Diana Wald
Impact in
-
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
-
- Cardiovascular Disease and Adiposity 4
- Cardiac Valve Diseases and Treatments 2
-
- Body Composition Measurement Techniques 4
- Adipose Tissue and Metabolism 2
- Co-authors
- Alexander Seitel (2 shared papers)Ivo Wolf (3 shared papers)Alfred M. Franz (1 shared paper)Marco Nolden (1 shared paper)Daniel Maleike (1 shared paper)Klaus Maier‐Hein (1 shared paper)Hans Peter Meinzer (1 shared paper)Matthias Baumhauer (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (2 papers)Cell Cycle (1 paper)Journal of Magnetic Resonance Imaging (1 paper)PLoS ONE (1 paper)BMC Medical Education (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Diana Wald
9 papers receiving 521 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 200
- Radiation 30
- Cardiology and Cardiovascular Medicine 78
- Physiology 87
- General Dentistry 6
Countries citing papers authored by Diana Wald
This map shows the geographic impact of Diana 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 Diana Wald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Wald more than expected).
Fields of papers citing papers by Diana Wald
This network shows the impact of papers produced by Diana 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 Diana Wald. The network helps show where Diana Wald may publish in the future.
Co-authors
The 25 scholars most cited alongside Diana 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 | 2013 | 310 | |
| 2 | 2014 | 65 | |
| 3 | 2012 | 65 | |
| 4 | 2013 | 39 | |
| 5 | 2014 | 31 | |
| 6 | 2013 | 7 | |
| 7 | 2012 | 4 | |
| 8 | 2014 | 2 | |
| 9 | 2011 | 2 |
About Diana Wald
Diana Wald is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Surgery, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 9 papers that have together received 525 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (4 papers), Cardiovascular Disease and Adiposity (4 papers), Cardiac and Coronary Surgery Techniques (2 papers), Adipose Tissue and Metabolism (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Genetic and Kidney Cyst Diseases (1 paper), Dental Radiography and Imaging (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (200 citations), Radiation (30 citations), Cardiology and Cardiovascular Medicine (78 citations), Physiology (87 citations) and General Dentistry (6 citations). Diana Wald has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Alexander Seitel, Ivo Wolf, Alfred M. Franz, Marco Nolden, Daniel Maleike, Klaus Maier‐Hein, Hans Peter Meinzer, Matthias Baumhauer, Michael Müller and Markus Fangerau. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Cell Cycle, Journal of Magnetic Resonance Imaging, PLoS ONE and BMC Medical Education.
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.