Frederik Diehl

20 total papers · 511 total citations
4 papers, 116 citations indexed

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 4 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 3 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 (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Video Surveillance and Tracking Methods (1 paper). Frederik Diehl is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Video Surveillance and Tracking Methods (1 paper). Frederik Diehl collaborates with scholars based in Germany. Frederik Diehl's co-authors include Alois Knoll, David Lenz, Thomas Brunner, Chih‐Hong Cheng, Harald Rueß and Markus Rickert and has published in prestigious journals such as mediaTUM (Technical University of Munich) and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

In The Last Decade

Frederik Diehl

4 papers receiving 108 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Frederik Diehl	54	45	45	29	26	4	116
Hugo Grimmett	49 0.9×	67 1.5×	47 1.0×	27 0.9×	7 0.3×	9	125
James Tu	85 1.6×	36 0.8×	55 1.2×	29 1.0×	16 0.6×	7	167
Chejian Xu	88 1.6×	24 0.5×	58 1.3×	39 1.3×	24 0.9×	5	158
Hendrik Königshof	77 1.4×	103 2.3×	15 0.3×	20 0.7×	18 0.7×	8	167
Tambet Matiisen	99 1.8×	78 1.7×	48 1.1×	40 1.4×	6 0.2×	5	192
Shane Barratt	30 0.6×	21 0.5×	54 1.2×	19 0.7×	20 0.8×	8	146
Osama Makansi	73 1.4×	60 1.3×	47 1.0×	15 0.5×	27 1.0×	4	149
Buu Phan	39 0.7×	38 0.8×	23 0.5×	13 0.4×	13 0.5×	4	155
Blake Wulfe	74 1.4×	40 0.9×	38 0.8×	46 1.6×	18 0.7×	6	129
William “Red” Whittaker	55 1.0×	70 1.6×	22 0.5×	34 1.2×	5 0.2×	6	165

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).

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.

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

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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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