Fernando Córdova‐Lepe
- Public Health, Environmental and Occupational Health
- Modeling and Simulation top 2%
- Genetics
- Infectious Diseases
- Applied Mathematics top 10%
- Co-authors
- Eduardo González‐OlivaresGonzalo RobledoManuel PintoMaría Teresa Muñoz-QuezadaRodrigo GutiérrezMarco MoraKuo‐Shou ChiuAlejandro Rojas‐Palma
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (21 papers)COVID-19 epidemiological studies (20 papers)Evolution and Genetic Dynamics (10 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthApplied Mathematics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ChileColombiaUnited States
In The Last Decade
Fernando Córdova‐Lepe
50 papers receiving 299 citations
Peers
Comparison fields: 5 of 77
- Public Health, Environmental and Occupational Health 112
- Modeling and Simulation 104
- Genetics 58
- Infectious Diseases 42
- Applied Mathematics 35
Countries citing papers authored by Fernando Córdova‐Lepe
This map shows the geographic impact of Fernando Córdova‐Lepe'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 Fernando Córdova‐Lepe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Córdova‐Lepe more than expected).
Fields of papers citing papers by Fernando Córdova‐Lepe
This network shows the impact of papers produced by Fernando Córdova‐Lepe. 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 Fernando Córdova‐Lepe. The network helps show where Fernando Córdova‐Lepe may publish in the future.
Co-authorship network of co-authors of Fernando Córdova‐Lepe
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Córdova‐Lepe. A scholar is included among the top collaborators of Fernando Córdova‐Lepe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando Córdova‐Lepe. Fernando Córdova‐Lepe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | 14 |
About Fernando Córdova‐Lepe
Fernando Córdova‐Lepe is a scholar working on Modeling and Simulation, Developmental Biology and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 304 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), COVID-19 epidemiological studies (20 papers) and Evolution and Genetic Dynamics (10 papers). The work is most often cited by research in Modeling and Simulation (104 citations), Public Health, Environmental and Occupational Health (112 citations) and Applied Mathematics (35 citations). Fernando Córdova‐Lepe has collaborated with scholars based in Chile, Colombia and United States. Frequent co-authors include Eduardo González‐Olivares, Gonzalo Robledo, Manuel Pinto, María Teresa Muñoz-Quezada, Rodrigo Gutiérrez, Marco Mora, Kuo‐Shou Chiu, Alejandro Rojas‐Palma, Rodrigo Ramos‐Jiliberto and Gerardo Chowell. 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.