Rafael Blanquero

705 total citations
35 papers, 488 citations indexed

About

Rafael Blanquero is a scholar working on Artificial Intelligence, Organizational Behavior and Human Resource Management and Statistics and Probability. According to data from OpenAlex, Rafael Blanquero has authored 35 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Organizational Behavior and Human Resource Management and 7 papers in Statistics and Probability. Recurrent topics in Rafael Blanquero's work include Facility Location and Emergency Management (8 papers), Machine Learning and Data Classification (6 papers) and Advanced Statistical Methods and Models (5 papers). Rafael Blanquero is often cited by papers focused on Facility Location and Emergency Management (8 papers), Machine Learning and Data Classification (6 papers) and Advanced Statistical Methods and Models (5 papers). Rafael Blanquero collaborates with scholars based in Spain, Denmark and United Kingdom. Rafael Blanquero's co-authors include Emilio Carrizosa, Pepa Ramírez‐Cobo, Dolores Romero Morales, Eduardo Conde, Boglárka G.-Tóth, Belén Martín-Barragán, Alexandre Alonso‐Fernández, Luís T. Antelo, Pierre Hansen and E.M.T. Hendrix and has published in prestigious journals such as European Journal of Operational Research, Industrial & Engineering Chemistry Research and Information Sciences.

In The Last Decade

Rafael Blanquero

35 papers receiving 472 citations

Peers

Rafael Blanquero
Boglárka G.-Tóth Hungary
Walid Ben‐Ameur France
T. B. Boffey United Kingdom
Banu Soylu Türkiye
Stuart Smith Canada
Carlo Filippi Italy
Douglas J. White United Kingdom
O. du Merle Switzerland
William B. Haskell United States
Sona Taheri Australia
Boglárka G.-Tóth Hungary
Rafael Blanquero
Citations per year, relative to Rafael Blanquero Rafael Blanquero (= 1×) peers Boglárka G.-Tóth

Countries citing papers authored by Rafael Blanquero

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Blanquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Blanquero

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Blanquero. A scholar is included among the top collaborators of Rafael Blanquero 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 Rafael Blanquero. Rafael Blanquero 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.
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
2.
Alonso‐Fernández, Alexandre, et al.. (2023). Re-identification of fish individuals of undulate skate via deep learning within a few-shot context. Ecological Informatics. 75. 102036–102036. 16 indexed citations
3.
Blanquero, Rafael, et al.. (2023). On optimal regression trees to detect critical intervals for multivariate functional data. Computers & Operations Research. 152. 106152–106152. 6 indexed citations
4.
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
5.
Blanquero, Rafael, et al.. (2020). Selection of time instants and intervals with Support Vector Regression for multivariate functional data. Computers & Operations Research. 123. 105050–105050. 7 indexed citations
6.
Blanquero, Rafael, et al.. (2019). Sparsity in optimal randomized classification trees. European Journal of Operational Research. 284(1). 255–272. 33 indexed citations
7.
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
8.
Blanquero, Rafael, et al.. (2018). Variable selection in classification for multivariate functional data. Information Sciences. 481. 445–462. 19 indexed citations
9.
Blanquero, Rafael, et al.. (2018). Cost-sensitive Feature Selection for Support Vector Machines. Computers & Operations Research. 106. 169–178. 38 indexed citations
10.
Blanquero, Rafael, et al.. (2016). p-facility Huff location problem on networks. European Journal of Operational Research. 255(1). 34–42. 6 indexed citations
11.
Blanquero, Rafael, et al.. (2016). Optimization models for degrouping population data. Population Studies. 70(2). 259–272. 5 indexed citations
12.
Blanquero, Rafael, Emilio Carrizosa, & Boglárka G.-Tóth. (2015). Maximal Covering Location Problems on networks with regional demand. Omega. 64. 77–85. 28 indexed citations
13.
Blanquero, Rafael & Emilio Carrizosa. (2013). Solving the median problem with continuous demand on a network. Computational Optimization and Applications. 56(3). 723–734. 5 indexed citations
14.
Blanquero, Rafael, et al.. (2012). A new parametric model for fitting fertility curves. Population Studies. 66(3). 297–310. 7 indexed citations
15.
Blanquero, Rafael, Emilio Carrizosa, Anita Schöbel, & Daniel Scholz. (2011). A global optimization procedure for the location of a median line in the three-dimensional space. European Journal of Operational Research. 215(1). 14–20. 3 indexed citations
16.
Blanquero, Rafael, et al.. (2010). On minimax-regret Huff location models. Computers & Operations Research. 38(1). 90–97. 11 indexed citations
17.
18.
Blanquero, Rafael, Emilio Carrizosa, & Eduardo Conde. (2001). Finding GM-estimators with global optimization techniques. Journal of Global Optimization. 21(3). 223–237. 2 indexed citations
19.
Blanquero, Rafael & Emilio Carrizosa. (2000). Optimization of the Norm of a Vector-Valued DC Function and Applications. Journal of Optimization Theory and Applications. 107(2). 245–260. 10 indexed citations
20.
Blanquero, Rafael & Emilio Carrizosa. (2000). On Covering Methods for D.C. Optimization. Journal of Global Optimization. 18(3). 265–274. 13 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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