Tassilo Wald
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Lung Cancer Diagnosis and Treatment 3
- Chronic Obstructive Pulmonary Disease (COPD) Research 3
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
- Phonocardiography and Auscultation Techniques 1
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- Medical Imaging Techniques and Applications 1
- Radiomics and Machine Learning in Medical Imaging 1
- Advanced MRI Techniques and Applications 1
- Co-authors
- Vivienn Weru (3 shared papers)Oyunbileg von Stackelberg (3 shared papers)Jürgen Biederer (3 shared papers)Marco Nolden (3 shared papers)Paul F. Jäger (3 shared papers)Claus Peter Heußel (3 shared papers)Oliver Weinheimer (3 shared papers)Hans‐Ulrich Kauczor (3 shared papers)
- Journals
- Insights into Imaging (1 paper)European Radiology Experimental (1 paper)European Radiology (1 paper)Frontiers in Medicine (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (1 paper)
- Partner nations
- GermanyUnited StatesLatvia
In The Last Decade
Tassilo Wald
4 papers receiving 23 citations
Peers
Comparison fields: 5 of 16
- Health Information Management 6
- Health Informatics 1
- Pulmonary and Respiratory Medicine 17
- Radiology, Nuclear Medicine and Imaging 10
- Complementary and alternative medicine 2
Countries citing papers authored by Tassilo Wald
This map shows the geographic impact of Tassilo Wald'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 Tassilo Wald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tassilo Wald more than expected).
Fields of papers citing papers by Tassilo Wald
This network shows the impact of papers produced by Tassilo Wald. 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 Tassilo Wald. The network helps show where Tassilo Wald may publish in the future.
Co-authors
The 25 scholars most cited alongside Tassilo Wald, 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 | 14 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About Tassilo Wald
Tassilo Wald is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Global and Planetary Change and Infectious Diseases, having authored 6 papers that have together received 23 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Medical Imaging Techniques and Applications (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced MRI Techniques and Applications (1 paper), Phonocardiography and Auscultation Techniques (1 paper) and Climate variability and models (1 paper). The work is most often cited by research in Health Information Management (6 citations), Health Informatics (1 citation), Pulmonary and Respiratory Medicine (17 citations), Radiology, Nuclear Medicine and Imaging (10 citations) and Complementary and alternative medicine (2 citations). Tassilo Wald has collaborated with scholars based in Germany, United States and Latvia. Frequent co-authors include Vivienn Weru, Oyunbileg von Stackelberg, Jürgen Biederer, Marco Nolden, Paul F. Jäger, Claus Peter Heußel, Oliver Weinheimer, Hans‐Ulrich Kauczor, Klaus Maier‐Hein and Tobias Norajitra. Their work appears in journals such as Insights into Imaging, European Radiology Experimental, European Radiology, Frontiers in Medicine and FreiDok plus (Universitätsbibliothek Freiburg).
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.