León Danon

75 papers receiving 5.7k citations

León Danon's Hit Papers

Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study 2021 · 452 citations
4520+8+16Years since publication50010001.5k

Peers

León Danon
Comparison fields: 5 of 176
  • Statistical and Nonlinear Physics 2.8k
  • Modeling and Simulation 778
  • Infectious Diseases 755
  • Transportation 213
  • Geophysics 412
Replace Stephen Eubank with:
Stephen Eubank United States
Vittorio Loreto Italy
David R. Hunter United States
Lin Wang China
Ciro Cattuto Italy
Alain Barrat France
Zoltán Toroczkai United States
Michael P. H. Stumpf United Kingdom
Matthew D. Hoffman United States
Jean-François Pinton France
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Citations per year

Countries citing papers authored by León Danon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparing community structure identification
Hit paper breakdown →
20051919
2
Self-similar community structure in a network of human interactions
Hit paper breakdown →
20031055
3
Unified Scaling Law for Earthquakes
Hit paper breakdown →
2002517
4
Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study
Hit paper breakdown →
2021452
5 2006197
6 2002148
7 2009119
8 2010109
9 202193
10 201371
11 201271
12 202270
13 202152
14 201044
15 200644
16 201042
17 202042
18 202141
19 202140
20 200839

About León Danon

León Danon is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 78 papers that have together received 5.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (31 papers), Complex Network Analysis Techniques (12 papers), Data-Driven Disease Surveillance (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Opinion Dynamics and Social Influence (7 papers), Pneumonia and Respiratory Infections (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.8k citations), Modeling and Simulation (778 citations), Infectious Diseases (755 citations), Transportation (213 citations) and Geophysics (412 citations). León Danon has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Albert Dı́az-Guilera, Àlex Arenas, Jordi Duch, Roger Guimerà, Francesc Giralt, Per Bak, Kim Christensen, Tim Scanlon, Matt J. Keeling and Ellen Brooks‐Pollock. Their work appears in journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Computational Biology, Proceedings of the National Academy of Sciences and Proceedings of the Royal Society B Biological 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.

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