Cruz Vargas‐De‐León
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 18
- Fractional Differential Equations Solutions 8
- Mathematical Biology Tumor Growth 4
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- Mathematical and Theoretical Epidemiology and Ecology Models 32
- Malaria Research and Control 5
- Genetics top 5%
- Evolution and Genetic Dynamics 16
- Virology top 10%
- Applied Mathematics top 5%
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- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
- Co-authors
- Bruno BuonomoL. EstevaM.A. Taneco-HernándezAbba B. GumelDeborah LacitignolaCristóbal VargasAndrei KorobeinikovPedro Miramóntes
- Journals
- SHILAP Revista de lepidopterología (4 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
In The Last Decade
Cruz Vargas‐De‐León
62 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Modeling and Simulation 696
- Public Health, Environmental and Occupational Health 862
- Genetics 357
- Virology 43
- Applied Mathematics 66
Countries citing papers authored by Cruz Vargas‐De‐León
This map shows the geographic impact of Cruz Vargas‐De‐León'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 Cruz Vargas‐De‐León with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cruz Vargas‐De‐León more than expected).
Fields of papers citing papers by Cruz Vargas‐De‐León
This network shows the impact of papers produced by Cruz Vargas‐De‐León. 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 Cruz Vargas‐De‐León. The network helps show where Cruz Vargas‐De‐León may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cruz Vargas‐De‐León, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 1 | |
| 17 | Periodic solutions for seasonal SIQRS models with nonlinear infection terms | 2019 | 12 |
| 18 | 2019 | 21 | |
| 19 | 2018 | 6 | |
| 20 | Modeling control strategies for influenza A H1N1 epidemics: SIR models | 2012 | 13 |
About Cruz Vargas‐De‐León
Cruz Vargas‐De‐León is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (32 papers), COVID-19 epidemiological studies (18 papers), Evolution and Genetic Dynamics (16 papers), Fractional Differential Equations Solutions (8 papers), Malaria Research and Control (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Modeling and Simulation (696 citations), Public Health, Environmental and Occupational Health (862 citations) and Genetics (357 citations). Cruz Vargas‐De‐León has collaborated with scholars based in Mexico, Italy and Spain. Frequent co-authors include Bruno Buonomo, L. Esteva, M.A. Taneco-Hernández, Abba B. Gumel, Deborah Lacitignola, Cristóbal Vargas, Andrei Korobeinikov, Pedro Miramóntes, Raúl Peralta and Eric Ávila-Vales. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.