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
- Co-authors
- Latha Pemula (1 shared paper)Thomas Brox (1 shared paper)Bernhard Schölkopf (1 shared paper)Peter Gehler (1 shared paper)Joaquin Zepeda (1 shared paper)Björn Ommer (3 shared papers)Biagio Brattoli (2 shared papers)Cindy L. Adams (1 shared paper)
- Journals
- Blood (1 paper)International Journal for Numerical Methods in Biomedical Engineering (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)BioDrugs (1 paper)Pharmacology Research & Perspectives (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Karsten Roth
16 papers receiving 790 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Industrial and Manufacturing Engineering 195
- Artificial Intelligence 531
- Computer Vision and Pattern Recognition 232
- Computer Networks and Communications 134
- Media Technology 41
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 | 622 |
| 2 | 2019 | 45 | |
| 3 | 2016 | 40 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 16 | |
| 7 | 2020 | 15 | |
| 8 | Revisiting Training Strategies and Generalization Performance in Deep Metric Learning | 2020 | 15 |
| 9 | 2024 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 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 | 2024 | 0 |
About Karsten Roth
Karsten Roth is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Clinical Biochemistry and Immunology, having authored 17 papers that have together received 810 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 Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (195 citations), Artificial Intelligence (531 citations), Computer Vision and Pattern Recognition (232 citations), Computer Networks and Communications (134 citations) and Media Technology (41 citations). Karsten Roth has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Latha Pemula, Thomas Brox, Bernhard Schölkopf, Peter Gehler, Joaquin Zepeda, Björn Ommer, Biagio Brattoli, Cindy L. Adams, J. Jansén and Caroline Ritter. Their work appears in journals such as Blood, International Journal for Numerical Methods in Biomedical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, BioDrugs and Pharmacology Research & Perspectives.
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.