Adrian Krenzer
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Colorectal Cancer Screening and Detection
Papers in
- Oncology 9
- Colorectal Cancer Screening and Detection 9
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- Image Retrieval and Classification Techniques 1
- Co-authors
- Alexander Hann (9 shared papers)Frank Puppe (11 shared papers)Joel Troya (8 shared papers)Wolfram G. Zoller (6 shared papers)Daniel Fitting (5 shared papers)Alexander Meining (6 shared papers)Markus Brand (4 shared papers)Benjamin Walter (2 shared papers)
- Journals
- Scandinavian Journal of Gastroenterology (1 paper)Endoscopy (1 paper)Frontiers in Oncology (1 paper)International Journal of Colorectal Disease (1 paper)Digestion (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Adrian Krenzer
13 papers receiving 206 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 10
- Oncology 164
- Radiology, Nuclear Medicine and Imaging 81
- Gastroenterology 9
- Pulmonary and Respiratory Medicine 48
Countries citing papers authored by Adrian Krenzer
This map shows the geographic impact of Adrian Krenzer'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 Adrian Krenzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Krenzer more than expected).
Fields of papers citing papers by Adrian Krenzer
This network shows the impact of papers produced by Adrian Krenzer. 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 Adrian Krenzer. The network helps show where Adrian Krenzer may publish in the future.
Co-authors
The 20 scholars most cited alongside Adrian Krenzer, 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 | 2023 | 39 | |
| 2 | 2023 | 32 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 21 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 5 | |
| 11 | Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems | 2019 | 4 |
| 12 | 2024 | 2 | |
| 13 | Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks. | 2020 | 2 |
| 14 | Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. | 2020 | 0 |
About Adrian Krenzer
Adrian Krenzer is a scholar working on Oncology, Computer Vision and Pattern Recognition, Artificial Intelligence, Safety Research and Media Technology, having authored 14 papers that have together received 212 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (9 papers), AI in Service Interactions (1 paper), Manufacturing Process and Optimization (1 paper), Image Retrieval and Classification Techniques (1 paper), Vehicle License Plate Recognition (1 paper), Reinforcement Learning in Robotics (1 paper), Digital Transformation in Industry (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (10 citations), Oncology (164 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Gastroenterology (9 citations) and Pulmonary and Respiratory Medicine (48 citations). Adrian Krenzer has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Alexander Hann, Frank Puppe, Joel Troya, Wolfram G. Zoller, Daniel Fitting, Alexander Meining, Markus Brand, Benjamin Walter, Costanza De Maria and Thomas Rösch. Their work appears in journals such as Scandinavian Journal of Gastroenterology, Endoscopy, Frontiers in Oncology, International Journal of Colorectal Disease and Digestion.
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.