Aerospace Engineering 679
- Computer Vision and Pattern Recognition 520
- Control and Systems Engineering 273
- Electrical and Electronic Engineering 139
- Computer Networks and Communications 96
Countries citing papers authored by Michael Achtelik
This map shows the geographic impact of Michael Achtelik'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 Achtelik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Achtelik more than expected).
Fields of papers citing papers by Michael Achtelik
This network shows the impact of papers produced by Michael Achtelik. 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 Achtelik. The network helps show where Michael Achtelik may publish in the future.
Co-authorship network of co-authors of Michael Achtelik
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Achtelik. A scholar is included among the top collaborators of Michael Achtelik 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 Michael Achtelik. Michael Achtelik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | EuRoC - The Challenge Initiative for European Robotics | 18 |
| 2 | 176 | |
| 3 | 69 | |
| 4 | 219 | |
| 5 | 54 | |
| 6 | 21 | |
| 7 | 57 | |
| 8 | 37 | |
| 9 | 30 | |
| 10 | 35 | |
| 11 | 195 |
About Michael Achtelik
Michael Achtelik is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 11 papers that have together received 911 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Adaptive Control of Nonlinear Systems (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Aerospace Engineering (679 citations), Computer Vision and Pattern Recognition (520 citations) and Control and Systems Engineering (273 citations). Michael Achtelik has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Jan Stumpf, Daniel Gurdan, Markus Achtelik, Roland Siegwart, Stephan Weiß, Laurent Kneip, Margarita Chli, Simon Lynen, Florian Holzapfel and Jian Wang. Their work appears in journals such as The International Journal of Robotics Research, Journal of Field Robotics and Repository for Publications and Research Data (ETH Zurich).
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.