Belén Martín-Barragán

719 total citations · 1 hit paper
25 papers, 497 citations indexed

About

Belén Martín-Barragán is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Belén Martín-Barragán has authored 25 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. Recurrent topics in Belén Martín-Barragán's work include Machine Learning and Data Classification (6 papers), Face and Expression Recognition (6 papers) and Imbalanced Data Classification Techniques (5 papers). Belén Martín-Barragán is often cited by papers focused on Machine Learning and Data Classification (6 papers), Face and Expression Recognition (6 papers) and Imbalanced Data Classification Techniques (5 papers). Belén Martín-Barragán collaborates with scholars based in United Kingdom, Spain and China. Belén Martín-Barragán's co-authors include Emilio Carrizosa, Dolores Romero Morales, Helena Veiga, Raffaella Calabrese, Sofía B. Ramos, Juan Romo, Rosa E. Lillo, Roberto Rossi, Rafael Blanquero and Galina Andreeva and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and International Journal of Production Research.

In The Last Decade

Belén Martín-Barragán

23 papers receiving 480 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interpretable machine learning for imbalanced credit scoring datasets

2023 74 citations Raffaella Calabrese, Belén Martín-Barragán et al. European Journal of Operational Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Belén Martín-Barragán United Kingdom	14	187	112	61	58	50	25	497
Zebin Yang United States	8	154 0.8×	106 0.9×	19 0.3×	128 2.2×	18 0.4×	13	443
Afif Masmoudi Tunisia	12	221 1.2×	68 0.6×	75 1.2×	46 0.8×	115 2.3×	88	538
Amin Karami United Kingdom	12	281 1.5×	67 0.6×	63 1.0×	184 3.2×	11 0.2×	26	753
Shian-Chang Huang Taiwan	15	188 1.0×	191 1.7×	22 0.4×	184 3.2×	12 0.2×	42	614
Hennie Daniels Netherlands	10	269 1.4×	54 0.5×	23 0.4×	125 2.2×	41 0.8×	46	542
Francesca Perla Italy	9	315 1.7×	67 0.6×	61 1.0×	78 1.3×	7 0.1×	23	601
Brahim Ouhbi Morocco	16	299 1.6×	31 0.3×	28 0.5×	170 2.9×	98 2.0×	75	704
Pepa Ramírez‐Cobo Spain	13	119 0.6×	30 0.3×	50 0.8×	86 1.5×	60 1.2×	33	389
Krzysztof Jajuga Poland	9	166 0.9×	53 0.5×	84 1.4×	67 1.2×	61 1.2×	52	359

Countries citing papers authored by Belén Martín-Barragán

Since Specialization

Citations

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

Fields of papers citing papers by Belén Martín-Barragán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Belén Martín-Barragán. 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 Belén Martín-Barragán. The network helps show where Belén Martín-Barragán may publish in the future.

Co-authorship network of co-authors of Belén Martín-Barragán

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Calabrese, Raffaella, et al.. (2024). JointLIME: An interpretation method for machine learning survival models with endogenous time‐varying covariates in credit scoring. Risk Analysis. 45(12). 4135–4156.

Andreeva, Galina, et al.. (2023). Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants. International Review of Financial Analysis. 90. 102914–102914. 31 indexed citations

Calabrese, Raffaella, et al.. (2023). Interpretable machine learning for imbalanced credit scoring datasets. European Journal of Operational Research. 312(1). 357–372. 74 indexed citations breakdown →

Rossi, Roberto, et al.. (2022). Routing decisions of a hybrid vehicle on electric road networks. IFAC-PapersOnLine. 55(10). 227–232. 2 indexed citations

Rossi, Roberto, et al.. (2022). A mathematical programming-based solution method for the nonstationary inventory problem under correlated demand. European Journal of Operational Research. 304(2). 515–524. 3 indexed citations

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

Liu, Ling, Belén Martín-Barragán, & Francisco J. Prieto. (2021). A projection multi-objective SVM method for multi-class classification. Computers & Industrial Engineering. 158. 107425–107425. 17 indexed citations

Ansell, Jake, et al.. (2021). Modeling Antimicrobial Prescriptions in Scotland: A Spatiotemporal Clustering Approach. Risk Analysis. 42(4). 830–853.

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

10.

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

11.

Blanquero, Rafael, et al.. (2018). Variable selection in classification for multivariate functional data. Information Sciences. 481. 445–462. 19 indexed citations

12.

Rossi, Roberto, et al.. (2018). Computing non-stationary (s, S) policies using mixed integer linear programming. European Journal of Operational Research. 271(2). 490–500. 17 indexed citations

13.

Rossi, Roberto, et al.. (2016). A simple heuristic for perishable item inventory control under non-stationary stochastic demand. International Journal of Production Research. 55(7). 1885–1897. 28 indexed citations

14.

Martín-Barragán, Belén, Sofía B. Ramos, & Helena Veiga. (2015). Correlations between oil and stock markets: A wavelet-based approach. Economic Modelling. 50. 212–227. 76 indexed citations

15.

Carrizosa, Emilio, Belén Martín-Barragán, & Dolores Romero Morales. (2013). A nested heuristic for parameter tuning in Support Vector Machines. Computers & Operations Research. 43. 328–334. 27 indexed citations

16.

Martín-Barragán, Belén, Rosa E. Lillo, & Juan Romo. (2012). Interpretable support vector machines for functional data. European Journal of Operational Research. 232(1). 146–155. 49 indexed citations

17.

Carrizosa, Emilio, Belén Martín-Barragán, & Dolores Romero Morales. (2010). Detecting relevant variables and interactions in supervised classification. European Journal of Operational Research. 213(1). 260–269. 28 indexed citations

18.

Carrizosa, Emilio, Belén Martín-Barragán, & Dolores Romero Morales. (2009). Binarized Support Vector Machines. INFORMS journal on computing. 22(1). 154–167. 27 indexed citations

19.

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

20.

Carrizosa, Emilio & Belén Martín-Barragán. (2005). Two-group classification via a biobjective margin maximization model. European Journal of Operational Research. 173(3). 746–761. 12 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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