Fabian B. Flohr

1.3k citations
29 papers · 704 indexed · h-index 12

Fabian B. Flohr

27 papers receiving 676 citations

Peers

Fabian B. Flohr
Comparison fields: 5 of 58
  • Automotive Engineering 328
  • Computer Vision and Pattern Recognition 514
  • Safety, Risk, Reliability and Quality 117
  • Human-Computer Interaction 26
  • Artificial Intelligence 128
Replace Stefan Atev with:
Stefan Atev United States
Christoph G. Keller Germany
Tarak Gandhi United States
Stefan Munder Germany
Thomas Schamm Germany
Linhai Xu China
Liangji Fang China
Shijie Sun China
Hang Zhao China
Fabian B. Flohr relative to Stefan Atev United States Stefan Atev's profile →
Citations per field
00.5×
Stefan Atev · 1×
Citations per year

Countries citing papers authored by Fabian B. Flohr

Since Specialization
Citations

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

Fields of papers citing papers by Fabian B. Flohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabian B. Flohr. 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 Fabian B. Flohr. The network helps show where Fabian B. Flohr may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Fabian B. Flohr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabian B. Flohr Line = papers co-authored together Fabian B. Flohr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20243
5 20233
6 20235
7 20214
8 202111
9
Traffic Police Gesture Recognition by Pose Graph Convolutional Networks.
20203
10 202014
11
Generative Model based Data Augmentation for Special Person Classification.
20201
12 20202
13 2019198
14 20192
15 201640
16 201661
17 201627
18 201550
19 201424
20 20121

About Fabian B. Flohr

Fabian B. Flohr is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 29 papers that have together received 704 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (19 papers), Autonomous Vehicle Technology and Safety (16 papers), Human Pose and Action Recognition (9 papers), Advanced Neural Network Applications (9 papers), Gait Recognition and Analysis (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Vision and Imaging (2 papers) and Traffic and Road Safety (2 papers). The work is most often cited by research in Automotive Engineering (328 citations), Computer Vision and Pattern Recognition (514 citations), Safety, Risk, Reliability and Quality (117 citations), Human-Computer Interaction (26 citations) and Artificial Intelligence (128 citations). Fabian B. Flohr has collaborated with scholars based in Germany, Netherlands and China. Frequent co-authors include Dariu M. Gavrila, Markus Braun, Sebastian Krebs, Julian F. P. Kooij, Ewoud A. I. Pool, Hui Xiong, Keqiang Li, Yikang Wang, Qing Rao and Jianqiang Wang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Robotics, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence and UvA-DARE (University of Amsterdam).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026