León Danon
- Statistical and Nonlinear Physics top 0.1%
- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 7
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 39
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 8
- Transportation top 2%
- Geophysics top 5%
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- Influenza Virus Research Studies 10
- Data-Driven Disease Surveillance 10
- Pneumonia and Respiratory Infections 7
- Co-authors
- Àlex ArenasAlbert Dı́az-GuileraJordi DuchRoger GuimeràFrancesc GiraltKim ChristensenPer BakTim Scanlon
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (6 papers)PLoS ONE (6 papers)PLoS Computational Biology (4 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
León Danon
73 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Statistical and Nonlinear Physics 2.7k
- Modeling and Simulation 891
- Infectious Diseases 918
- Transportation 215
- Geophysics 406
Countries citing papers authored by León Danon
This map shows the geographic impact of León Danon'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 León Danon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites León Danon more than expected).
Fields of papers citing papers by León Danon
This network shows the impact of papers produced by León Danon. 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 León Danon. The network helps show where León Danon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside León Danon, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 49 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 40 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 40 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 11 | |
| 17 | 2013 | 35 | |
| 18 | 2012 | 70 | |
| 19 | 2010 | 45 | |
| 20 | 2008 | 40 |
About León Danon
León Danon is a scholar working on Modeling and Simulation, Infectious Diseases and Statistical and Nonlinear Physics, having authored 77 papers that have together received 5.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (39 papers), Complex Network Analysis Techniques (12 papers), Influenza Virus Research Studies (10 papers), Data-Driven Disease Surveillance (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (8 papers), Pneumonia and Respiratory Infections (7 papers) and Opinion Dynamics and Social Influence (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.7k citations), Modeling and Simulation (891 citations) and Infectious Diseases (918 citations). León Danon has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Àlex Arenas, Albert Dı́az-Guilera, Jordi Duch, Roger Guimerà, Francesc Giralt, Kim Christensen, Per Bak, Tim Scanlon, Matt J. Keeling and Ellen Brooks‐Pollock. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS ONE, PLoS Computational Biology, Proceedings of the Royal Society B Biological Sciences and Proceedings of the National Academy of Sciences.
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.