Markus Mayr
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Petra Goldenits (3 shared papers)Markus Aurada (3 shared papers)Samuel Ferraz-Leite (2 shared papers)Michael Karkulik (3 shared papers)Dirk Praetorius (3 shared papers)Heribert Insam (6 shared papers)Rudolf Markt (4 shared papers)Andreas Otto Wagner (3 shared papers)
In The Last Decade
Markus Mayr
10 papers receiving 338 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 109
- Numerical Analysis 33
- Modeling and Simulation 24
- Computational Mechanics 80
- Computational Theory and Mathematics 34
Countries citing papers authored by Markus Mayr
This map shows the geographic impact of Markus Mayr'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 Markus Mayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Mayr more than expected).
Fields of papers citing papers by Markus Mayr
This network shows the impact of papers produced by Markus Mayr. 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 Markus Mayr. The network helps show where Markus Mayr may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Mayr, 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 | 2011 | 172 | |
| 2 | 2023 | 34 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 30 | |
| 5 | 1995 | 25 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 18 | |
| 8 | 2013 | 13 | |
| 9 | 2020 | 12 | |
| 10 | Hilbert (Release 2): A MATLAB Implementation of Adaptive BEM | 2010 | 2 |
| 11 | Open Street Map for Multi-Modal Freight Transport Planning | 2014 | 1 |
About Markus Mayr
Markus Mayr is a scholar working on Infectious Diseases, Molecular Biology, Computational Mechanics, Numerical Analysis and Ecology, having authored 11 papers that have together received 360 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Numerical methods in engineering (2 papers), Microbial Community Ecology and Physiology (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cardiac Imaging and Diagnostics (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Infectious Diseases (109 citations), Numerical Analysis (33 citations), Modeling and Simulation (24 citations), Computational Mechanics (80 citations) and Computational Theory and Mathematics (34 citations). Markus Mayr has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Petra Goldenits, Markus Aurada, Samuel Ferraz-Leite, Michael Karkulik, Dirk Praetorius, Heribert Insam, Rudolf Markt, Andreas Otto Wagner, Sabine Marie Podmirseg and Nina Lackner. Their work appears in journals such as International Journal of Environmental Research and Public Health, Numerical Algorithms, Applied Numerical Mathematics, Molecular Ecology and Frontiers in Microbiology.
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.