Stefan Schulz
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 4
- Surgery 3
- Nerve Injury and Rehabilitation 2
- Co-authors
- Sebastian Foersch (7 shared papers)Ann-Christin Woerl (3 shared papers)Daniel‐Christoph Wagner (4 shared papers)Wilfried Roth (5 shared papers)Christina Glasner (4 shared papers)Aurélie Fernandez (4 shared papers)Markus Eckstein (4 shared papers)Arndt Hartmann (2 shared papers)
- Journals
- Nature Medicine (1 paper)Frontiers in Oncology (1 paper)RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (1 paper)Thyroid (1 paper)Annals of Oncology (1 paper)
- Partner nations
- GermanyBrazilUnited Kingdom
In The Last Decade
Stefan Schulz
13 papers receiving 372 citations
Stefan Schulz's Hit Papers
Peers
Comparison fields: 5 of 57
- Health Informatics 25
- Radiology, Nuclear Medicine and Imaging 127
- Artificial Intelligence 128
- Cancer Research 43
- Oncology 72
Countries citing papers authored by Stefan Schulz
This map shows the geographic impact of Stefan Schulz'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 Stefan Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schulz more than expected).
Fields of papers citing papers by Stefan Schulz
This network shows the impact of papers produced by Stefan Schulz. 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 Stefan Schulz. The network helps show where Stefan Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Schulz, 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 | Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer Hit paper breakdown → | 2023 | 152 |
| 2 | 2021 | 77 | |
| 3 | 2021 | 69 | |
| 4 | 2009 | 25 | |
| 5 | 2009 | 23 | |
| 6 | 2008 | 17 | |
| 7 | Determination of the grip force distribution in functional grasping | 2004 | 4 |
| 8 | 2004 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2006 | 3 | |
| 11 | 2009 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 1 | |
| 14 | Control of OrtoJacket - an intelligent hybrid orthosis for the paralyzed upper extremity | 2011 | 1 |
| 15 | 2024 | 0 | |
| 16 | Restorative justice - The case for a Child Justice Act. | 2009 | 0 |
About Stefan Schulz
Stefan Schulz is a scholar working on Artificial Intelligence, Surgery, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 16 papers that have together received 383 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Muscle activation and electromyography studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Nerve Injury and Rehabilitation (2 papers), Stroke Rehabilitation and Recovery (2 papers), Cancer Genomics and Diagnostics (1 paper) and Criminal Justice and Corrections Analysis (1 paper). The work is most often cited by research in Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Artificial Intelligence (128 citations), Cancer Research (43 citations) and Oncology (72 citations). Stefan Schulz has collaborated with scholars based in Germany, Brazil and United Kingdom. Frequent co-authors include Sebastian Foersch, Ann-Christin Woerl, Daniel‐Christoph Wagner, Wilfried Roth, Christina Glasner, Aurélie Fernandez, Markus Eckstein, Arndt Hartmann, Moritz Jesinghaus and Wilko Weichert. Their work appears in journals such as Nature Medicine, Frontiers in Oncology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Thyroid and Annals of Oncology.
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.