L. Esteva

3.3k total citations
70 papers, 2.4k citations indexed

About

L. Esteva is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, L. Esteva has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Public Health, Environmental and Occupational Health, 16 papers in Modeling and Simulation and 15 papers in Infectious Diseases. Recurrent topics in L. Esteva's work include Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), COVID-19 epidemiological studies (15 papers) and Mosquito-borne diseases and control (15 papers). L. Esteva is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), COVID-19 epidemiological studies (15 papers) and Mosquito-borne diseases and control (15 papers). L. Esteva collaborates with scholars based in Mexico, Brazil and Colombia. L. Esteva's co-authors include Cristóbal Vargas, C. A. Vargas, Hyun Mo Yang, Gustavo Cruz-Pacheco, S. K. Singh, Cláudia Pio Ferreira, Cruz Vargas‐De‐León, Carlos E. Vargas, Suani T. R. Pinho and Florisneide Rodrigues Barreto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bulletin of the Seismological Society of America and Journal of Mathematical Analysis and Applications.

In The Last Decade

L. Esteva

67 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L. Esteva Mexico 25 1.6k 987 575 487 261 70 2.4k
Philip A. Eckhoff United States 24 1.0k 0.6× 272 0.3× 414 0.7× 140 0.3× 9 0.0× 54 2.0k
Edy Soewono Indonesia 18 591 0.4× 449 0.5× 229 0.4× 97 0.2× 11 0.0× 106 1.0k
Benjamín Ivorra Spain 18 250 0.2× 536 0.5× 287 0.5× 37 0.1× 79 0.3× 62 1.2k
Marc Souris France 24 728 0.4× 217 0.2× 877 1.5× 30 0.1× 13 0.0× 63 1.7k
Folashade B. Agusto United States 23 1.2k 0.7× 839 0.9× 627 1.1× 291 0.6× 8 0.0× 74 1.9k
M. Gabriela M. Gomes Portugal 27 766 0.5× 761 0.8× 598 1.0× 379 0.8× 7 0.0× 81 2.3k
Yves Dumont France 21 869 0.5× 315 0.3× 193 0.3× 331 0.7× 36 0.1× 89 1.6k
Timothy P. Endy United States 19 3.1k 1.9× 302 0.3× 2.8k 4.9× 93 0.2× 7 0.0× 25 3.9k
Gergely Röst Hungary 22 645 0.4× 820 0.8× 343 0.6× 258 0.5× 8 0.0× 97 1.5k
Xinyu Song China 36 2.8k 1.7× 1.3k 1.3× 97 0.2× 1.7k 3.5× 39 0.1× 227 3.7k

Countries citing papers authored by L. Esteva

Since Specialization
Citations

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

Fields of papers citing papers by L. Esteva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Esteva. 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 L. Esteva. The network helps show where L. Esteva may publish in the future.

Co-authorship network of co-authors of L. Esteva

This figure shows the co-authorship network connecting the top 25 collaborators of L. Esteva. A scholar is included among the top collaborators of L. Esteva 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 L. Esteva. L. Esteva 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.
Esteva, L., et al.. (2023). Dynamical Analysis of a Model for Secondary Infection of the Dengue. Differential Equations and Dynamical Systems. 33(1). 43–69. 2 indexed citations
2.
Adimy, Mostafa, et al.. (2021). Modeling the Relationship Between Antibody-Dependent Enhancement and Disease Severity in Secondary Dengue Infection. Bulletin of Mathematical Biology. 83(8). 85–85. 13 indexed citations
3.
Azevedo, Fábio Mícolis de & L. Esteva. (2019). Assessing the Impact of Prophylactic Vaccines on HPV Prevalence. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Esteva, L., Cristóbal Vargas, & Hyun Mo Yang. (2019). A model for yellow fever with migration. Computational and Mathematical Methods. 1(6). 6 indexed citations
5.
Esteva, L., et al.. (2018). Global analysis of a mathematical model for hepatitis C considering the host immune system. Journal of Mathematical Analysis and Applications. 461(2). 1378–1390. 6 indexed citations
6.
Cruz-Pacheco, Gustavo, L. Esteva, & Cristóbal Vargas. (2014). Vaccination Strategies for SIR Vector-Transmitted Diseases. Bulletin of Mathematical Biology. 76(8). 2073–2090. 7 indexed citations
7.
Esteva, L., et al.. (2014). On CTL response against mycobacterium tuberculosis. Applied Mathematical Sciences. 8. 2383–2389. 4 indexed citations
8.
Ferreira, Cláudia Pio, L. Esteva, Wesley Augusto Conde Godoy, & Fernando L. Cônsoli. (2014). Landscape Diversity Influences Dispersal and Establishment of Pest with Complex Nutritional Ecology. Bulletin of Mathematical Biology. 76(7). 1747–1761. 7 indexed citations
9.
Cruz-Pacheco, Gustavo, L. Esteva, & Cristóbal Vargas. (2012). Control measures for Chagas disease. Mathematical Biosciences. 237(1-2). 49–60. 36 indexed citations
10.
Esteva, L., et al.. (2011). Un modelo matematico sobre bacterias sensibles y resistentes a antibioticos. Redalyc (Universidad Autónoma del Estado de México). 55–73. 8 indexed citations
11.
Esteva, L., et al.. (2011). A mathematical model for cellular immunology of tuberculosis. Mathematical Biosciences & Engineering. 8(4). 973–986. 17 indexed citations
12.
Esteva, L., Abba B. Gumel, & Cruz Vargas‐De‐León. (2009). Qualitative study of transmission dynamics of drug-resistant malaria. Mathematical and Computer Modelling. 50(3-4). 611–630. 55 indexed citations
13.
Cruz-Pacheco, Gustavo, L. Esteva, & Cristóbal Vargas. (2009). Seasonality and Outbreaks in West Nile Virus Infection. Bulletin of Mathematical Biology. 71(6). 1378–1393. 35 indexed citations
14.
Yang, Hyun Mo, et al.. (2009). Optimal control of Aedes aegypti mosquitoes by the sterile insect technique and insecticide. Mathematical Biosciences. 223(1). 12–23. 111 indexed citations
15.
Cruz-Pacheco, Gustavo, et al.. (2005). Modelling the dynamics of West Nile Virus. Bulletin of Mathematical Biology. 67(6). 1157–1172. 107 indexed citations
16.
Esteva, L. & Hyun Mo Yang. (2005). Mathematical model to assess the control of Aedes aegypti mosquitoes by the sterile insect technique. Mathematical Biosciences. 198(2). 132–147. 120 indexed citations
17.
Esteva, L. & Cristóbal Vargas. (2003). Coexistence of different serotypes of dengue virus. Journal of Mathematical Biology. 46(1). 31–47. 140 indexed citations
18.
Esteva, L.. (1988). 1. The Mexico Earthquake of September 19, 1985—Consequences, Lessons, and Impact on Research and Practice. Earthquake Spectra. 4(3). 413–426. 39 indexed citations
19.
Singh, S. K., et al.. (1983). Statistics of small earthquakes and frequency of occurrence of large earthquakes along the Mexican subduction zone. Bulletin of the Seismological Society of America. 73. 1779–1796. 128 indexed citations
20.
Ruiz, Sonia E. & L. Esteva. (1970). About The Effectiveness Of Tuned Mass Dampers OnNonlinear Systems Subjected To Earthquakes. WIT transactions on the built environment. 23. 2 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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