José D. Flores

1.4k total citations
29 papers, 991 citations indexed

About

José D. Flores is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, José D. Flores has authored 29 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 14 papers in Genetics and 9 papers in Modeling and Simulation. Recurrent topics in José D. Flores's work include Evolution and Genetic Dynamics (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Plant and animal studies (5 papers). José D. Flores is often cited by papers focused on Evolution and Genetic Dynamics (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Plant and animal studies (5 papers). José D. Flores collaborates with scholars based in United States, Chile and Australia. José D. Flores's co-authors include Rodrigo Ramos‐Jiliberto, Eduardo González‐Olivares, Fernanda S. Valdovinos, Pablo Moisset de Espanés, Jaime Mena-Lorca, Kendall Atkinson, Alejandro Rojas‐Palma, Cécile Viboud, Mark A. Miller and Gerardo Chowell and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and The Journal of Infectious Diseases.

In The Last Decade

José D. Flores

29 papers receiving 955 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
José D. Flores 363 335 299 205 190 29 991
Lionel Roques 785 2.2× 466 1.4× 122 0.4× 139 0.7× 392 2.1× 68 1.5k
Rongsong Liu 527 1.5× 301 0.9× 99 0.3× 81 0.4× 349 1.8× 46 824
Lai Zhang 499 1.4× 310 0.9× 81 0.3× 120 0.6× 230 1.2× 72 931
Juhua Liang 399 1.1× 193 0.6× 54 0.2× 43 0.2× 238 1.3× 25 792
Michael H. Cortez 303 0.8× 509 1.5× 181 0.6× 77 0.4× 39 0.2× 39 880
Frank M. Hilker 1.4k 3.8× 1.3k 3.8× 178 0.6× 182 0.9× 342 1.8× 79 2.2k
Manojit Roy 265 0.7× 223 0.7× 105 0.4× 198 1.0× 104 0.5× 40 960
Shinji Nakaoka 426 1.2× 273 0.8× 172 0.6× 15 0.1× 282 1.5× 76 1.9k
Xu‐Sheng Zhang 126 0.3× 608 1.8× 253 0.8× 45 0.2× 177 0.9× 71 1.3k
Bret D. Elderd 126 0.3× 266 0.8× 238 0.8× 272 1.3× 54 0.3× 41 1.1k

Countries citing papers authored by José D. Flores

Since Specialization
Citations

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

Fields of papers citing papers by José D. Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José D. Flores. 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 José D. Flores. The network helps show where José D. Flores may publish in the future.

Co-authorship network of co-authors of José D. Flores

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

All Works

20 of 20 papers shown
1.
Wesner, Jeff S., et al.. (2021). Forecasting Hospitalizations Due to COVID-19 in South Dakota, USA. PubMed. 5(2). 218–229. 3 indexed citations
2.
Flores, José D., et al.. (2021). Helping Mothers Survive: Program Evaluation and Early Outcomes of Maternal Care Training in the Dominican Republic. Frontiers in Public Health. 9. 660908–660908. 5 indexed citations
3.
Flores, José D., et al.. (2021). OUTCOMES FOR BLACK AND HISPANIC PATIENTS WITH COVID-19: A LARGE HEALTHCARE SYSTEM EXPERIENCE. CHEST Journal. 160(4). A581–A581. 1 indexed citations
4.
5.
Viboud, Cécile, Lone Simonsen, Rodrigo Fuentes, et al.. (2016). Global Mortality Impact of the 1957–1959 Influenza Pandemic. The Journal of Infectious Diseases. 213(5). 738–745. 145 indexed citations
6.
Chowell, Gerardo, Lone Simonsen, Rodrigo Fuentes, et al.. (2016). Severe mortality impact of the 1957 influenza pandemic in Chile. Influenza and Other Respiratory Viruses. 11(3). 230–239. 8 indexed citations
7.
Flores, José D. & Eduardo González‐Olivares. (2014). Dynamics of a predator–prey model with Allee effect on prey and ratio-dependent functional response. Ecological Complexity. 18. 59–66. 30 indexed citations
8.
González‐Olivares, Eduardo, et al.. (2013). Uniqueness of limit cycles and multiple attractors in a Gause-typepredator-prey model with nonmonotonic functional response and Allee effecton prey. Mathematical Biosciences & Engineering. 10(2). 345–367. 16 indexed citations
9.
Flores, José D., et al.. (2013). Food web modularity and biodiversity promote species persistence in polluted environments. Oikos. 123(5). 583–588. 19 indexed citations
10.
Aguirre, Pablo, José D. Flores, & Eduardo González‐Olivares. (2013). Bifurcations and global dynamics in a predator–prey model with a strong Allee effect on the prey, and a ratio-dependent functional response. Nonlinear Analysis Real World Applications. 16. 235–249. 43 indexed citations
11.
Ramos‐Jiliberto, Rodrigo, Fernanda S. Valdovinos, Pablo Moisset de Espanés, & José D. Flores. (2012). Topological plasticity increases robustness of mutualistic networks. Journal of Animal Ecology. 81(4). 896–904. 110 indexed citations
12.
Valdovinos, Fernanda S., Pablo Moisset de Espanés, José D. Flores, & Rodrigo Ramos‐Jiliberto. (2012). Adaptive foraging allows the maintenance of biodiversity of pollination networks. Oikos. 122(6). 907–917. 114 indexed citations
13.
González‐Olivares, Eduardo, et al.. (2011). Consequences of double Allee effect on the number of limit cycles in a predator–prey model. Computers & Mathematics with Applications. 62(9). 3449–3463. 41 indexed citations
14.
González‐Olivares, Eduardo, Jaime Mena-Lorca, Alejandro Rojas‐Palma, & José D. Flores. (2010). Dynamical complexities in the Leslie–Gower predator–prey model as consequences of the Allee effect on prey. Applied Mathematical Modelling. 35(1). 366–381. 103 indexed citations
15.
Valdovinos, Fernanda S., et al.. (2009). Structure and dynamics of pollination networks: the role of alien plants. Oikos. 118(8). 1190–1200. 76 indexed citations
16.
Simonetti, Javier A., et al.. (2008). Modelling the management of fragmented forests: Is it possible to recover the original tree composition?. Forest Ecology and Management. 255(7). 2236–2243. 8 indexed citations
17.
González‐Olivares, Eduardo, et al.. (2008). ALLEE EFFECT, EMIGRATION AND IMMIGRATION IN A CLASS OF PREDATOR-PREY MODELS. Biophysical Reviews and Letters. 3(01n02). 195–215. 4 indexed citations
18.
Ramos‐Jiliberto, Rodrigo, et al.. (2008). Role of inducible defenses in the stability of a tritrophic system. Ecological Complexity. 5(2). 183–192. 24 indexed citations
19.
Flores, José D., et al.. (2001). Numerical solution of laplace's equation on non-simply connected regions onR2. International Journal of Computer Mathematics. 78(2). 253–267. 1 indexed citations
20.
Flores, José D.. (1993). The conjugate gradient method for solving fredholm integral equations of the second kind. International Journal of Computer Mathematics. 48(1-2). 77–94. 5 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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