Bernhard Jaeger

813 citations
4 papers · 365 indexed · 2 hit papers · h-index 4
Topics
Advanced Neural Network Applications (2 papers)Autonomous Vehicle Technology and Safety (2 papers)Transportation and Mobility Innovations (1 paper)
Partner nations
GermanyHong KongChina

In The Last Decade

Bernhard Jaeger

4 papers receiving 354 citations

Hit Papers

TransFuser: Imitation With Transformer-Based Sensor Fusio...20222026202320242022202450100150

Peers

Bernhard Jaeger
Comparison fields: 5 of 56
  • Automotive Engineering 179
  • Computer Vision and Pattern Recognition 165
  • Artificial Intelligence 113
  • Control and Systems Engineering 51
  • Aerospace Engineering 44
Replace Chonghao Sima with:
Chonghao Sima China
Yihan Hu China
Benjamin Caine Germany
Peide Cai Hong Kong
Onay Urfalıoǧlu Germany
Kashyap Chitta Germany
Antonio Prioletti Italy
Zoey Yang Germany
Zhixiong Nan China
Huilin Yin China
Bernhard Jaeger relative to Chonghao Sima China Chonghao Sima's profile →
Citations per field
00.5×1.5×
Chonghao Sima · 1×
Citations per year

Countries citing papers authored by Bernhard Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Jaeger

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 3
2
End-to-End Autonomous Driving: Challenges and Frontiersbreakdown →
143
3 30
4
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Drivingbreakdown →
189

About Bernhard Jaeger

Bernhard Jaeger is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 4 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Automotive Engineering (179 citations), Computer Vision and Pattern Recognition (165 citations) and Artificial Intelligence (113 citations). Bernhard Jaeger has collaborated with scholars based in Germany, Hong Kong and China. Frequent co-authors include Andreas Geiger, Kashyap Chitta, Zehao Yu, Aditya Prakash, Hongyang Li, Li Chen and Penghao Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

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