Marcel Salathé

81 papers receiving 7.5k citations

Marcel Salathé's Hit Papers

COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter 2023 · 79 citations
790+5+10Years since publication50010001.5k2.0k2.5k

Peers

Marcel Salathé
Comparison fields: 5 of 191
  • Modeling and Simulation 1.7k
  • Analytical Chemistry 881
  • Statistical and Nonlinear Physics 984
  • Health 567
  • Plant Science 2.5k
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Citations per field
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Citations per year

Countries citing papers authored by Marcel Salathé

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Marcel Salathé Line = papers co-authored together Marcel Salathé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using Deep Learning for Image-Based Plant Disease Detection
Hit paper breakdown →
20162628
2
Modelling the influence of human behaviour on the spread of infectious diseases: a review
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2010887
3
A high-resolution human contact network for infectious disease transmission
Hit paper breakdown →
2010484
4 2010390
5
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control
Hit paper breakdown →
2011366
6 2009340
7 2012278
8 2008171
9 2013118
10 2018114
11 2008109
12 202094
13 202085
14 201384
15 201083
16
COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter
Hit paper breakdown →
202379
17 201477
18 202166
19 201466
20 201364

About Marcel Salathé

Marcel Salathé is a scholar working on Sociology and Political Science, Public Health, Environmental and Occupational Health, Epidemiology, Modeling and Simulation 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), Evolution and Genetic Dynamics (12 papers), Misinformation and Its Impacts (12 papers), Evolutionary Game Theory and Cooperation (11 papers), COVID-19 Digital Contact Tracing (9 papers), Complex Network Analysis Techniques (9 papers) and Influenza Virus Research Studies (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 United Kingdom. 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, Philip Levis and Jungwoo Lee. 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.

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