Markus Nagel
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Topic Modeling
Papers in
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- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 3
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- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 2
- Co-authors
- Tijmen Blankevoort (6 shared papers)Jinwon Lee (1 shared paper)Yash Bhalgat (1 shared paper)Nojun Kwak (1 shared paper)Ralf Petzold (4 shared papers)Willi A. Kalender (4 shared papers)M. Hoheisel (4 shared papers)Cees G. M. Snoek (1 shared paper)
- Journals
- European Radiology (2 papers)Crystal Growth & Design (1 paper)Lecture notes in computer science (2 papers)Medical Engineering & Physics (1 paper)Seoul National University Open Repository (Seoul National University) (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Markus Nagel
22 papers receiving 398 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 158
- Artificial Intelligence 115
- Ceramics and Composites 17
- Radiation 24
- Computational Mathematics 1
Countries citing papers authored by Markus Nagel
This map shows the geographic impact of Markus Nagel'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 Markus Nagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Nagel more than expected).
Fields of papers citing papers by Markus Nagel
This network shows the impact of papers produced by Markus Nagel. 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 Markus Nagel. The network helps show where Markus Nagel may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Nagel, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2021 | 42 | |
| 3 | 2008 | 38 | |
| 4 | 2008 | 38 | |
| 5 | 2007 | 24 | |
| 6 | 2013 | 23 | |
| 7 | 2005 | 23 | |
| 8 | 2015 | 19 | |
| 9 | 2012 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2008 | 9 | |
| 13 | 2006 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2009 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2006 | 2 |
About Markus Nagel
Markus Nagel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 27 papers that have together received 409 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Soft Robotics and Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (158 citations), Artificial Intelligence (115 citations), Ceramics and Composites (17 citations), Radiation (24 citations) and Computational Mathematics (1 citation). Markus Nagel has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Tijmen Blankevoort, Jinwon Lee, Yash Bhalgat, Nojun Kwak, Ralf Petzold, Willi A. Kalender, M. Hoheisel, Cees G. M. Snoek, Thomas Mensink and Gerd Schmidt. Their work appears in journals such as European Radiology, Crystal Growth & Design, Lecture notes in computer science, Medical Engineering & Physics and Seoul National University Open Repository (Seoul National University).
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.