Danielle M. Dargis
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Intracranial Aneurysms: Treatment and Complications
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Cardiac Imaging and Diagnostics 4
- Medical Imaging Techniques and Applications 1
- Surgery 3
- Coronary Interventions and Diagnostics 3
- Co-authors
- U. Joseph Schoepf (8 shared papers)Rock H. Savage (1 shared paper)Chengwei Pan (1 shared paper)Zhao Shi (1 shared paper)Guangming Lu (1 shared paper)Xiuli Li (1 shared paper)Qianqian Ni (1 shared paper)Long Jiang Zhang (1 shared paper)
- Journals
- Journal of Thoracic Imaging (2 papers)International Journal of Cardiology (1 paper)American Journal of Neuroradiology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)International journal of cardiac imaging (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Danielle M. Dargis
8 papers receiving 158 citations
Peers
Comparison fields: 5 of 27
- Health Informatics 12
- Neurology 57
- Radiology, Nuclear Medicine and Imaging 49
- Cardiology and Cardiovascular Medicine 26
- Pulmonary and Respiratory Medicine 35
Countries citing papers authored by Danielle M. Dargis
This map shows the geographic impact of Danielle M. Dargis'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 Danielle M. Dargis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle M. Dargis more than expected).
Fields of papers citing papers by Danielle M. Dargis
This network shows the impact of papers produced by Danielle M. Dargis. 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 Danielle M. Dargis. The network helps show where Danielle M. Dargis may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle M. Dargis, 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 | 2020 | 70 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 15 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 5 |
About Danielle M. Dargis
Danielle M. Dargis is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering, Neurology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 159 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Advanced X-ray and CT Imaging (3 papers), Coronary Interventions and Diagnostics (3 papers), Intracranial Aneurysms: Treatment and Complications (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Atomic and Subatomic Physics Research (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (12 citations), Neurology (57 citations), Radiology, Nuclear Medicine and Imaging (49 citations), Cardiology and Cardiovascular Medicine (26 citations) and Pulmonary and Respiratory Medicine (35 citations). Danielle M. Dargis has collaborated with scholars based in United States, Germany and China. Frequent co-authors include U. Joseph Schoepf, Rock H. Savage, Chengwei Pan, Zhao Shi, Guangming Lu, Xiuli Li, Qianqian Ni, Long Jiang Zhang, Tilman Emrich and Gilberto J. Aquino. Their work appears in journals such as Journal of Thoracic Imaging, International Journal of Cardiology, American Journal of Neuroradiology, Journal of Magnetic Resonance Imaging and International journal of cardiac imaging.
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.