Bernhard Jaeger

813 citations
4 papers · 365 · 2 hit papers · h-index 4

Impact in

Papers in

    • Autonomous Vehicle Technology and Safety 2
    • Transportation and Mobility Innovations 1
    • Advanced Neural Network Applications 2
    • Human Pose and Action Recognition 1
    • Video Surveillance and Tracking Methods 1
    • Multimodal Machine Learning Applications 1

Bernhard Jaeger

4 papers receiving 354 citations

Bernhard Jaeger's Hit Papers

End-to-End Autonomous Driving: Challenges and Frontiers 2024 · 143 citations
1430+1+2Years since publication50100150

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
  • Building and Construction 28
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-authors

The 7 scholars most cited alongside Bernhard Jaeger, 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 Bernhard Jaeger Line = papers co-authored together Bernhard Jaeger links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving
Hit paper breakdown →
2022189
2
End-to-End Autonomous Driving: Challenges and Frontiers
Hit paper breakdown →
2024143
3 202330
4 20243

About Bernhard Jaeger

Bernhard Jaeger is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Infectious Diseases, Organic Chemistry and Surgery, 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), Transportation and Mobility Innovations (1 paper), Human Pose and Action Recognition (1 paper), Video Surveillance and Tracking Methods (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Automotive Engineering (179 citations), Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (113 citations), Control and Systems Engineering (51 citations) and Building and Construction (28 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, Penghao Wu, Hongyang Li and Li Chen. 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.

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