Peter Pinggera
Impact in
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Vision and Imaging 7
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Image Enhancement Techniques 2
- Optical measurement and interference techniques 1
- Advanced Image and Video Retrieval Techniques 1
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Uwe Franke (5 shared papers)Sebastian Ramos (1 shared paper)Carsten Rother (1 shared paper)Stefan Gehrig (1 shared paper)Rudolf Mester (3 shared papers)Horst Bischof (1 shared paper)Toby P. Breckon (1 shared paper)Björn Ommer (2 shared papers)
- Journals
- Lecture notes in computer science (4 papers)Durham Research Online (Durham University) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- GermanySwedenUnited Kingdom
In The Last Decade
Peter Pinggera
9 papers receiving 337 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 266
- Automotive Engineering 74
- Media Technology 53
- Instrumentation 15
- Aerospace Engineering 94
Countries citing papers authored by Peter Pinggera
This map shows the geographic impact of Peter Pinggera'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 Peter Pinggera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pinggera more than expected).
Fields of papers citing papers by Peter Pinggera
This network shows the impact of papers produced by Peter Pinggera. 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 Peter Pinggera. The network helps show where Peter Pinggera may publish in the future.
Co-authors
The 16 scholars most cited alongside Peter Pinggera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 125 | |
| 2 | 2016 | 55 | |
| 3 | 2021 | 55 | |
| 4 | 2012 | 47 | |
| 5 | 2014 | 35 | |
| 6 | 2015 | 21 | |
| 7 | 2021 | 3 | |
| 8 | 2013 | 3 | |
| 9 | 2019 | 3 |
About Peter Pinggera
Peter Pinggera is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Media Technology and Infectious Diseases, having authored 9 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Image Enhancement Techniques (2 papers), Optical measurement and interference techniques (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Automotive Engineering (74 citations), Media Technology (53 citations), Instrumentation (15 citations) and Aerospace Engineering (94 citations). Peter Pinggera has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Uwe Franke, Sebastian Ramos, Carsten Rother, Stefan Gehrig, Rudolf Mester, Horst Bischof, Toby P. Breckon, Björn Ommer, David Pfeiffer and Christoph Stiller. Their work appears in journals such as Lecture notes in computer science, Durham Research Online (Durham University) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.