Marcel Salathé
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 21
- Analytical Chemistry top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 9
- Health top 1%
- Plant Science top 0.5%
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- Data-Driven Disease Surveillance 15
- Influenza Virus Research Studies 9
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- Misinformation and Its Impacts 12
- Evolutionary Game Theory and Cooperation 11
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- Evolution and Genetic Dynamics 12
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- COVID-19 Digital Contact Tracing 9
- Co-authors
- Sharada P. MohantyDavid HughesJames H. JonesVincent A. A. JansenSebastian FunkShashank KhandelwalSebastian BonhoefferMarcus W. Feldman
- Journals
- Scientific Reports (5 papers)PLoS Computational Biology (4 papers)Frontiers in Nutrition (3 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Marcel Salathé
81 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Modeling and Simulation 1.7k
- Analytical Chemistry 881
- Statistical and Nonlinear Physics 984
- Health 567
- Plant Science 2.5k
Countries citing papers authored by Marcel Salathé
This map shows the geographic impact of Marcel Salathé'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 Marcel Salathé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Salathé more than expected).
Fields of papers citing papers by Marcel Salathé
This network shows the impact of papers produced by Marcel Salathé. 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 Marcel Salathé. The network helps show where Marcel Salathé may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcel Salathé, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2021 | 66 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 48 | |
| 10 | 2017 | 12 | |
| 11 | Inference of Plant Diseases from Leaf Images through Deep Learning | 2016 | 7 |
| 12 | 2014 | 77 | |
| 13 | 2012 | 5 | |
| 14 | 2012 | 278 | |
| 15 | 2012 | 8 | |
| 16 | Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Controlbreakdown → | 2011 | 366 |
| 17 | 2008 | 171 | |
| 18 | 2007 | 62 | |
| 19 | 2005 | 27 | |
| 20 | 2005 | 35 |
About Marcel Salathé
Marcel Salathé is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics, Health Informatics and Genetics, having authored 85 papers that have together received 7.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (21 papers), Data-Driven Disease Surveillance (15 papers), Misinformation and Its Impacts (12 papers), Evolution and Genetic Dynamics (12 papers), Evolutionary Game Theory and Cooperation (11 papers), Influenza Virus Research Studies (9 papers), Complex Network Analysis Techniques (9 papers) and COVID-19 Digital Contact Tracing (9 papers). The work is most often cited by research in Modeling and Simulation (1.7k citations), Analytical Chemistry (881 citations), Statistical and Nonlinear Physics (984 citations), Health (567 citations) and Plant Science (2.5k citations). Marcel Salathé has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Sharada P. Mohanty, David Hughes, James H. Jones, Vincent A. A. Jansen, Sebastian Funk, Shashank Khandelwal, Sebastian Bonhoeffer, Marcus W. Feldman, Maria Kazandjieva and Philip Levis. Their work appears in journals such as Scientific Reports, PLoS Computational Biology, Frontiers in Nutrition, Proceedings of the National Academy of Sciences and Swiss Medical Weekly.
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.