Bernardo Gutiérrez
- Modeling and Simulation top 0.05%
- Economics and Econometrics top 1%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Global and Planetary Change top 5%
- Co-authors
- Moritz U. G. KraemerOliver G. PybusSamuel V. ScarpinoHuaiyu TianChristopher DyeDavid M. PigottJohn S. BrownsteinAlessandro Vespignani
- Topics
- COVID-19 epidemiological studies (9 papers)Genetic diversity and population structure (7 papers)COVID-19 Pandemic Impacts (5 papers)
- Partner nations
- EcuadorUnited KingdomUnited States
In The Last Decade
Bernardo Gutiérrez
39 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Modeling and Simulation 2.1k
- Economics and Econometrics 1.1k
- Infectious Diseases 809
- Epidemiology 601
- Global and Planetary Change 414
Countries citing papers authored by Bernardo Gutiérrez
This map shows the geographic impact of Bernardo Gutiérrez'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 Bernardo Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernardo Gutiérrez more than expected).
Fields of papers citing papers by Bernardo Gutiérrez
This network shows the impact of papers produced by Bernardo Gutiérrez. 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 Bernardo Gutiérrez. The network helps show where Bernardo Gutiérrez may publish in the future.
Co-authorship network of co-authors of Bernardo Gutiérrez
This figure shows the co-authorship network connecting the top 25 collaborators of Bernardo Gutiérrez. A scholar is included among the top collaborators of Bernardo Gutiérrez 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 Bernardo Gutiérrez. Bernardo Gutiérrez 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 | 2 | |
| 5 | 34 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | The effect of human mobility and control measures on the COVID-19 epidemic in Chinabreakdown → | 1934 |
| 14 | 26 | |
| 15 | 143 | |
| 16 | 16 | |
| 17 | Preparedness and vulnerability of African countries against importations of COVID-19: a modelling studybreakdown → | 785 |
| 18 | 32 | |
| 19 | 24 | |
| 20 | 8 |
About Bernardo Gutiérrez
Bernardo Gutiérrez is a scholar working on Modeling and Simulation, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 43 papers that have together received 3.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Genetic diversity and population structure (7 papers) and COVID-19 Pandemic Impacts (5 papers). The work is most often cited by research in Modeling and Simulation (2.1k citations), Transportation (397 citations) and Infectious Diseases (809 citations). Bernardo Gutiérrez has collaborated with scholars based in Ecuador, United Kingdom and United States. Frequent co-authors include Moritz U. G. Kraemer, Oliver G. Pybus, Samuel V. Scarpino, Huaiyu Tian, Christopher Dye, David M. Pigott, John S. Brownstein, Alessandro Vespignani, Louis du Plessis and Nuno R. Faria. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.