Frederik Diehl
- Automotive Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality top 10%
- Topics
- Autonomous Vehicle Technology and Safety (3 papers)Adversarial Robustness in Machine Learning (3 papers)Traffic Prediction and Management Techniques (1 paper)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Journals
- mediaTUM (Technical University of Munich)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)
- Partner nations
- Germany
In The Last Decade
Frederik Diehl
4 papers receiving 108 citations
Peers
Comparison fields: 5 of 33
- Automotive Engineering 54
- Computer Vision and Pattern Recognition 45
- Artificial Intelligence 45
- Control and Systems Engineering 29
- Safety, Risk, Reliability and Quality 26
Countries citing papers authored by Frederik Diehl
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).
Fields of papers citing papers by Frederik Diehl
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.
Co-authorship network of co-authors of Frederik Diehl
This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Diehl. A scholar is included among the top collaborators of Frederik Diehl 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 Frederik Diehl. Frederik Diehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 44 | |
| 3 | 17 | |
| 4 | 52 |
About Frederik Diehl
Frederik Diehl is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 4 papers that have together received 116 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Automotive Engineering (54 citations), Safety, Risk, Reliability and Quality (26 citations) and Computer Vision and Pattern Recognition (45 citations). Frederik Diehl has collaborated with scholars based in Germany. Frequent co-authors include Alois Knoll, David Lenz, Thomas Brunner, Harald Rueß, Markus Rickert and Chih‐Hong Cheng. Their work appears in journals such as mediaTUM (Technical University of Munich) and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).
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.