Marco Nardin
Impact in
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- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Stroke Rehabilitation and Recovery
Papers in
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- Advanced Neuroimaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
- Advanced MRI Techniques and Applications 1
- MRI in cancer diagnosis 1
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- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Ona Wu (4 shared papers)Markus D. Schirmer (5 shared papers)Kathleen Donahue (5 shared papers)Mark R. Etherton (4 shared papers)Anne‐Katrin Giese (4 shared papers)Natalia S. Rost (5 shared papers)Vince D. Calhoun (1 shared paper)Anna K. Bonkhoff (2 shared papers)
- Journals
- Human Brain Mapping (1 paper)Cerebrovascular Diseases (1 paper)Stroke (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Marco Nardin
5 papers receiving 75 citations
Peers
Comparison fields: 5 of 27
- Cognitive Neuroscience 48
- Rehabilitation 14
- Radiology, Nuclear Medicine and Imaging 33
- Neurology 11
- Epidemiology 21
Countries citing papers authored by Marco Nardin
This map shows the geographic impact of Marco Nardin'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 Marco Nardin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Nardin more than expected).
Fields of papers citing papers by Marco Nardin
This network shows the impact of papers produced by Marco Nardin. 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 Marco Nardin. The network helps show where Marco Nardin may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Nardin, 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 | 2021 | 50 | |
| 2 | 2020 | 14 | |
| 3 | 2019 | 10 | |
| 4 | 2022 | 1 | |
| 5 | Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. | 2019 | 1 |
About Marco Nardin
Marco Nardin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Neurology and Rehabilitation, having authored 5 papers that have together received 76 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (2 papers), Acute Ischemic Stroke Management (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Cerebral Venous Sinus Thrombosis (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced MRI Techniques and Applications (1 paper), Functional Brain Connectivity Studies (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Cognitive Neuroscience (48 citations), Rehabilitation (14 citations), Radiology, Nuclear Medicine and Imaging (33 citations), Neurology (11 citations) and Epidemiology (21 citations). Marco Nardin has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Ona Wu, Markus D. Schirmer, Kathleen Donahue, Mark R. Etherton, Anne‐Katrin Giese, Natalia S. Rost, Vince D. Calhoun, Anna K. Bonkhoff, Martin Bretzner and Christian Grefkes. Their work appears in journals such as Human Brain Mapping, Cerebrovascular Diseases, Stroke and Frontiers in Neurology.
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.