Gilberto González‐Parra
- Modeling and Simulation top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 5%
- Epidemiology
- Genetics
- Co-authors
- Abraham J. ArenasBenito M. Chen‐CharpentierRafael J. VillanuevaL. JódarHana M. DobrovolnyFrancisco José Santonja GómezL. AcedoMiguel Díaz‐Rodríguez
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (40 papers)COVID-19 epidemiological studies (38 papers)Fractional Differential Equations Solutions (21 papers)
- Cited by
- Modeling and SimulationNumerical AnalysisPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesColombiaVenezuela
In The Last Decade
Gilberto González‐Parra
99 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 930
- Public Health, Environmental and Occupational Health 722
- Infectious Diseases 333
- Epidemiology 227
- Genetics 157
Countries citing papers authored by Gilberto González‐Parra
This map shows the geographic impact of Gilberto González‐Parra'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 Gilberto González‐Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilberto González‐Parra more than expected).
Fields of papers citing papers by Gilberto González‐Parra
This network shows the impact of papers produced by Gilberto González‐Parra. 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 Gilberto González‐Parra. The network helps show where Gilberto González‐Parra may publish in the future.
Co-authorship network of co-authors of Gilberto González‐Parra
This figure shows the co-authorship network connecting the top 25 collaborators of Gilberto González‐Parra. A scholar is included among the top collaborators of Gilberto González‐Parra 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 Gilberto González‐Parra. Gilberto González‐Parra 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | 19 | |
| 20 | 4 |
About Gilberto González‐Parra
Gilberto González‐Parra is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Parasitology, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (40 papers), COVID-19 epidemiological studies (38 papers) and Fractional Differential Equations Solutions (21 papers). The work is most often cited by research in Modeling and Simulation (930 citations), Numerical Analysis (140 citations) and Public Health, Environmental and Occupational Health (722 citations). Gilberto González‐Parra has collaborated with scholars based in United States, Colombia and Venezuela. Frequent co-authors include Abraham J. Arenas, Benito M. Chen‐Charpentier, Rafael J. Villanueva, L. Jódar, Hana M. Dobrovolny, Francisco José Santonja Gómez, L. Acedo, Miguel Díaz‐Rodríguez, J.-A. Moraño and Hristo V. Kojouharov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Virology.
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.