Andreas Bär
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
-
- Advanced Neural Network Applications
- Advanced Data Compression Techniques
Papers in
-
- Advanced Neural Network Applications 7
- Advanced Data Compression Techniques 4
-
- Adversarial Robustness in Machine Learning 8
- Domain Adaptation and Few-Shot Learning 2
- Anomaly Detection Techniques and Applications 2
- Explainable Artificial Intelligence (XAI) 1
- Machine Learning and Data Classification 1
- Co-authors
- Tim Fingscheidt (21 shared papers)Marvin Klingner (7 shared papers)Fabian Hüger (11 shared papers)Peter Schlicht (10 shared papers)Nico M. Schmidt (4 shared papers)Mostafa Dehghani (1 shared paper)Neil Houlsby (1 shared paper)Senthil Kumar Yogamani (1 shared paper)
- Journals
- Annals of Physical and Rehabilitation Medicine (1 paper)IEEE Signal Processing Magazine (1 paper)IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (10 papers)IEEE International Conference on Intelligent Transportation Systems (ITSC) (1 paper)Springer eBooks (3 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Andreas Bär
23 papers receiving 417 citations
Peers
Comparison fields: 5 of 37
- Automotive Engineering 87
- Computer Vision and Pattern Recognition 145
- Artificial Intelligence 193
- Safety, Risk, Reliability and Quality 50
- Software 7
Countries citing papers authored by Andreas Bär
This map shows the geographic impact of Andreas Bär'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 Andreas Bär with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Bär more than expected).
Fields of papers citing papers by Andreas Bär
This network shows the impact of papers produced by Andreas Bär. 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 Andreas Bär. The network helps show where Andreas Bär may publish in the future.
Co-authors
The 14 scholars most cited alongside Andreas Bär, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2020 | 41 | |
| 3 | 2022 | 37 | |
| 4 | 2020 | 36 | |
| 5 | 2020 | 34 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2013 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Andreas Bär
Andreas Bär is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Rehabilitation, Occupational Therapy and Automotive Engineering, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (7 papers), Advanced Data Compression Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), Machine Learning and Data Classification (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Automotive Engineering (87 citations), Computer Vision and Pattern Recognition (145 citations), Artificial Intelligence (193 citations), Safety, Risk, Reliability and Quality (50 citations) and Software (7 citations). Andreas Bär has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Tim Fingscheidt, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Mostafa Dehghani, Neil Houlsby, Senthil Kumar Yogamani, Varun Ravi Kumar and Saeed Mozaffari. Their work appears in journals such as Annals of Physical and Rehabilitation Medicine, IEEE Signal Processing Magazine, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE International Conference on Intelligent Transportation Systems (ITSC) and Springer eBooks.
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.