Frank Ruschitzka
- Statistics, Probability and Uncertainty top 5%
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- History and Philosophy of Science top 10%
- Sociology and Political Science
- Co-authors
- Thomas F. LüscherGeorg NollMatthias HasunKim FoxDimitri Aristotle RaptisJeroen J. BaxMichał TenderaPierre–Alain Clavien
- Topics
- Hormonal Regulation and Hypertension (3 papers)Meta-analysis and systematic reviews (2 papers)scientometrics and bibliometrics research (2 papers)
- Cited by
- Statistics, Probability and UncertaintyHistory and Philosophy of ScienceCardiology and Cardiovascular Medicine
- Partner nations
- SwitzerlandUnited KingdomNetherlands
In The Last Decade
Frank Ruschitzka
5 papers receiving 82 citations
Peers
Comparison fields: 5 of 39
- Statistics, Probability and Uncertainty 43
- Cardiology and Cardiovascular Medicine 23
- Public Health, Environmental and Occupational Health 12
- History and Philosophy of Science 11
- Sociology and Political Science 9
Countries citing papers authored by Frank Ruschitzka
This map shows the geographic impact of Frank Ruschitzka'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 Frank Ruschitzka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Ruschitzka more than expected).
Fields of papers citing papers by Frank Ruschitzka
This network shows the impact of papers produced by Frank Ruschitzka. 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 Frank Ruschitzka. The network helps show where Frank Ruschitzka may publish in the future.
Co-authorship network of co-authors of Frank Ruschitzka
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Ruschitzka. A scholar is included among the top collaborators of Frank Ruschitzka 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 Frank Ruschitzka. Frank Ruschitzka 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 | 6 | |
| 4 | 56 | |
| 5 | Clinical trials report. CHARM-Added Trial. | 2 |
| 6 | Clinical trials report. The sweet secret of dark chocolate. | 1 |
| 7 | 17 |
About Frank Ruschitzka
Frank Ruschitzka is a scholar working on Statistics, Probability and Uncertainty, Endocrinology, Diabetes and Metabolism and Information Systems and Management, having authored 7 papers that have together received 82 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (3 papers), Meta-analysis and systematic reviews (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (43 citations), History and Philosophy of Science (11 citations) and Cardiology and Cardiovascular Medicine (23 citations). Frank Ruschitzka has collaborated with scholars based in Switzerland, United Kingdom and Netherlands. Frequent co-authors include Thomas F. Lüscher, Georg Noll, Matthias Hasun, Kim Fox, Dimitri Aristotle Raptis, Jeroen J. Bax, Michał Tendera, Pierre–Alain Clavien, Michel Komajda and Frans Van de Werf. Their work appears in journals such as The Lancet, European Heart 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.