Florian Kuhnt

784 total citations
17 papers, 519 citations indexed

About

Florian Kuhnt is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Florian Kuhnt has authored 17 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Florian Kuhnt's work include Autonomous Vehicle Technology and Safety (12 papers), Traffic control and management (4 papers) and Traffic Prediction and Management Techniques (3 papers). Florian Kuhnt is often cited by papers focused on Autonomous Vehicle Technology and Safety (12 papers), Traffic control and management (4 papers) and Traffic Prediction and Management Techniques (3 papers). Florian Kuhnt collaborates with scholars based in Germany and United States. Florian Kuhnt's 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 and has published in prestigious journals such as arXiv (Cornell University) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Florian Kuhnt

17 papers receiving 498 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Kuhnt Germany 11 373 171 161 79 78 17 519
Linhai Xu China 11 292 0.8× 216 1.3× 144 0.9× 81 1.0× 102 1.3× 25 607
Marc Revilloud France 5 386 1.0× 298 1.7× 191 1.2× 55 0.7× 70 0.9× 11 558
Matthias Schreier Germany 10 367 1.0× 132 0.8× 168 1.0× 59 0.7× 88 1.1× 19 523
Laurène Claussmann France 5 401 1.1× 279 1.6× 219 1.4× 48 0.6× 78 1.0× 6 580
Georg Tanzmeister Germany 11 369 1.0× 230 1.3× 124 0.8× 57 0.7× 161 2.1× 18 595
Markus Koschi Germany 9 480 1.3× 206 1.2× 218 1.4× 55 0.7× 110 1.4× 10 642
Thomas Schamm Germany 14 323 0.9× 339 2.0× 218 1.4× 59 0.7× 67 0.9× 33 600
Felix Klanner Germany 11 312 0.8× 128 0.7× 151 0.9× 149 1.9× 113 1.4× 20 610
Sajjad Mozaffari United Kingdom 7 375 1.0× 164 1.0× 127 0.8× 65 0.8× 121 1.6× 15 607
Véronique Cherfaoui France 9 303 0.8× 151 0.9× 104 0.6× 60 0.8× 105 1.3× 19 472

Countries citing papers authored by Florian Kuhnt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
2.
Poggenhans, Fabian, et al.. (2018). Lanelet2: A high-definition map framework for the future of automated driving. 1672–1679. 191 indexed citations
3.
Wolf, Peter, et al.. (2018). Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States. arXiv (Cornell University). 993–1000. 47 indexed citations
4.
Taş, Ömer Şahin, et al.. (2017). Automated vehicle system architecture with performance assessment. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 16 indexed citations
5.
Weber, Michael, et al.. (2017). Integrating end-to-end learned steering into probabilistic autonomous driving. 1–7. 21 indexed citations
6.
Zofka, Marc René, Florian Kuhnt, Ralf Kohlhaas, & J. Marius Zöllner. (2016). Simulation framework for the development of autonomous small scale vehicles. 318–324. 6 indexed citations
7.
Taş, Ömer Şahin, Florian Kuhnt, J. Marius Zöllner, & Christoph Stiller. (2016). Functional system architectures towards fully automated driving. 304–309. 76 indexed citations
8.
Kuhnt, Florian, Stefan Orf, Sebastian Klemm, & J. Marius Zöllner. (2016). Lane-precise localization of intelligent vehicles using the surrounding object constellation. 526–533. 6 indexed citations
9.
Klemm, Sebastian, Thomas Schamm, J. Marius Zöllner, et al.. (2016). Autonomous multi-story navigation for valet parking. 1126–1133. 23 indexed citations
10.
Kuhnt, Florian, et al.. (2016). Robust environment perception for the Audi Autonomous Driving Cup. 1424–1431. 6 indexed citations
11.
Zofka, Marc René, Sebastian Klemm, Florian Kuhnt, Thomas Schamm, & J. Marius Zöllner. (2016). Testing and validating high level components for automated driving: simulation framework for traffic scenarios. 144–150. 43 indexed citations
12.
Kuhnt, Florian, Jens Schulz, Thomas Schamm, & J. Marius Zöllner. (2016). Understanding interactions between traffic participants based on learned behaviors. 1271–1278. 17 indexed citations
13.
Kuhnt, Florian, Ralf Kohlhaas, Thomas Schamm, & J. Marius Zöllner. (2015). Towards a Unified Traffic Situation Estimation Model – Street-dependent Behaviour and Motion Models –. 1223–1229. 4 indexed citations
14.
Yuan, Ting, et al.. (2015). DSRC and radar object matching for cooperative driver assistance systems. 1348–1354. 18 indexed citations
15.
Zofka, Marc René, et al.. (2015). Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems. 1422–1428. 26 indexed citations
16.
Kuhnt, Florian, et al.. (2014). Performance evaluation and statistical analysis of algorithms for ego-motion estimation. 2125–2131. 2 indexed citations
17.
Kuhnt, Florian, et al.. (2014). Particle filter map matching and trajectory prediction using a spline based intersection model. 1892–1893. 11 indexed citations

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.

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