Beatriz Pateiro‐López

527 total citations
24 papers, 331 citations indexed

About

Beatriz Pateiro‐López is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Beatriz Pateiro‐López has authored 24 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 9 papers in Applied Mathematics. Recurrent topics in Beatriz Pateiro‐López's work include Statistical Methods and Inference (11 papers), Point processes and geometric inequalities (8 papers) and Advanced Statistical Methods and Models (6 papers). Beatriz Pateiro‐López is often cited by papers focused on Statistical Methods and Inference (11 papers), Point processes and geometric inequalities (8 papers) and Advanced Statistical Methods and Models (6 papers). Beatriz Pateiro‐López collaborates with scholars based in Spain, Argentina and Uruguay. Beatriz Pateiro‐López's co-authors include Alberto Rodríguez‐Casal, Ricardo Fraiman, Antonio Cuevas, Juan C. Pichel, José R. Berrendero, César Capinha, Antonio Possolo, Wenceslao González–Manteiga, Joy P. Dunkers and Gábor Lugosi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Access.

In The Last Decade

Beatriz Pateiro‐López

23 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Pateiro‐López Spain 11 84 69 66 55 53 24 331
Alberto Rodríguez‐Casal Spain 13 207 2.5× 71 1.0× 172 2.6× 77 1.4× 79 1.5× 30 649
Wolfgang Bischoff Germany 13 162 1.9× 67 1.0× 33 0.5× 89 1.6× 24 0.5× 60 535
Gopalan Nair Australia 15 113 1.3× 76 1.1× 62 0.9× 72 1.3× 275 5.2× 38 724
David Birkes United States 13 214 2.5× 98 1.4× 58 0.9× 64 1.2× 26 0.5× 32 761
H. W. Lotwick United Kingdom 6 50 0.6× 166 2.4× 39 0.6× 54 1.0× 55 1.0× 7 410
Émilie Lebarbier France 10 99 1.2× 41 0.6× 65 1.0× 73 1.3× 13 0.2× 17 412
J. D. Howroyd United Kingdom 7 21 0.3× 219 3.2× 34 0.5× 67 1.2× 108 2.0× 8 703
Bernard D. Flury United States 13 240 2.9× 20 0.3× 218 3.3× 36 0.7× 28 0.5× 29 663
Rua Murray New Zealand 13 16 0.2× 75 1.1× 9 0.1× 50 0.9× 22 0.4× 43 408
Gerard Austin United Kingdom 2 94 1.1× 36 0.5× 41 0.6× 46 0.8× 5 0.1× 5 431

Countries citing papers authored by Beatriz Pateiro‐López

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Pateiro‐López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz Pateiro‐López. 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 Beatriz Pateiro‐López. The network helps show where Beatriz Pateiro‐López may publish in the future.

Co-authorship network of co-authors of Beatriz Pateiro‐López

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Pateiro‐López. A scholar is included among the top collaborators of Beatriz Pateiro‐López 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 Beatriz Pateiro‐López. Beatriz Pateiro‐López 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.
Ghaddar, Bissan, et al.. (2025). Learning in Reformulation-Linearization Technique-Based Spatial Branching: Limitations of Strong Branching Imitation. INFORMS journal on computing. 1 indexed citations
2.
3.
Ghaddar, Bissan, et al.. (2023). Learning for Spatial Branching: An Algorithm Selection Approach. INFORMS journal on computing. 35(5). 1024–1043. 7 indexed citations
4.
Pichel, Juan C. & Beatriz Pateiro‐López. (2019). Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks. IEEE Access. 7. 82377–82389. 12 indexed citations
5.
Pichel, Juan C. & Beatriz Pateiro‐López. (2018). A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques. Repositorio institucional da Universidade de Santiago de Compostela (University of Santiago de Compostela). 1. 46–54. 11 indexed citations
6.
Fraiman, Ricardo, et al.. (2016). Set Estimation from Reflected Brownian Motion. Journal of the Royal Statistical Society Series B (Statistical Methodology). 78(5). 1057–1078. 10 indexed citations
7.
Berrendero, José R., Antonio Cuevas, & Beatriz Pateiro‐López. (2015). Shape classification based on interpoint distance distributions. Journal of Multivariate Analysis. 146. 237–247. 9 indexed citations
8.
Cuevas, Antonio, et al.. (2014). On the estimation of the medial axis and inner parallel body. Journal of Multivariate Analysis. 129. 171–185. 1 indexed citations
9.
Capinha, César & Beatriz Pateiro‐López. (2014). Predicting species distributions in new areas or time periods with alpha-shapes. Ecological Informatics. 24. 231–237. 14 indexed citations
10.
Cuevas, Antonio, Ricardo Fraiman, & Beatriz Pateiro‐López. (2012). On Statistical Properties of Sets Fulfilling Rolling-Type Conditions. Advances in Applied Probability. 44(2). 311–329. 17 indexed citations
11.
Cuevas, Antonio, Ricardo Fraiman, & Beatriz Pateiro‐López. (2012). On Statistical Properties of Sets Fulfilling Rolling-Type Conditions. Advances in Applied Probability. 44(2). 311–329. 9 indexed citations
12.
Fraiman, Ricardo & Beatriz Pateiro‐López. (2012). Quantiles for finite and infinite dimensional data. Journal of Multivariate Analysis. 108. 1–14. 18 indexed citations
13.
Pateiro‐López, Beatriz & Alberto Rodríguez‐Casal. (2012). Recovering the shape of a point cloud in the plane. Test. 22(1). 19–45. 7 indexed citations
14.
Berrendero, José R., Antonio Cuevas, & Beatriz Pateiro‐López. (2011). A multivariate uniformity test for the case of unknown support. Statistics and Computing. 22(1). 259–271. 9 indexed citations
15.
Pateiro‐López, Beatriz & Alberto Rodríguez‐Casal. (2010). Generalizing the Convex Hull of a Sample: TheRPackagealphahull. Journal of Statistical Software. 34(5). 123 indexed citations
16.
Pateiro‐López, Beatriz, et al.. (2009). Generalizing the Convex Hull of a Sample: The R Package alphahull. SHILAP Revista de lepidopterología. 20 indexed citations
17.
Pateiro‐López, Beatriz & Alberto Rodríguez‐Casal. (2009). Surface area estimation under convexity type assumptions. Journal of nonparametric statistics. 21(6). 729–741. 6 indexed citations
18.
Pateiro‐López, Beatriz & Alberto Rodríguez‐Casal. (2008). Length and surface area estimation under smoothness restrictions. Advances in Applied Probability. 40(2). 348–358. 3 indexed citations
19.
Pateiro‐López, Beatriz & Alberto Rodríguez‐Casal. (2008). Length and surface area estimation under smoothness restrictions. Advances in Applied Probability. 40(2). 348–358. 11 indexed citations
20.
Pateiro‐López, Beatriz & Wenceslao González–Manteiga. (2006). Multivariate partially linear models. Statistics & Probability Letters. 76(14). 1543–1549. 10 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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