Martin Ebinger
- Internal Medicine top 0.5%
- Venous Thromboembolism Diagnosis and Management 29
- Rehabilitation top 0.2%
- Stroke Rehabilitation and Recovery 35
- Neurology top 1%
- Traumatic Brain Injury and Neurovascular Disturbances 25
- Intracerebral and Subarachnoid Hemorrhage Research 9
- Epidemiology top 1%
- Acute Ischemic Stroke Management 99
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- Cerebrovascular and Carotid Artery Diseases 38
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- Advanced MRI Techniques and Applications 14
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- Trauma and Emergency Care Studies 7
Martin Ebinger
113 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 108
- Internal Medicine 597
- Rehabilitation 979
- Neurology 1.1k
- Epidemiology 2.4k
- Pulmonary and Respiratory Medicine 1.0k
Countries citing papers authored by Martin Ebinger
This map shows the geographic impact of Martin Ebinger'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 Martin Ebinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ebinger more than expected).
Fields of papers citing papers by Martin Ebinger
This network shows the impact of papers produced by Martin Ebinger. 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 Martin Ebinger. The network helps show where Martin Ebinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Ebinger, 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 | 13 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 19 | |
| 9 | 2018 | 2 | |
| 10 | 2017 | 42 | |
| 11 | 2016 | 82 | |
| 12 | 2015 | 68 | |
| 13 | 2013 | 10 | |
| 14 | High Tmax Values on Perfusion MRI Often Reflect Low CBV - A Pathophysiological Link Between the Malignant Perfusion Profile and Poor Outcome? | 2011 | 2 |
| 15 | 2010 | 123 | |
| 16 | Testing the Mismatch Hypothesis in the Randomized EPITHET Data Set: The Effect of Treatment, Mismatch and Their Interaction on Infarct Growth | 2010 | 2 |
| 17 | Post-treatment Blood Pressure Control Predicts Thrombolysis Related Hemorrhagic Transformation | 2009 | 1 |
| 18 | Optimising MR Criteria for Penumbral Selection Trials | 2009 | 1 |
| 19 | 2009 | 81 | |
| 20 | 2009 | 42 |
About Martin Ebinger
Martin Ebinger is a scholar working on Internal Medicine, Rehabilitation and Epidemiology, having authored 117 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (99 papers), Cerebrovascular and Carotid Artery Diseases (38 papers), Stroke Rehabilitation and Recovery (35 papers), Venous Thromboembolism Diagnosis and Management (29 papers), Traumatic Brain Injury and Neurovascular Disturbances (25 papers), Advanced MRI Techniques and Applications (14 papers), Intracerebral and Subarachnoid Hemorrhage Research (9 papers) and Trauma and Emergency Care Studies (7 papers). The work is most often cited by research in Internal Medicine (597 citations), Rehabilitation (979 citations) and Neurology (1.1k citations). Martin Ebinger has collaborated with scholars based in Germany, Australia and France. Frequent co-authors include Matthias Endres, Jochen B. Fiebach, Heinrich J. Audebert, Michał Różański, Christian H. Nolte, Matthias Wendt, Joachim E. Weber, Benjamin Winter, Carolin Waldschmidt and Stephen M. Davis. Their work appears in journals such as Stroke, Frontiers in Neurology, International Journal of Stroke, Neurology and Cerebrovascular Diseases.
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.