Stefan Senn
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Applied Mathematics top 10%
- Nonlinear Partial Differential Equations
Papers in
-
- Photosynthetic Processes and Mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
- Co-authors
- Peter Heß (1 shared paper)Wolfgang Esser‐Skala (2 shared papers)Christian G. Huber (2 shared papers)Therese Wohlschlager (2 shared papers)Paul G. Falkowski (3 shared papers)Eugen Damoc (1 shared paper)Johann Holzmann (1 shared paper)Kai Scheffler (1 shared paper)
- Journals
- Nature Communications (1 paper)Mathematische Annalen (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Communications in Partial Differential Equations (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Stefan Senn
10 papers receiving 311 citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 41
- Applied Mathematics 49
- Spectroscopy 46
- Public Health, Environmental and Occupational Health 69
- Mathematical Physics 24
Countries citing papers authored by Stefan Senn
This map shows the geographic impact of Stefan Senn'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 Senn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Senn more than expected).
Fields of papers citing papers by Stefan Senn
This network shows the impact of papers produced by Stefan Senn. 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 Senn. The network helps show where Stefan Senn may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Senn, 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 | 2018 | 89 | |
| 2 | 1982 | 66 | |
| 3 | 1983 | 43 | |
| 4 | 2022 | 34 | |
| 5 | 2013 | 28 | |
| 6 | 2015 | 25 | |
| 7 | 2018 | 23 | |
| 8 | 2013 | 12 | |
| 9 | 2018 | 5 | |
| 10 | 2016 | 4 |
About Stefan Senn
Stefan Senn is a scholar working on Molecular Biology, Applied Mathematics, Spectroscopy, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 10 papers that have together received 329 indexed citations. Recurring topics across this work include Metalloenzymes and iron-sulfur proteins (2 papers), Enzyme Structure and Function (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Elbow and Forearm Trauma Treatment (1 paper) and Advanced Mathematical Modeling in Engineering (1 paper). The work is most often cited by research in Modeling and Simulation (41 citations), Applied Mathematics (49 citations), Spectroscopy (46 citations), Public Health, Environmental and Occupational Health (69 citations) and Mathematical Physics (24 citations). Stefan Senn has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Peter Heß, Wolfgang Esser‐Skala, Christian G. Huber, Therese Wohlschlager, Paul G. Falkowski, Eugen Damoc, Johann Holzmann, Kai Scheffler, Vikas Nanda and Yana Bromberg. Their work appears in journals such as Nature Communications, Mathematische Annalen, Philosophical Transactions of the Royal Society B Biological Sciences, Communications in Partial Differential Equations and Proteins Structure Function and Bioinformatics.
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.