Philipp Schad
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
- Surgery 5
- Knee injuries and reconstruction techniques 5
- Total Knee Arthroplasty Outcomes 3
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- Lower Extremity Biomechanics and Pathologies 4
- Polymer-Based Agricultural Enhancements 1
- Co-authors
- Daniel Truhn (9 shared papers)Christiane Kühl (9 shared papers)Sven Nebelung (8 shared papers)Christoph Haarburger (2 shared papers)Maximilian Schulze‐Hagen (1 shared paper)Johannes Stegmaier (1 shared paper)Jakob Nikolas Kather (1 shared paper)Sandy Engelhardt (1 shared paper)
- Journals
- Biology and Fertility of Soils (2 papers)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Scientific Reports (1 paper)Acta Biomaterialia (1 paper)Journal of the mechanical behavior of biomedical materials (1 paper)
- Partner nations
- GermanySwitzerlandColombia
In The Last Decade
Philipp Schad
11 papers receiving 186 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Health Informatics 24
- Radiology, Nuclear Medicine and Imaging 73
- Computer Vision and Pattern Recognition 48
- Artificial Intelligence 52
- Acoustics and Ultrasonics 1
Countries citing papers authored by Philipp Schad
This map shows the geographic impact of Philipp Schad'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 Philipp Schad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Schad more than expected).
Fields of papers citing papers by Philipp Schad
This network shows the impact of papers produced by Philipp Schad. 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 Philipp Schad. The network helps show where Philipp Schad may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Schad, 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 | Denoising diffusion probabilistic models for 3D medical image generation Hit paper breakdown → | 2023 | 121 |
| 2 | 2024 | 16 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 1 |
About Philipp Schad
Philipp Schad is a scholar working on Surgery, Biomedical Engineering, Rheumatology, Radiology, Nuclear Medicine and Imaging and Soil Science, having authored 11 papers that have together received 189 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Polymer-Based Agricultural Enhancements (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Computer Vision and Pattern Recognition (48 citations), Artificial Intelligence (52 citations) and Acoustics and Ultrasonics (1 citation). Philipp Schad has collaborated with scholars based in Germany, Switzerland and Colombia. Frequent co-authors include Daniel Truhn, Christiane Kühl, Sven Nebelung, Christoph Haarburger, Maximilian Schulze‐Hagen, Johannes Stegmaier, Jakob Nikolas Kather, Sandy Engelhardt, Soroosh Tayebi Arasteh and Tianyu Han. Their work appears in journals such as Biology and Fertility of Soils, Magnetic Resonance Materials in Physics Biology and Medicine, Scientific Reports, Acta Biomaterialia and Journal of the mechanical behavior of biomedical materials.
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.