Daniel C. P. Jorge

407 total citations
9 papers, 142 citations indexed

About

Daniel C. P. Jorge is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Daniel C. P. Jorge has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 3 papers in Infectious Diseases and 3 papers in Economics and Econometrics. Recurrent topics in Daniel C. P. Jorge's work include COVID-19 epidemiological studies (7 papers), COVID-19 and Mental Health (2 papers) and COVID-19 Pandemic Impacts (2 papers). Daniel C. P. Jorge is often cited by papers focused on COVID-19 epidemiological studies (7 papers), COVID-19 and Mental Health (2 papers) and COVID-19 Pandemic Impacts (2 papers). Daniel C. P. Jorge collaborates with scholars based in Brazil, Portugal and United Kingdom. Daniel C. P. Jorge's co-authors include Roberto F. S. Andrade, Juliane F. Oliveira, Suani T. R. Pinho, Pablo Ivan Pereira Ramos, Moreno Magalhães de Souza Rodrigues, Luciana Lobato Cardim, José García Vivas Miranda, Rafael Veiga, Rosemeire Leovigildo Fiaccone and Ernesto A. B. F. Lima and has published in prestigious journals such as Nature Communications, Scientific Reports and Physica D Nonlinear Phenomena.

In The Last Decade

Daniel C. P. Jorge

8 papers receiving 142 citations

Peers

Daniel C. P. Jorge

MS

ID

PHEOH

EE

EPIDE

Tamás Tekeli Hungary

Corentin Cot France

S Riley United Kingdom

Jingyi Liao China

Jessica R. E. Bridgen United Kingdom

Manuel Adrian Acuña‐Zegarra Mexico

Jamie A. Cohen United States

Michael Kleinsasser United States

Joe Hilton United Kingdom

Emma S. Garlock Canada

Tamás Tekeli Hungary

Daniel C. P. Jorge

165 ×1.6

MS

84 ×1.7

ID

46 ×1.1

PHEOH

81 ×1.9

EE

28 ×1.5

EPIDE

Citations per year, relative to Daniel C. P. Jorge Daniel C. P. Jorge (= 1×) peers Tamás Tekeli

Countries citing papers authored by Daniel C. P. Jorge

Since Specialization

Citations

This map shows the geographic impact of Daniel C. P. Jorge'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 Daniel C. P. Jorge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. P. Jorge more than expected).

Fields of papers citing papers by Daniel C. P. Jorge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. P. Jorge. 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 Daniel C. P. Jorge. The network helps show where Daniel C. P. Jorge may publish in the future.

Co-authorship network of co-authors of Daniel C. P. Jorge

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. P. Jorge. A scholar is included among the top collaborators of Daniel C. P. Jorge 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 Daniel C. P. Jorge. Daniel C. P. Jorge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Jorge, Daniel C. P., et al.. (2025). La violencia intrafamiliar y su incidencia en el rendimiento estudiantil. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades. 5(6).

2.

Jorge, Daniel C. P. & Ricardo Martínez‐García. (2024). Demographic effects of aggregation in the presence of a component Allee effect. Journal of The Royal Society Interface. 21(215). 20240042–20240042. 3 indexed citations

3.

Jorge, Daniel C. P., et al.. (2023). Co-circulation of Dengue and Zika viruses: A modelling approach applied to epidemics data. Chaos Solitons & Fractals. 173. 113599–113599. 4 indexed citations

4.

Jorge, Daniel C. P., et al.. (2023). Applying a multi-strain dengue model to epidemics data. Mathematical Biosciences. 360. 109013–109013. 7 indexed citations

5.

Jorge, Daniel C. P., Juliane F. Oliveira, José García Vivas Miranda, Roberto F. S. Andrade, & Suani T. R. Pinho. (2022). Estimating the effective reproduction number for heterogeneous models using incidence data. Royal Society Open Science. 9(9). 220005–220005. 14 indexed citations

6.

Oliveira, Juliane F., Marcelo Menezes Morato, Pablo Ivan Pereira Ramos, et al.. (2021). A control framework to optimize public health policies in the course of the COVID-19 pandemic. Scientific Reports. 11(1). 13403–13403. 11 indexed citations

7.

Jorge, Daniel C. P., Moreno Magalhães de Souza Rodrigues, Luciana Lobato Cardim, et al.. (2021). Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil. Epidemics. 35. 100465–100465. 33 indexed citations

8.

Oliveira, Juliane F., Daniel C. P. Jorge, Rafael Veiga, et al.. (2021). Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil. Nature Communications. 12(1). 333–333. 57 indexed citations

9.

Miranda, José García Vivas, Rodrigo Nogueira de Vasconcelos, Diego Pereira Costa, et al.. (2020). Scaling effect in COVID-19 spreading: The role of heterogeneity in a hybrid ODE-network model with restrictions on the inter-cities flow. Physica D Nonlinear Phenomena. 415. 132792–132792. 13 indexed citations

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.

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