Adolfo Martínez-Usó

1.5k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Adolfo Martínez-Usó is a scholar working on Media Technology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adolfo Martínez-Usó has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adolfo Martínez-Usó's work include Remote-Sensing Image Classification (6 papers), Machine Learning and Data Classification (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Adolfo Martínez-Usó is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Machine Learning and Data Classification (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Adolfo Martínez-Usó collaborates with scholars based in Spain, France and Brazil. Adolfo Martínez-Usó's co-authors include Filiberto Pla, José Martínez Sotoca, Pedro Garcı́a-Sevilla, Raúl Montoliu, Joaquín Torres-Sospedra, Mauri Benedito-Bordonau, Joaquı́n Huerta, José Hernández‐Orallo, Ricardo B. C. Prudêncio and Fernando Martínez‐Plumed and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Geoscience and Remote Sensing and Artificial Intelligence.

In The Last Decade

Adolfo Martínez-Usó

16 papers receiving 974 citations

Hit Papers

UJIIndoorLoc: A new multi... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adolfo Martínez-Usó Spain 8 457 361 271 237 184 17 1.0k
Francisco Argüello Spain 16 437 1.0× 110 0.3× 248 0.9× 285 1.2× 117 0.6× 80 858
Song Xiao China 18 510 1.1× 151 0.4× 121 0.4× 385 1.6× 68 0.4× 106 1.1k
Carlos González Spain 15 379 0.8× 142 0.4× 194 0.7× 304 1.3× 26 0.1× 39 741
Daniel Mozos Spain 17 370 0.8× 189 0.5× 191 0.7× 294 1.2× 24 0.1× 66 951
Hongwei Yang China 12 238 0.5× 70 0.2× 153 0.6× 134 0.6× 27 0.1× 60 816
Eric W. Tramel United States 13 319 0.7× 59 0.2× 170 0.6× 452 1.9× 77 0.4× 23 830
Yulong Wang China 14 572 1.3× 50 0.1× 183 0.7× 608 2.6× 86 0.5× 40 1.1k
Yves Delignon France 11 144 0.3× 89 0.2× 38 0.1× 151 0.6× 57 0.3× 33 575
Donggyu Sim South Korea 17 166 0.4× 69 0.2× 62 0.2× 924 3.9× 438 2.4× 130 1.2k
Wen-Sheng Chen China 19 213 0.5× 73 0.2× 47 0.2× 881 3.7× 131 0.7× 88 1.2k

Countries citing papers authored by Adolfo Martínez-Usó

Since Specialization
Citations

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

Fields of papers citing papers by Adolfo Martínez-Usó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adolfo Martínez-Usó. 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 Adolfo Martínez-Usó. The network helps show where Adolfo Martínez-Usó may publish in the future.

Co-authorship network of co-authors of Adolfo Martínez-Usó

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

All Works

17 of 17 papers shown
1.
Martínez‐Plumed, Fernando, Ricardo B. C. Prudêncio, Adolfo Martínez-Usó, & José Hernández‐Orallo. (2019). Item response theory in AI: Analysing machine learning classifiers at the instance level. Artificial Intelligence. 271. 18–42. 46 indexed citations
2.
Javidi, Bahram, Xin Shen, Adam Markman, et al.. (2017). Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales. Proceedings of the IEEE. 105(5). 850–875. 28 indexed citations
3.
Hernández‐Orallo, José, Adolfo Martínez-Usó, Ricardo B. C. Prudêncio, et al.. (2016). Reframing in context: A systematic approach for model reuse in machine learning. AI Communications. 29(5). 551–566. 7 indexed citations
4.
Martínez-Usó, Adolfo, P. Carmona, José Martínez Sotoca, Filiberto Pla, & Bahram Javidi. (2016). Depth estimation in Integral Imaging based on a maximum voting strategy. Journal of Display Technology. 1–1. 13 indexed citations
5.
Montoliu, Raúl, et al.. (2015). Team activity recognition in Association Football using a Bag-of-Words-based method. Human Movement Science. 41. 165–178. 23 indexed citations
6.
Kull, Meelis, Nicolas Lachiche, & Adolfo Martínez-Usó. (2015). MoReBikeS: model reuse with bike rental station data. 1–4. 2 indexed citations
7.
Hernández‐Orallo, José, Cèsar Ferri, Nicolas Lachiche, Adolfo Martínez-Usó, & Marïa José Ramírez-Quintana. (2015). Binarised regression tasks: methods and evaluation metrics. Data Mining and Knowledge Discovery. 30(4). 848–890. 5 indexed citations
8.
Torres-Sospedra, Joaquín, et al.. (2014). UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 261–270. 400 indexed citations breakdown →
9.
Martínez-Usó, Adolfo, Filiberto Pla, & José Martínez Sotoca. (2014). Modelling contextual constraints in probabilistic relaxation for multi-class semi-supervised learning. Knowledge-Based Systems. 66. 82–91. 6 indexed citations
10.
Martínez-Usó, Adolfo & Pedro Garcı́a-Sevilla. (2012). Concurso de proyectos en la asignatura “Percepción Visual” del máster en sistemas inteligentes. UPCommons institutional repository (Universitat Politècnica de Catalunya).
11.
Carmona, P., Adolfo Martínez-Usó, José Martínez Sotoca, Filiberto Pla, & Pedro Garcı́a-Sevilla. (2011). Band selection in spectral imaging for classification and regression tasks using information theoretic measures. 45. 1–3. 3 indexed citations
12.
Martínez-Usó, Adolfo, Filiberto Pla, & Pedro Garcı́a-Sevilla. (2011). Unsupervised colour image segmentation by low-level perceptual grouping. Pattern Analysis and Applications. 16(4). 581–594. 7 indexed citations
13.
Martínez-Usó, Adolfo, Filiberto Pla, & José Martínez Sotoca. (2010). A Semi-supervised Gaussian Mixture Model for Image Segmentation. 2941–2944. 16 indexed citations
14.
Martínez-Usó, Adolfo, Filiberto Pla, José Martínez Sotoca, & Pedro Garcı́a-Sevilla. (2007). Clustering-Based Hyperspectral Band Selection Using Information Measures. IEEE Transactions on Geoscience and Remote Sensing. 45(12). 4158–4171. 425 indexed citations
15.
Martínez-Usó, Adolfo, Filiberto Pla, José Martínez Sotoca, & Pedro Garcı́a-Sevilla. (2006). Clustering-based multispectral band selection using mutual information. 760–763. 23 indexed citations
16.
Martínez-Usó, Adolfo, Filiberto Pla, & Pedro Garcı́a-Sevilla. (2005). Multispectral Image Segmentation for Fruit Quality Estimation. 51–58. 2 indexed citations
17.
Martínez-Usó, Adolfo, Filiberto Pla, & Pedro Garcı́a-Sevilla. (2004). A novel energy minimization criterion for color image segmentation. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 206–209 Vol.3. 1 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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