Benjamín Ivorra

1.8k total citations
62 papers, 1.2k citations indexed

About

Benjamín Ivorra is a scholar working on Infectious Diseases, Modeling and Simulation and Computational Theory and Mathematics. According to data from OpenAlex, Benjamín Ivorra has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 14 papers in Modeling and Simulation and 12 papers in Computational Theory and Mathematics. Recurrent topics in Benjamín Ivorra's work include COVID-19 epidemiological studies (12 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (9 papers). Benjamín Ivorra is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (9 papers). Benjamín Ivorra collaborates with scholars based in Spain, France and United States. Benjamín Ivorra's co-authors include Ángel Ramos, Miriam R. Ferrández, María Pérez, José Manuel Sánchez‐Vizcaíno, Beatriz Martínez‐López, Juan G. Santiago, Bijan Mohammadi, Bijan Mohammadi, David E. Hertzog and Miguel Carrasco and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Benjamín Ivorra

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamín Ivorra Spain	18	536	287	250	162	122	62	1.2k
Ángel Ramos Spain	24	573 1.1×	323 1.1×	274 1.1×	177 1.1×	124 1.0×	141	2.3k
Marisa C. Eisenberg United States	27	858 1.6×	641 2.2×	497 2.0×	78 0.5×	82 0.7×	96	2.5k
M. Gabriela M. Gomes Portugal	27	761 1.4×	598 2.1×	766 3.1×	54 0.3×	62 0.5×	81	2.3k
Gergely Röst Hungary	22	820 1.5×	343 1.2×	645 2.6×	130 0.8×	28 0.2×	97	1.5k
Jorge X. Velasco‐Hernández Mexico	24	1.1k 2.1×	719 2.5×	1.5k 5.9×	122 0.8×	43 0.4×	79	2.7k
Duygu Balcan United States	13	1.3k 2.4×	203 0.7×	387 1.5×	202 1.2×	70 0.6×	21	2.1k
Benjamin Meyer Germany	32	868 1.6×	4.0k 13.9×	217 0.9×	77 0.5×	128 1.0×	79	4.9k
J Giles Australia	21	192 0.4×	366 1.3×	184 0.7×	47 0.3×	50 0.4×	76	1.7k
Edward L. Ionides United States	26	642 1.2×	422 1.5×	497 2.0×	175 1.1×	93 0.8×	60	2.6k

Countries citing papers authored by Benjamín Ivorra

Since Specialization

Citations

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

Fields of papers citing papers by Benjamín Ivorra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamín Ivorra

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

All Works

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20 of 20 papers shown

Ivorra, Benjamín, et al.. (2024). An age-structured mathematical model for studying Malaria transmission dynamics: Applications to some areas of Senegal. Mathematics and Computers in Simulation. 229. 392–408. 1 indexed citations

Carrasco, Miguel, Benjamín Ivorra, Julio López, & Ángel Ramos. (2024). Embedded feature selection for robust probability learning machines. Pattern Recognition. 159. 111157–111157. 4 indexed citations

Ivorra, Benjamín, et al.. (2021). An optimal control model to design strategies for reducing the spread of the Ebola virus disease. Mathematical Biosciences & Engineering. 19(2). 1746–1774. 9 indexed citations

Ramos, Ángel, et al.. (2021). Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19. Communications in Nonlinear Science and Numerical Simulation. 102. 105937–105937. 47 indexed citations

Ramos, Ángel, et al.. (2020). A simple but complex enough θ-SIR type model to be used with COVID-19 real data. Application to the case of Italy. Physica D Nonlinear Phenomena. 421. 132839–132839. 31 indexed citations

Ivorra, Benjamín, Miriam R. Ferrández, María Pérez, & Ángel Ramos. (2020). Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China. Communications in Nonlinear Science and Numerical Simulation. 88. 105303–105303. 396 indexed citations

Ivorra, Benjamín, et al.. (2020). Stability and sensitivity analysis of the epidemiological model Be-CoDiS predicting the spread of human diseases between countries. Electronic Journal of Differential Equations. 2020(01-132). 62–62. 2 indexed citations

Fernández‐Carrión, Eduardo, et al.. (2018). An advection-deposition-survival model to assess the risk of introduction of vector-borne diseases through the wind: Application to bluetongue outbreaks in Spain. PLoS ONE. 13(3). e0194573–e0194573. 7 indexed citations

Ivorra, Benjamín, et al.. (2017). Stability and sensitivity analysis of Be-CoDiS, an epidemiological model to predict the spread of human diseases between countries. 4(1). 1 indexed citations

10.

Ivorra, Benjamín, et al.. (2017). Stability analysis of a compartmental SEIHRD model for the Ebola virus disease. 1. 44–44. 1 indexed citations

11.

Fernández‐Carrión, Eduardo, Benjamín Ivorra, Beatriz Martínez‐López, Ángel Ramos, & José Manuel Sánchez‐Vizcaíno. (2016). Implementation and validation of an economic module in the Be-FAST model to predict costs generated by livestock disease epidemics: Application to classical swine fever epidemics in Spain. Preventive Veterinary Medicine. 126. 66–73. 10 indexed citations

12.

Ivorra, Benjamín, et al.. (2016). Stability and sensitivity analysis of Be-CoDiS, an epidemiological model to predict the spread of human diseases between countries. Validation with data from the 2014-16 West African Ebola Virus Disease epidemic.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2 indexed citations

13.

Ivorra, Benjamín, et al.. (2015). Be-CoDiS: A mathematical model to predict the risk of human \ndiseases spread between countries. Validation and application to the 2014-2015 Ebola Virus Disease epidemic. Library Open Repository (Universidad Complutense Madrid). 65 indexed citations

14.

Martínez‐López, Beatriz, Benjamín Ivorra, Eduardo Fernández‐Carrión, et al.. (2014). A multi-analysis approach for space–time and economic evaluation of risks related with livestock diseases: The example of FMD in Peru. Preventive Veterinary Medicine. 114(1). 47–63. 20 indexed citations

15.

Martínez‐López, Beatriz, Benjamín Ivorra, Ángel Ramos, et al.. (2013). Evaluation of the risk of classical swine fever (CSF) spread from backyard pigs to other domestic pigs by using the spatial stochastic disease spread model Be-FAST: The example of Bulgaria. Veterinary Microbiology. 165(1-2). 79–85. 21 indexed citations

16.

Gómez, Susana, Benjamín Ivorra, & Ángel Ramos. (2011). Optimization of a pumping ship trajectory to clean oil contamination in the open sea. Mathematical and Computer Modelling. 54(1-2). 477–489. 19 indexed citations

17.

Martínez‐López, Beatriz, et al.. (2011). A novel spatial and stochastic model to evaluate the within and between farm transmission of classical swine fever virus: II Validation of the model. Veterinary Microbiology. 155(1). 21–32. 17 indexed citations

18.

Martínez‐López, Beatriz, Benjamín Ivorra, Ángel Ramos, & José Manuel Sánchez‐Vizcaíno. (2010). A novel spatial and stochastic model to evaluate the within- and between-farm transmission of classical swine fever virus. I. General concepts and description of the model. Veterinary Microbiology. 147(3-4). 300–309. 42 indexed citations

19.

Glowinski, Roland, et al.. (2009). Modelling and simulation of a polluted water pumping process. Mathematical and Computer Modelling. 51(5-6). 461–472. 9 indexed citations

20.

Ivorra, Benjamín, Bijan Mohammadi, & Ángel Ramos. (2008). Optimizing initial guesses to improve global minimization. Library Open Repository (Universidad Complutense Madrid). 14(2). 278–81. 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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