José Muñoz Pérez

1.3k total citations
48 papers, 840 citations indexed

About

José Muñoz Pérez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, José Muñoz Pérez has authored 48 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Statistics and Probability. Recurrent topics in José Muñoz Pérez's work include Neural Networks and Applications (18 papers), Statistical Distribution Estimation and Applications (5 papers) and Facility Location and Emergency Management (5 papers). José Muñoz Pérez is often cited by papers focused on Neural Networks and Applications (18 papers), Statistical Distribution Estimation and Applications (5 papers) and Facility Location and Emergency Management (5 papers). José Muñoz Pérez collaborates with scholars based in Spain, India and United States. José Muñoz Pérez's co-authors include César Hervás‐Martínez, Nicolás García‐Pedrajas, José Antonio Gómez‐Ruiz, José M. Jerez, Emilio Alba, José María Fernández Ponce, Gonzalo Ramos-Jiménez, Subhash C. Kochar, Ezequiel López‐Rubio and J. Rodríguez and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Neural Computation.

In The Last Decade

José Muñoz Pérez

42 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Muñoz Pérez Spain 14 394 118 107 79 63 48 840
H. Altay Güvenir Türkiye 17 576 1.5× 40 0.3× 165 1.5× 161 2.0× 64 1.0× 48 1.1k
Boris Kovalerchuk United States 13 343 0.9× 42 0.4× 133 1.2× 124 1.6× 43 0.7× 98 761
Jose G. Moreno-Torres Spain 6 717 1.8× 36 0.3× 156 1.5× 52 0.7× 54 0.9× 8 1.1k
Jozef Zurada United States 19 320 0.8× 36 0.3× 58 0.5× 116 1.5× 26 0.4× 74 1.1k
Jacek M. Zurada United States 12 564 1.4× 32 0.3× 147 1.4× 43 0.5× 65 1.0× 37 1.0k
R. Bharat Rao Germany 14 505 1.3× 26 0.2× 218 2.0× 35 0.4× 94 1.5× 36 882
Javier G. Castellano Spain 14 467 1.2× 32 0.3× 53 0.5× 110 1.4× 41 0.7× 25 776
Carlos J. Mantas Spain 14 513 1.3× 49 0.4× 67 0.6× 69 0.9× 26 0.4× 35 798
Pei-Yi Hao Taiwan 12 404 1.0× 96 0.8× 262 2.4× 132 1.7× 36 0.6× 30 793
Lidong Wang China 15 335 0.9× 36 0.3× 54 0.5× 220 2.8× 80 1.3× 88 995

Countries citing papers authored by José Muñoz Pérez

Since Specialization
Citations

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

Fields of papers citing papers by José Muñoz Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Muñoz Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of José Muñoz Pérez. A scholar is included among the top collaborators of José Muñoz Pérez 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 Muñoz Pérez. José Muñoz Pérez 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.
Pérez, José Muñoz, et al.. (2015). El sistema de educación superior musical en Andalucía: realidad y aspiraciones.. 94–110.
2.
Morales-Soriano, Rafael, et al.. (2015). Outcomes of an Enhanced Recovery After Surgery Programme for Pancreaticoduodenectomy. Cirugía Española (English Edition). 93(8). 509–515. 16 indexed citations
3.
Morales-Soriano, Rafael, et al.. (2015). Resultados de la rehabilitación multimodal en la duodenopancreatectomía cefálica. Cirugía Española. 93(8). 509–515. 23 indexed citations
4.
Pérez, José Muñoz. (2010). Inteligencia computacional inspirada en la vida. 4 indexed citations
5.
Espejo, S., et al.. (2009). Residual oxides detection and measurement in stainless steel production lines. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 76–79. 1 indexed citations
6.
Gómez‐Ruiz, José Antonio, José M. Jerez, José Muñoz Pérez, & Emilio Alba. (2004). A Neural Network Based Model for Prognosis of Early Breast Cancer. Applied Intelligence. 20(3). 231–238. 10 indexed citations
7.
López‐Rubio, Ezequiel, et al.. (2003). New learning rules for the ASSOM network. Neural Computing and Applications. 12(2). 109–118. 4 indexed citations
8.
Domínguez, Enrique, José Muñoz Pérez, & José M. Jerez. (2003). Neural Network Algorithms for the p-Median Problem. The European Symposium on Artificial Neural Networks. 385–392. 6 indexed citations
9.
López‐Rubio, Ezequiel, José Muñoz Pérez, & José Antonio Gómez‐Ruiz. (2003). A principal components analysis self-organizing map. Neural Networks. 17(2). 261–270. 22 indexed citations
10.
García‐Pedrajas, Nicolás, César Hervás‐Martínez, & José Muñoz Pérez. (2002). Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks. 15(10). 1259–1278. 79 indexed citations
11.
Pérez, José Muñoz, et al.. (2002). Expansive and Competitive Learning for Vector Quantization. Neural Processing Letters. 15(3). 261–273. 3 indexed citations
12.
Ortíz-Boyer, Domingo, César Hervás‐Martínez, & José Muñoz Pérez. (2001). Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods.. The European Symposium on Artificial Neural Networks. 193–198. 4 indexed citations
13.
Pérez, José Muñoz, et al.. (1999). Diseno de una Red Neuronal para la resolucion del Problema de los Cuatro Colores. INTELIGENCIA ARTIFICIAL. 3(8). 1 indexed citations
14.
Ponce, José María Fernández, et al.. (1996). Characterization of lifetime distributions based on a quantile dispersion measure. Computational Statistics & Data Analysis. 21(5). 547–561. 9 indexed citations
15.
Pérez, José Muñoz. (1990). Dispersive ordering by the spread function. Statistics & Probability Letters. 10(5). 407–410. 21 indexed citations
16.
Pérez, José Muñoz. (1987). Los catecismos políticos: de la Ilustración al primer Liberalismo español, 1808-1822. 191–218.
17.
Pérez, José Muñoz, et al.. (1987). Estimating the quantile function by Bernstein polynomials. Computational Statistics & Data Analysis. 5(4). 391–397. 20 indexed citations
18.
Pérez, José Muñoz. (1983). Los historiadores primitivos de Indias y el pensamiento geográfico. Dialnet (Universidad de la Rioja). 133–188.
19.
Pérez, José Muñoz. (1955). Los proyectos sobre España e Indias en el siglo XVIII: El proyectismo como género. Revista de Estudios Políticos. 169–196. 7 indexed citations
20.
Pérez, José Muñoz. (1954). Una descripción comparativa de las ciudades americanas en el siglo XVIII. Estudios Geográficos. 15(54). 89–129. 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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