Florian Kuhnt
- Automotive Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- J. Marius ZöllnerStefan OrfMatthias MayrFabian PoggenhansMaximilian NaumannÖmer Şahin TaşThomas SchammChristoph Stiller
- Topics
- Autonomous Vehicle Technology and Safety (12 papers)Traffic control and management (4 papers)Traffic Prediction and Management Techniques (3 papers)
- Journals
- arXiv (Cornell University)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
- Partner nations
- GermanyUnited States
In The Last Decade
Florian Kuhnt
17 papers receiving 498 citations
Peers
Comparison fields: 5 of 50
- Automotive Engineering 373
- Computer Vision and Pattern Recognition 171
- Control and Systems Engineering 161
- Electrical and Electronic Engineering 79
- Artificial Intelligence 78
Countries citing papers authored by Florian Kuhnt
This map shows the geographic impact of Florian Kuhnt'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 Florian Kuhnt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Kuhnt more than expected).
Fields of papers citing papers by Florian Kuhnt
This network shows the impact of papers produced by Florian Kuhnt. 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 Florian Kuhnt. The network helps show where Florian Kuhnt may publish in the future.
Co-authorship network of co-authors of Florian Kuhnt
This figure shows the co-authorship network connecting the top 25 collaborators of Florian Kuhnt. A scholar is included among the top collaborators of Florian Kuhnt 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 Florian Kuhnt. Florian Kuhnt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 191 | |
| 3 | 47 | |
| 4 | 16 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 76 | |
| 8 | 6 | |
| 9 | 23 | |
| 10 | 6 | |
| 11 | 43 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems | 26 |
| 16 | 2 | |
| 17 | 11 |
About Florian Kuhnt
Florian Kuhnt is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 17 papers that have together received 519 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (12 papers), Traffic control and management (4 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Automotive Engineering (373 citations), Computer Vision and Pattern Recognition (171 citations) and Software (29 citations). Florian Kuhnt has collaborated with scholars based in Germany and United States. Frequent co-authors include J. Marius Zöllner, Stefan Orf, Matthias Mayr, Fabian Poggenhans, Maximilian Naumann, Ömer Şahin Taş, Thomas Schamm, Christoph Stiller, Marc René Zofka and Sebastian Klemm. Their work appears in journals such as arXiv (Cornell University) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.