Phillip Karle

404 total citations
12 papers, 204 citations indexed

About

Phillip Karle is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Phillip Karle has authored 12 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Phillip Karle's work include Autonomous Vehicle Technology and Safety (9 papers), Vehicle Dynamics and Control Systems (2 papers) and Traffic control and management (2 papers). Phillip Karle is often cited by papers focused on Autonomous Vehicle Technology and Safety (9 papers), Vehicle Dynamics and Control Systems (2 papers) and Traffic control and management (2 papers). Phillip Karle collaborates with scholars based in Germany, United States and Switzerland. Phillip Karle's co-authors include Markus Lienkamp, Johannes Betz, Maximilian Geisslinger, Felix Nobis, Ehsan Shafiei, Leonhard Hermansdorfer, Alexander Heilmeier, Thomas Herrmann, Boris Lohmann and Ferenc Török and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.

In The Last Decade

Phillip Karle

12 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Karle Germany 6 127 76 48 41 39 12 204
Stefan Orf Germany 4 130 1.0× 82 1.1× 46 1.0× 24 0.6× 46 1.2× 13 214
Onay Urfalıoǧlu Germany 6 90 0.7× 128 1.7× 34 0.7× 74 1.8× 31 0.8× 16 248
Carlos Gómez-Huélamo Spain 11 195 1.5× 117 1.5× 92 1.9× 56 1.4× 30 0.8× 18 301
Jinghao Miao United States 8 186 1.5× 122 1.6× 86 1.8× 30 0.7× 23 0.6× 16 270
Christoph Schöller Germany 6 159 1.3× 117 1.5× 26 0.5× 79 1.9× 42 1.1× 6 258
Markus Wulfmeier United Kingdom 5 67 0.5× 79 1.0× 56 1.2× 82 2.0× 27 0.7× 10 232
Yuanfu Luo Singapore 8 162 1.3× 137 1.8× 75 1.6× 79 1.9× 22 0.6× 10 272
Alireza Nakhaei United States 9 147 1.2× 115 1.5× 150 3.1× 74 1.8× 28 0.7× 15 279
Stephen G. McGill United States 9 120 0.9× 80 1.1× 75 1.6× 61 1.5× 13 0.3× 19 250
Srikanth Malla United States 6 148 1.2× 179 2.4× 21 0.4× 68 1.7× 57 1.5× 7 280

Countries citing papers authored by Phillip Karle

Since Specialization
Citations

This map shows the geographic impact of Phillip Karle'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 Phillip Karle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Karle more than expected).

Fields of papers citing papers by Phillip Karle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip Karle. 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 Phillip Karle. The network helps show where Phillip Karle may publish in the future.

Co-authorship network of co-authors of Phillip Karle

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Karle. A scholar is included among the top collaborators of Phillip Karle 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 Phillip Karle. Phillip Karle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Karle, Phillip, et al.. (2024). Self-Evaluation of Trajectory Predictors for Autonomous Driving. Electronics. 13(5). 946–946. 3 indexed citations
2.
Betz, Johannes, Maximilian Geisslinger, Alexander Heilmeier, et al.. (2023). TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. Journal of Field Robotics. 40(4). 783–809. 40 indexed citations
3.
Karle, Phillip, et al.. (2023). An Analysis of Software Latency for a High-Speed Autonomous Race Car—A Case Study in the Indy Autonomous Challenge. mediaTUM (Technical University of Munich). 6(3). 283–296. 12 indexed citations
4.
Karle, Phillip, Ferenc Török, Maximilian Geisslinger, & Markus Lienkamp. (2023). MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing. IEEE Access. 11. 85914–85926. 3 indexed citations
5.
Karle, Phillip, et al.. (2023). An End-to-End Optimization Framework for Autonomous Driving Software. mediaTUM (Technical University of Munich). 137–144. 1 indexed citations
6.
Karle, Phillip, et al.. (2023). Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. IEEE Access. 11. 44034–44050. 4 indexed citations
7.
Karle, Phillip, et al.. (2023). Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing. IEEE Transactions on Intelligent Vehicles. 8(7). 3871–3883. 29 indexed citations
8.
Karle, Phillip, Maximilian Geisslinger, Johannes Betz, & Markus Lienkamp. (2022). Scenario Understanding and Motion Prediction for Autonomous Vehicles—Review and Comparison. IEEE Transactions on Intelligent Transportation Systems. 23(10). 16962–16982. 60 indexed citations
9.
Betz, Johannes, Hongrui Zheng, Alexander Liniger, et al.. (2022). Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. IEEE Open Journal of Intelligent Transportation Systems. 3. 458–488. 1 indexed citations
10.
Geisslinger, Maximilian, Phillip Karle, Johannes Betz, & Markus Lienkamp. (2021). Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 869–875. 17 indexed citations
11.
Nobis, Felix, Ehsan Shafiei, Phillip Karle, Johannes Betz, & Markus Lienkamp. (2021). Radar Voxel Fusion for 3D Object Detection. Applied Sciences. 11(12). 5598–5598. 30 indexed citations
12.
Karle, Phillip, et al.. (2020). Modal Vertical Vehicle Dynamics Control for Semi-Active and Active Suspension Systems. 239. 1–9. 4 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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