Erik Rodner
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- AI in cancer detection
Papers in
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- Machine Learning and Data Classification 15
- Anomaly Detection Techniques and Applications 14
- Domain Adaptation and Few-Shot Learning 14
- Gaussian Processes and Bayesian Inference 9
- Machine Learning and Algorithms 8
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- Advanced Image and Video Retrieval Techniques 18
- Advanced Neural Network Applications 11
- Image Retrieval and Classification Techniques 10
- Co-authors
- Joachim Denzler (57 shared papers)Marcel Simon (8 shared papers)Alexander Freytag (19 shared papers)Kate Saenko (6 shared papers)Judy Hoffman (4 shared papers)Trevor Darrell (8 shared papers)Michael Kemmler (10 shared papers)Jeff Donahue (3 shared papers)
- Journals
- Lecture notes in computer science (21 papers)Head & Neck (2 papers)International Journal of Computer Vision (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)The International Journal of Robotics Research (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Erik Rodner
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.3k
- Health Informatics 32
- Otorhinolaryngology 61
- Media Technology 129
Countries citing papers authored by Erik Rodner
This map shows the geographic impact of Erik Rodner'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 Erik Rodner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Rodner more than expected).
Fields of papers citing papers by Erik Rodner
This network shows the impact of papers produced by Erik Rodner. 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 Erik Rodner. The network helps show where Erik Rodner may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Rodner, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 261 | |
| 2 | 2017 | 249 | |
| 3 | 2014 | 138 | |
| 4 | 2013 | 127 | |
| 5 | 2013 | 119 | |
| 6 | 2013 | 94 | |
| 7 | 2014 | 89 | |
| 8 | 2017 | 81 | |
| 9 | 2013 | 77 | |
| 10 | 2014 | 77 | |
| 11 | 2018 | 73 | |
| 12 | 2021 | 63 | |
| 13 | 2016 | 60 | |
| 14 | Proceedings of 27th British Machine Vision Conference (BMVC 2016) | 2016 | 48 |
| 15 | 2014 | 47 | |
| 16 | 2011 | 41 | |
| 17 | 2018 | 38 | |
| 18 | 2015 | 37 | |
| 19 | 2010 | 36 | |
| 20 | 2015 | 35 |
About Erik Rodner
Erik Rodner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Machine Learning and Data Classification (15 papers), Anomaly Detection Techniques and Applications (14 papers), Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (11 papers), Image Retrieval and Classification Techniques (10 papers), Gaussian Processes and Bayesian Inference (9 papers) and Machine Learning and Algorithms (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.3k citations), Health Informatics (32 citations), Otorhinolaryngology (61 citations) and Media Technology (129 citations). Erik Rodner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Joachim Denzler, Marcel Simon, Alexander Freytag, Kate Saenko, Judy Hoffman, Trevor Darrell, Michael Kemmler, Jeff Donahue, Paul Bodesheim and Christoph Käding. Their work appears in journals such as Lecture notes in computer science, Head & Neck, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence and The International Journal of Robotics Research.
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.