León Danon

78 papers receiving 6.1k 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 · 455 citations
4550+8+16Years since publication50010001.5k2.0k

Peers

León Danon
Comparison fields: 5 of 177
  • Statistical and Nonlinear Physics 3.1k
  • Modeling and Simulation 801
  • Infectious Diseases 779
  • Transportation 233
  • Geophysics 439
Replace Stephen Eubank with:
Stephen Eubank United States
David R. Hunter United States
Ciro Cattuto Italy
Lin Wang China
Alain Barrat France
Zoltán Toroczkai United States
Michael P. H. Stumpf United Kingdom
Vittoria Colizza France
Jean-François Pinton France
Henrik Jeldtoft Jensen United Kingdom
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Citations per field
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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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparing community structure identification
Hit paper breakdown →
20052153
2
Self-similar community structure in a network of human interactions
Hit paper breakdown →
20031151
3
Unified Scaling Law for Earthquakes
Hit paper breakdown →
2002560
4
Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study
Hit paper breakdown →
2021455
5 2006199
6 2002156
7 2009131
8 2010113
9 202194
10 201273
11 201372
12 202271
13 202155
14 200648
15 200845
16 201044
17 202044
18 200942
19 201042
20 202141

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 82 papers that have together received 6.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (34 papers), Complex Network Analysis Techniques (14 papers), Data-Driven Disease Surveillance (9 papers), Opinion Dynamics and Social Influence (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Pneumonia and Respiratory Infections (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and COVID-19 Pandemic Impacts (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.1k citations), Modeling and Simulation (801 citations), Infectious Diseases (779 citations), Transportation (233 citations) and Geophysics (439 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, Tim Scanlon, Per Bak, 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 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.

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