Pablo González

621 total citations
27 papers, 421 citations indexed

About

Pablo González is a scholar working on Artificial Intelligence, Water Science and Technology and Oceanography. According to data from OpenAlex, Pablo González has authored 27 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Water Science and Technology and 3 papers in Oceanography. Recurrent topics in Pablo González's work include Machine Learning and Data Classification (5 papers), Text and Document Classification Technologies (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Pablo González is often cited by papers focused on Machine Learning and Data Classification (5 papers), Text and Document Classification Technologies (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Pablo González collaborates with scholars based in Spain, Italy and Argentina. Pablo González's co-authors include J. Ignacio García Alonso, Juan José del Coz, Jorge Díez, Horacio E. Zagarese, Nitesh V. Chawla, Fernando Pedrozo, Barbara Tartarotti, Ángel López‐Urrutia, Eva Rodriguez Alvarez and Emily E. Peacock and has published in prestigious journals such as Limnology and Oceanography, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Pablo González

24 papers receiving 397 citations

Peers

Pablo González
Efraim Halfon Canada
David E. Hines United States
Peter Lindroth Sweden
E. Halfon Germany
Eli K. Moore United States
Dmitry Pozdnyakov Russia
B. Sridevi India
Kjell Tjessem Norway
Efraim Halfon Canada
Pablo González
Citations per year, relative to Pablo González Pablo González (= 1×) peers Efraim Halfon

Countries citing papers authored by Pablo González

Since Specialization
Citations

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

Fields of papers citing papers by Pablo González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo González

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo González. A scholar is included among the top collaborators of Pablo González 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 Pablo González. Pablo González 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.
Moreo, Alejandro, Pablo González, & Juan José del Coz. (2025). Kernel density estimation for multiclass quantification. Machine Learning. 114(4). 5 indexed citations
2.
González, Pablo, et al.. (2025). Reuse of P3HT:PCBM-based organic solar cells as photodetectors: Extending lifetime in optoelectronic applications. Results in Engineering. 26. 105255–105255.
3.
González, Pablo, et al.. (2024). Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). ACM SIGKDD Explorations Newsletter. 25(2). 25–28. 1 indexed citations
4.
González, Pablo, Alejandro Moreo, & Fabrizio Sebastiani. (2024). Binary quantification and dataset shift: an experimental investigation. Data Mining and Knowledge Discovery. 38(4). 1670–1712. 3 indexed citations
5.
Moreo, Alejandro, et al.. (2024). Quantification using permutation-invariant networks based on histograms. Neural Computing and Applications. 37(5). 3505–3520. 1 indexed citations
6.
Alonso, Jaime, et al.. (2024). QuantificationLib: A Python library for quantification and prevalence estimation. SoftwareX. 26. 101728–101728. 1 indexed citations
7.
González, Pablo, José Ramón Quevedo, Elena Montañés, et al.. (2023). Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms. Journal of Animal Breeding and Genetics. 140(6). 638–652. 1 indexed citations
8.
Alonso, Jaime, et al.. (2023). An Equivalence Analysis of Binary Quantification Methods. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6944–6952. 5 indexed citations
9.
González, Pablo, et al.. (2023). Proceedings of the 3rd International Workshop on Learning to Quantify (LQ 2023). Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
10.
González, Pablo, et al.. (2022). Matching Distributions Algorithms Based on the Earth Mover’s Distance for Ordinal Quantification. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 1050–1061. 4 indexed citations
11.
González, Pablo, et al.. (2021). Deep Learning Based Classification of CP-OFDM RAT-Dependent Signals. 7. 1–6. 2 indexed citations
12.
Coz, Juan José del, Pablo González, Alejandro Moreo, & Fabrizio Sebastiani. (2021). Learning to Quantify: Methods and Applications (LQ 2021). 4874–4875. 2 indexed citations
13.
Río, Juan Pablo Del & Pablo González. (2019). Implementación del Programa Lotes con Servicios en el marco de Ley de Acceso Justo al Hábitat, provincia de Buenos Aires. Americanae (AECID Library). 37–59. 1 indexed citations
14.
Riera, Francisco A., Pablo González, & Claudia Muro. (2016). Whey cheese: membrane technology to increase yields. Journal of Dairy Research. 83(1). 96–103. 9 indexed citations
15.
González, Pablo, Jorge Díez, Nitesh V. Chawla, & Juan José del Coz. (2016). Why is quantification an interesting learning problem?. Progress in Artificial Intelligence. 6(1). 53–58. 18 indexed citations
16.
González, Pablo, Eva Rodriguez Alvarez, Jorge Díez, Ángel López‐Urrutia, & Juan José del Coz. (2016). Validation methods for plankton image classification systems. Limnology and Oceanography Methods. 15(3). 221–237. 39 indexed citations
17.
González, Pablo, et al.. (2013). Liver Segmentation on CT Images. A Fast Computational Method Based on 3D Morphology and a Statistical Filter. 483–490. 2 indexed citations
18.
González, Pablo, Eva Rodriguez Alvarez, José Barranquero Tolosa, et al.. (2013). Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation. IEEE Transactions on Neural Networks and Learning Systems. 24(11). 1901–1905. 17 indexed citations
19.
Tolosa, José Barranquero, Pablo González, Jorge Díez, & Juan José del Coz Díaz. (2012). On the study of nearest neighbor algorithms for prevalence estimation in binary problems. Pattern Recognition. 46(2). 472–482. 25 indexed citations
20.

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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