Emilio Carrizosa

3.2k total citations
167 papers, 2.2k citations indexed

About

Emilio Carrizosa is a scholar working on Artificial Intelligence, Organizational Behavior and Human Resource Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Emilio Carrizosa has authored 167 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 44 papers in Organizational Behavior and Human Resource Management and 31 papers in Industrial and Manufacturing Engineering. Recurrent topics in Emilio Carrizosa's work include Facility Location and Emergency Management (44 papers), Vehicle Routing Optimization Methods (29 papers) and Optimization and Variational Analysis (18 papers). Emilio Carrizosa is often cited by papers focused on Facility Location and Emergency Management (44 papers), Vehicle Routing Optimization Methods (29 papers) and Optimization and Variational Analysis (18 papers). Emilio Carrizosa collaborates with scholars based in Spain, Denmark and Belgium. Emilio Carrizosa's co-authors include Dolores Romero Morales, Rafael Blanquero, Frank Plastria, Eduardo Conde, Justo Puerto, Pepa Ramírez‐Cobo, Belén Martín-Barragán, Enrique Fernández‐Cara, Nenad Mladenović and F.R. Fernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and Applied Energy.

In The Last Decade

Emilio Carrizosa

164 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emilio Carrizosa Spain 27 733 507 400 321 308 167 2.2k
Kathrin Klamroth Germany 26 343 0.5× 347 0.7× 616 1.5× 681 2.1× 445 1.4× 93 2.2k
Frank Plastria Belgium 24 321 0.4× 1.2k 2.3× 948 2.4× 566 1.8× 284 0.9× 123 3.4k
Brigitte Jaumard Canada 31 753 1.0× 249 0.5× 695 1.7× 1.0k 3.3× 520 1.7× 350 4.4k
Nezam Mahdavi‐Amiri Iran 29 315 0.4× 181 0.4× 537 1.3× 492 1.5× 822 2.7× 181 2.6k
Dingwei Wang China 28 562 0.8× 211 0.4× 823 2.1× 304 0.9× 565 1.8× 204 2.7k
Michel Minoux France 24 356 0.5× 176 0.3× 1.1k 2.7× 848 2.6× 456 1.5× 105 3.0k
Oleg A. Prokopyev United States 25 253 0.3× 170 0.3× 261 0.7× 441 1.4× 240 0.8× 127 2.0k
M. R. Rao United States 27 217 0.3× 324 0.6× 901 2.3× 689 2.1× 259 0.8× 69 2.2k
Jack Brimberg Canada 30 335 0.5× 1.4k 2.7× 1.5k 3.7× 218 0.7× 227 0.7× 148 2.7k
Yu‐Jun Zheng China 30 1.2k 1.6× 281 0.6× 545 1.4× 425 1.3× 140 0.5× 112 3.1k

Countries citing papers authored by Emilio Carrizosa

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Carrizosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Carrizosa

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Carrizosa. A scholar is included among the top collaborators of Emilio Carrizosa 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 Emilio Carrizosa. Emilio Carrizosa 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.
Carrizosa, Emilio, et al.. (2025). Wasserstein support vector machine: Support vector machines made fair. European Journal of Operational Research. 329(2). 641–652.
2.
Carrizosa, Emilio, et al.. (2023). Generating collective counterfactual explanations in score-based classification via mathematical optimization. Expert Systems with Applications. 238. 121954–121954. 11 indexed citations
3.
Blanquero, Rafael, et al.. (2023). Solving the 1-median problem on a network with continuous demand and demand surplus. Computers & Operations Research. 160. 106399–106399. 1 indexed citations
4.
Carrizosa, Emilio, et al.. (2022). The tree based linear regression model for hierarchical categorical variables. Expert Systems with Applications. 203. 117423–117423. 22 indexed citations
5.
Carrizosa, Emilio, et al.. (2021). On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19. European Journal of Operational Research. 295(2). 648–663. 18 indexed citations
6.
Blanquero, Rafael, et al.. (2021). Constrained Naïve Bayes with application to unbalanced data classification. Central European Journal of Operations Research. 30(4). 1403–1425. 4 indexed citations
7.
Carrizosa, Emilio, et al.. (2020). Integer constraints for enhancing interpretability in linear regression. QRU Quaderns de Recerca en Urbanisme. 44(1). 69–78. 4 indexed citations
8.
Carrizosa, Emilio, et al.. (2019). Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization. Multivariate Behavioral Research. 55(5). 748–762. 11 indexed citations
9.
Blanquero, Rafael, et al.. (2018). Functional-bandwidth kernel for Support Vector Machine with Functional Data: An alternating optimization algorithm. European Journal of Operational Research. 275(1). 195–207. 15 indexed citations
10.
Carrizosa, Emilio, et al.. (2018). On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization. Big Data. 6(2). 139–158. 2 indexed citations
11.
Blanquero, Rafael, et al.. (2018). Variable selection in classification for multivariate functional data. Information Sciences. 481. 445–462. 19 indexed citations
12.
Blanquero, Rafael, et al.. (2016). p-facility Huff location problem on networks. European Journal of Operational Research. 255(1). 34–42. 6 indexed citations
13.
Carrizosa, Emilio, et al.. (2013). Solving multifacility Huff location models on networks. 1–6. 1 indexed citations
14.
Carrizosa, Emilio, et al.. (2011). Degeneracy of Harmonic Means Clustering. Les Cahiers du GERAD. 1–20. 1 indexed citations
15.
Carrizosa, Emilio, et al.. (2009). Minimum-regret Huff location models. 161. 1 indexed citations
16.
Carrizosa, Emilio, Belén Martín-Barragán, & Dolores Romero Morales. (2007). Multi-group support vector machines with measurement costs: A biobjective approach. Discrete Applied Mathematics. 156(6). 950–966. 18 indexed citations
17.
Carrizosa, Emilio. (2005). Algunas aportaciones de la investigación operativa a los problemas de localización. GeoFocus Revista Internacional de Ciencia y Tecnología de la Información Geográfica. 268–277.
18.
Audet, Charles, Pierre Hansen, & Emilio Carrizosa. (2000). An Exact Method for Fractional Goal Programming. PolyPublie (École Polytechnique de Montréal). 1–10. 1 indexed citations
19.
Carrizosa, Emilio, et al.. (1998). Location and shape of a rectangular facility in R n : convexity properties. Mathematical Programming. 83(2). 277–290. 13 indexed citations
20.
Carrizosa, Emilio. (1994). AN AXIOMATIC APPROACH TO THE CENT-DIAN CRITERION /. Computers & Operations Research. 9 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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