Márton Kolossváry
- Radiology, Nuclear Medicine and Imaging top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Biomedical Engineering top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Pál Maurovich‐HorvatBéla MerkelyBálint SzilveszterJúlia KarádyDamini DeyAndrew LinMiklós KellermayerUdo Hoffmann
- Topics
- Cardiac Imaging and Diagnostics (76 papers)Advanced X-ray and CT Imaging (38 papers)Coronary Interventions and Diagnostics (20 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsCardiology and Cardiovascular Medicine
- Partner nations
- HungaryUnited StatesNetherlands
In The Last Decade
Márton Kolossváry
119 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 1.3k
- Cardiology and Cardiovascular Medicine 801
- Biomedical Engineering 632
- Surgery 451
- Pulmonary and Respiratory Medicine 282
Countries citing papers authored by Márton Kolossváry
This map shows the geographic impact of Márton Kolossváry'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 Márton Kolossváry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márton Kolossváry more than expected).
Fields of papers citing papers by Márton Kolossváry
This network shows the impact of papers produced by Márton Kolossváry. 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 Márton Kolossváry. The network helps show where Márton Kolossváry may publish in the future.
Co-authorship network of co-authors of Márton Kolossváry
This figure shows the co-authorship network connecting the top 25 collaborators of Márton Kolossváry. A scholar is included among the top collaborators of Márton Kolossváry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Márton Kolossváry. Márton Kolossváry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | Heritability of Coronary Artery Disease: Insights
\nFrom a Classical Twin Study | 23 |
| 13 | 24 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 21 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 32 |
About Márton Kolossváry
Márton Kolossváry is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 134 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (76 papers), Advanced X-ray and CT Imaging (38 papers) and Coronary Interventions and Diagnostics (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (59 citations) and Cardiology and Cardiovascular Medicine (801 citations). Márton Kolossváry has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Pál Maurovich‐Horvat, Béla Merkely, Bálint Szilveszter, Júlia Karády, Damini Dey, Andrew Lin, Miklós Kellermayer, Udo Hoffmann, Piotr J. Slomka and Pieter Kitslaar. Their work appears in journals such as Circulation, Journal of Clinical Investigation and PLoS ONE.
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.