Frederik Diehl

5 papers and 175 indexed citations i.

About

Frederik Diehl is a scholar working on Automotive Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Frederik Diehl has authored 5 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Automotive Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Frederik Diehl’s work include Autonomous Vehicle Technology and Safety (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Traffic Prediction and Management Techniques (2 papers). Frederik Diehl is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Traffic Prediction and Management Techniques (2 papers). Frederik Diehl collaborates with scholars based in Germany. Frederik Diehl's co-authors include Michael Truong Le, Alois Knoll, Thomas Brunner, David Lenz, Harald Rueß, Markus Rickert and Chih-Hong Cheng and has published in prestigious journals such as mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich), 2022 IEEE Intelligent Vehicles Symposium (IV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Frederik Diehl i

Fields of papers citing papers by Frederik Diehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frederik Diehl

Since Specialization
Citations

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

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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2025