Leonard Bauersfeld
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Co-authors
- Davide ScaramuzzaElia KaufmannAntonio LoquercioMatthias MüllerVladlen KoltunGuillaume DucardChristopher H. OnderÁngel Romero
- Topics
- Robotics and Sensor-Based Localization (8 papers)Robotic Path Planning Algorithms (8 papers)Advanced Vision and Imaging (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Leonard Bauersfeld
18 papers receiving 627 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Aerospace Engineering 259
- Computer Vision and Pattern Recognition 233
- Control and Systems Engineering 208
- Artificial Intelligence 135
- Automotive Engineering 76
Countries citing papers authored by Leonard Bauersfeld
This map shows the geographic impact of Leonard Bauersfeld'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 Leonard Bauersfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Bauersfeld more than expected).
Fields of papers citing papers by Leonard Bauersfeld
This network shows the impact of papers produced by Leonard Bauersfeld. 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 Leonard Bauersfeld. The network helps show where Leonard Bauersfeld may publish in the future.
Co-authorship network of co-authors of Leonard Bauersfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Bauersfeld. A scholar is included among the top collaborators of Leonard Bauersfeld 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 Leonard Bauersfeld. Leonard Bauersfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 37 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | Champion-level drone racing using deep reinforcement learningbreakdown → | 286 |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 48 | |
| 14 | 71 | |
| 15 | 39 | |
| 16 | 86 | |
| 17 | 1 | |
| 18 | 4 |
About Leonard Bauersfeld
Leonard Bauersfeld is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 18 papers that have together received 648 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (8 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Aerospace Engineering (259 citations) and Control and Systems Engineering (208 citations). Leonard Bauersfeld has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Davide Scaramuzza, Elia Kaufmann, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Guillaume Ducard, Christopher H. Onder, Ángel Romero, Giovanni Cioffi and Yunlong Song. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.
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.