Stefan Heyder
Impact in
-
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- COVID-19 epidemiological studies 4
- Co-authors
- Thomas Hotz (2 shared papers)Sam Abbott (3 shared papers)Matthias an der Heiden (2 shared papers)Helmut Küchenhoff (1 shared paper)Daniel Wolffram (2 shared papers)Johannes Bracher (3 shared papers)Alexander Ullrich (1 shared paper)Felix Günther (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)physica status solidi (b) (1 paper)SIAM Journal on Control and Optimization (1 paper)Environments (1 paper)Proceedings of the Python in Science Conferences (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Stefan Heyder
6 papers receiving 29 citations
Peers
Comparison fields: 5 of 25
- Modeling and Simulation 14
- Infectious Diseases 5
- Public Health, Environmental and Occupational Health 6
- Geometry and Topology 2
- Applied Psychology 1
Countries citing papers authored by Stefan Heyder
This map shows the geographic impact of Stefan Heyder'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 Stefan Heyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Heyder more than expected).
Fields of papers citing papers by Stefan Heyder
This network shows the impact of papers produced by Stefan Heyder. 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 Stefan Heyder. The network helps show where Stefan Heyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Heyder, 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 | 10 | |
| 2 | 2022 | 8 | |
| 3 | 2023 | 6 | |
| 4 | 2020 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 0 |
About Stefan Heyder
Stefan Heyder is a scholar working on Modeling and Simulation, Infectious Diseases, Pollution, Information Systems and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 30 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Microplastics and Plastic Pollution (1 paper), Data-Driven Disease Surveillance (1 paper), Computational Physics and Python Applications (1 paper), Quantum Dots Synthesis And Properties (1 paper), COVID-19 Digital Contact Tracing (1 paper), COVID-19 Impact on Reproduction (1 paper) and Microbial bioremediation and biosurfactants (1 paper). The work is most often cited by research in Modeling and Simulation (14 citations), Infectious Diseases (5 citations), Public Health, Environmental and Occupational Health (6 citations), Geometry and Topology (2 citations) and Applied Psychology (1 citation). Stefan Heyder has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas Hotz, Sam Abbott, Matthias an der Heiden, Helmut Küchenhoff, Daniel Wolffram, Johannes Bracher, Alexander Ullrich, Felix Günther, Sebastian Funk and Melanie Schienle. Their work appears in journals such as PLoS Computational Biology, physica status solidi (b), SIAM Journal on Control and Optimization, Environments and Proceedings of the Python in Science Conferences.
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.