David Bernecker
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
Papers in
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- Handwritten Text Recognition Techniques 4
- Video Analysis and Summarization 1
- Advanced Image and Video Retrieval Techniques 1
- Digital Media Forensic Detection 1
- Image Retrieval and Classification Techniques 1
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- Natural Language Processing Techniques 2
- Solar Radiation and Photovoltaics 1
- Co-authors
- Harvey B. Meyer (1 shared paper)Elli Angelopoulou (4 shared papers)Vincent Christlein (4 shared papers)Florian Hönig (2 shared papers)Joachim Hornegger (1 shared paper)Christian Rieß (1 shared paper)S. Hofmann (1 shared paper)Andreas Maier (1 shared paper)
In The Last Decade
David Bernecker
6 papers receiving 312 citations
Peers
Comparison fields: 5 of 39
- Nuclear and High Energy Physics 133
- Computer Vision and Pattern Recognition 124
- Media Technology 35
- Artificial Intelligence 114
- Renewable Energy, Sustainability and the Environment 47
Countries citing papers authored by David Bernecker
This map shows the geographic impact of David Bernecker'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 David Bernecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bernecker more than expected).
Fields of papers citing papers by David Bernecker
This network shows the impact of papers produced by David Bernecker. 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 David Bernecker. The network helps show where David Bernecker may publish in the future.
Co-authors
The 8 scholars most cited alongside David Bernecker, 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 | 2011 | 135 | |
| 2 | 2016 | 73 | |
| 3 | 2014 | 60 | |
| 4 | 2014 | 27 | |
| 5 | 2015 | 25 | |
| 6 | 2016 | 2 |
About David Bernecker
David Bernecker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Nuclear and High Energy Physics and Infectious Diseases, having authored 6 papers that have together received 322 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Natural Language Processing Techniques (2 papers), Video Analysis and Summarization (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Digital Media Forensic Detection (1 paper), Particle physics theoretical and experimental studies (1 paper), Image Retrieval and Classification Techniques (1 paper) and Solar Radiation and Photovoltaics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (133 citations), Computer Vision and Pattern Recognition (124 citations), Media Technology (35 citations), Artificial Intelligence (114 citations) and Renewable Energy, Sustainability and the Environment (47 citations). David Bernecker has collaborated with scholars based in Germany and Austria. Frequent co-authors include Harvey B. Meyer, Elli Angelopoulou, Vincent Christlein, Florian Hönig, Joachim Hornegger, Christian Rieß, S. Hofmann and Andreas Maier. Their work appears in journals such as The European Physical Journal A, Solar Energy and Pattern Recognition.
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.