Leonardo López

16 papers receiving 475 citations

Peers

Leonardo López
Comparison fields: 5 of 92
  • Modeling and Simulation 349
  • Infectious Diseases 125
  • Economics and Econometrics 124
  • Public Health, Environmental and Occupational Health 101
  • Statistical and Nonlinear Physics 35
Replace Jonas Dehning with:
Jonas Dehning Germany
João Pinheiro Neto Germany
Xiaodan Sun China
Lhakpa Tsamlag China
Wongyeong Choi South Korea
Laura Di Domenico France
Dina Mistry United States
C Sabbatini France
Zsolt Vizi Hungary
Marie Varughese Canada
Leonardo López relative to Jonas Dehning Germany Jonas Dehning's profile →
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Citations per year

Countries citing papers authored by Leonardo López

Since Specialization
Citations

This map shows the geographic impact of Leonardo López'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 Leonardo López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo López more than expected).

Fields of papers citing papers by Leonardo López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo López. 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 Leonardo López. The network helps show where Leonardo López may publish in the future.

Co-authors

The 13 scholars most cited alongside Leonardo López, 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 Leonardo López Line = papers co-authored together Leonardo López links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2020175
2 2020159
3 202145
4 202137
5 202023
6 201414
7 202010
8 20229
9 20228
10 20233
11 20251
12 20221
13 20231
14 20201
15 20241
16
A cellular automata to model epidemics
20131

About Leonardo López

Leonardo López is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 16 papers that have together received 489 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Mosquito-borne diseases and control (4 papers), COVID-19 Pandemic Impacts (4 papers), Zoonotic diseases and public health (2 papers), Vibrio bacteria research studies (2 papers), Complex Network Analysis Techniques (2 papers), Viral Infections and Vectors (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Modeling and Simulation (349 citations), Infectious Diseases (125 citations), Economics and Econometrics (124 citations), Public Health, Environmental and Occupational Health (101 citations) and Statistical and Nonlinear Physics (35 citations). Leonardo López has collaborated with scholars based in Spain, Argentina and France. Frequent co-authors include Xavier Rodó, Karin Kirchgatter, Leonardo L. Giovanini, Menno J. Bouma, Mercedes Pascual, Andrea A. Gómez, Richard Paúl, Van‐Mai Cao‐Lormeau, María Soledad López and Gabriela V. Müller. Their work appears in journals such as Nature Medicine, Physica D Nonlinear Phenomena, Nature Computational Science, Nature Human Behaviour and MethodsX.

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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