Eber Dantas
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Mathematical and Theoretical Epidemiology and Ecology Models
- Mosquito-borne diseases and control
Papers in
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- Mosquito-borne diseases and control 4
- HIV/AIDS oral health manifestations 1
-
- COVID-19 epidemiological studies 5
- Co-authors
- Michel Tosin (5 shared papers)Américo Cunha (6 shared papers)Rodrigo Burgos (1 shared paper)George S. Dulikravich (1 shared paper)Antônio Condino‐Neto (1 shared paper)Carolina Sánchez Aranda (1 shared paper)Hans Ingo Weber (1 shared paper)Lisandro Lovisolo (1 shared paper)
- Journals
- International Journal for Numerical Methods in Biomedical Engineering (1 paper)Applied Mathematics and Computation (1 paper)Journal of Allergy and Clinical Immunology (1 paper)Software Impacts (1 paper)Proceeding Series of the Brazilian Society of Computational and Applied Mathematics (1 paper)
- Partner nations
- BrazilUnited StatesRussia
In The Last Decade
Eber Dantas
7 papers receiving 52 citations
Peers
Comparison fields: 5 of 25
- Modeling and Simulation 38
- Public Health, Environmental and Occupational Health 29
- Infectious Diseases 14
- Statistical and Nonlinear Physics 7
- Epidemiology 12
Countries citing papers authored by Eber Dantas
This map shows the geographic impact of Eber Dantas'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 Eber Dantas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eber Dantas more than expected).
Fields of papers citing papers by Eber Dantas
This network shows the impact of papers produced by Eber Dantas. 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 Eber Dantas. The network helps show where Eber Dantas may publish in the future.
Co-authors
The 13 scholars most cited alongside Eber Dantas, 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 | 2018 | 39 | |
| 2 | 2022 | 5 | |
| 3 | Calibration of a SEIR epidemic model to describe Zika virus outbreak in Brazil | 2017 | 3 |
| 4 | 2012 | 2 | |
| 5 | 2018 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2019 | 0 |
About Eber Dantas
Eber Dantas is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Cardiology and Cardiovascular Medicine and Ocean Engineering, having authored 8 papers that have together received 53 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Syphilis Diagnosis and Treatment (1 paper), Viral Infections and Outbreaks Research (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and HIV/AIDS oral health manifestations (1 paper). The work is most often cited by research in Modeling and Simulation (38 citations), Public Health, Environmental and Occupational Health (29 citations), Infectious Diseases (14 citations), Statistical and Nonlinear Physics (7 citations) and Epidemiology (12 citations). Eber Dantas has collaborated with scholars based in Brazil, United States and Russia. Frequent co-authors include Michel Tosin, Américo Cunha, Rodrigo Burgos, George S. Dulikravich, Antônio Condino‐Neto, Carolina Sánchez Aranda, Hans Ingo Weber, Lisandro Lovisolo, Diego Matos and Víctor Nudelman. Their work appears in journals such as International Journal for Numerical Methods in Biomedical Engineering, Applied Mathematics and Computation, Journal of Allergy and Clinical Immunology, Software Impacts and Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
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.