Erich Kvas
Impact in
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- Cardiovascular Health and Disease Prevention
- Blood Pressure and Hypertension Studies
- Cardiovascular Function and Risk Factors
- Heart Rate Variability and Autonomic Control
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- Cerebrovascular and Carotid Artery Diseases
- Aortic Disease and Treatment Approaches
Papers in
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- Multiple Sclerosis Research Studies 8
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- Cardiovascular Health and Disease Prevention 5
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Bernd EberElisabeth LaßnigJohann AuerThomas WeberMichael F. O’RourkeRobert BerentC PunzengruberM. F. OʼRourke
In The Last Decade
Erich Kvas
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 1.3k
- Pulmonary and Respiratory Medicine 344
- Radiology, Nuclear Medicine and Imaging 231
- Surgery 316
- Endocrinology, Diabetes and Metabolism 105
Countries citing papers authored by Erich Kvas
This map shows the geographic impact of Erich Kvas'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 Erich Kvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Kvas more than expected).
Fields of papers citing papers by Erich Kvas
This network shows the impact of papers produced by Erich Kvas. 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 Erich Kvas. The network helps show where Erich Kvas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erich Kvas, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 10 | |
| 8 | 2017 | 22 | |
| 9 | 2013 | 3 | |
| 10 | 2008 | 141 | |
| 11 | 2006 | 80 | |
| 12 | 2006 | 43 | |
| 13 | 2005 | 247 | |
| 14 | 2004 | 25 | |
| 15 | 2003 | 144 | |
| 16 | Arterial Stiffness, Wave Reflections, and the Risk of Coronary Artery Disease Hit paper breakdown → | 2003 | 871 |
| 17 | 1999 | 9 | |
| 18 | 1998 | 20 | |
| 19 | 1996 | 33 |
About Erich Kvas
Erich Kvas is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Hematology, Internal Medicine and Pharmacy, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Cardiovascular Health and Disease Prevention (5 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiovascular Function and Risk Factors (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Polyomavirus and related diseases (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Pulmonary and Respiratory Medicine (344 citations), Radiology, Nuclear Medicine and Imaging (231 citations), Surgery (316 citations) and Endocrinology, Diabetes and Metabolism (105 citations). Erich Kvas has collaborated with scholars based in Austria, Germany and Australia. Frequent co-authors include Bernd Eber, Elisabeth Laßnig, Johann Auer, Thomas Weber, Michael F. O’Rourke, Robert Berent, C Punzengruber, M. F. OʼRourke, Gudrun Lamm and M Rammer. Their work appears in journals such as Journal of Neurology, Acta Neurologica Scandinavica, Circulation, Infant Mental Health Journal and International Journal of Cardiology.
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.