Karsten Roth
Impact in
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- Industrial Vision Systems and Defect Detection
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 3
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Thomas Brox (1 shared paper)Joaquin Zepeda (1 shared paper)Peter Gehler (1 shared paper)Latha Pemula (1 shared paper)Bernhard Schölkopf (1 shared paper)Björn Ommer (3 shared papers)Biagio Brattoli (2 shared papers)John P. Kastelic (1 shared paper)
- Journals
- BioDrugs (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Diabetes (1 paper)Journal of Dairy Science (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Karsten Roth
16 papers receiving 870 citations
Karsten Roth's Hit Papers
Peers
Comparison fields: 5 of 99
- Industrial and Manufacturing Engineering 203
- Artificial Intelligence 574
- Computer Vision and Pattern Recognition 246
- Computer Networks and Communications 140
- Signal Processing 52
Countries citing papers authored by Karsten Roth
This map shows the geographic impact of Karsten Roth'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 Karsten Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Roth more than expected).
Fields of papers citing papers by Karsten Roth
This network shows the impact of papers produced by Karsten Roth. 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 Karsten Roth. The network helps show where Karsten Roth may publish in the future.
Co-authors
The 25 scholars most cited alongside Karsten Roth, 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 | Towards Total Recall in Industrial Anomaly Detection Hit paper breakdown → | 2022 | 688 |
| 2 | 2019 | 45 | |
| 3 | 2016 | 40 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 15 | |
| 8 | Revisiting Training Strategies and Generalization Performance in Deep Metric Learning | 2020 | 15 |
| 9 | 2024 | 7 | |
| 10 | 2016 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2020 | 3 | |
| 13 | Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining. | 2019 | 1 |
| 14 | 2019 | 1 | |
| 15 | [131-I-transferrin in low-protein fed patients with advanced, chronic kidney failure]. | 1973 | 1 |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Karsten Roth
Karsten Roth is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Immunology and Pharmacology, having authored 19 papers that have together received 888 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Neutropenia and Cancer Infections (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Blood disorders and treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (203 citations), Artificial Intelligence (574 citations), Computer Vision and Pattern Recognition (246 citations), Computer Networks and Communications (140 citations) and Signal Processing (52 citations). Karsten Roth has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Thomas Brox, Joaquin Zepeda, Peter Gehler, Latha Pemula, Bernhard Schölkopf, Björn Ommer, Biagio Brattoli, John P. Kastelic, Caroline Ritter and J. Jansén. Their work appears in journals such as BioDrugs, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Diabetes, Journal of Dairy Science and Blood.
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.