Philipp Schad
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Lower Extremity Biomechanics and Pathologies 4
- Surgery 4
- Knee injuries and reconstruction techniques 4
- Total Knee Arthroplasty Outcomes 2
- Co-authors
- Daniel Truhn (9 shared papers)Christiane Kühl (9 shared papers)Sven Nebelung (8 shared papers)Christoph Haarburger (2 shared papers)Firas Khader (1 shared paper)Sandy Engelhardt (1 shared paper)Maximilian Schulze‐Hagen (1 shared paper)Tianyu Han (1 shared paper)
- Journals
- Biology and Fertility of Soils (2 papers)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Acta Biomaterialia (1 paper)Scientific Reports (1 paper)Ground Water (1 paper)
- Partner nations
- GermanySwitzerlandColombia
In The Last Decade
Philipp Schad
12 papers receiving 240 citations
Philipp Schad's Hit Papers
Peers
Comparison fields: 5 of 62
- Health Informatics 21
- Radiology, Nuclear Medicine and Imaging 69
- Computer Vision and Pattern Recognition 68
- Computer Graphics and Computer-Aided Design 9
- Artificial Intelligence 62
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 | 167 |
| 2 | 2024 | 20 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2021 | 1 |
About Philipp Schad
Philipp Schad is a scholar working on Biomedical Engineering, Surgery, Rheumatology, Artificial Intelligence and Soil Science, having authored 12 papers that have together received 243 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (4 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Soil and Water Nutrient Dynamics (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Computer Vision and Pattern Recognition (68 citations), Computer Graphics and Computer-Aided Design (9 citations) and Artificial Intelligence (62 citations). Philipp Schad has collaborated with scholars based in Germany, Switzerland and Colombia. Frequent co-authors include Daniel Truhn, Christiane Kühl, Sven Nebelung, Christoph Haarburger, Firas Khader, Sandy Engelhardt, Maximilian Schulze‐Hagen, Tianyu Han, Jakob Nikolas Kather and Soroosh Tayebi Arasteh. Their work appears in journals such as Biology and Fertility of Soils, Magnetic Resonance Materials in Physics Biology and Medicine, Acta Biomaterialia, Scientific Reports and Ground Water.
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.