A. Navia-Vázquez

1.3k total citations
39 papers, 774 citations indexed

About

A. Navia-Vázquez is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. Navia-Vázquez has authored 39 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. Navia-Vázquez's work include Blind Source Separation Techniques (14 papers), Neural Networks and Applications (14 papers) and Face and Expression Recognition (13 papers). A. Navia-Vázquez is often cited by papers focused on Blind Source Separation Techniques (14 papers), Neural Networks and Applications (14 papers) and Face and Expression Recognition (13 papers). A. Navia-Vázquez collaborates with scholars based in Spain, United States and Greece. A. Navia-Vázquez's co-authors include Anı́bal R. Figueiras-Vidal, Jerónimo Arenas‐García, Antonio Artés-Rodrı́guez, Fernando Pérez‐Cruz, Manel Martínez‐Ramón, Carlos Guerrero-Mosquera, Emilio Parrado-Hernández, Armando Malanda, F.J. González-Serrano and Inmaculada Mora-Jiménez and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and IEEE Transactions on Antennas and Propagation.

In The Last Decade

A. Navia-Vázquez

37 papers receiving 732 citations

Peers

A. Navia-Vázquez
K. Torkkola United States
Wei Xue China
Gernot Kubin Austria
Rhee Man Kil South Korea
Madhusudana Shashanka United States
GE Hinton Canada
K. Torkkola United States
A. Navia-Vázquez
Citations per year, relative to A. Navia-Vázquez A. Navia-Vázquez (= 1×) peers K. Torkkola

Countries citing papers authored by A. Navia-Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by A. Navia-Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Navia-Vázquez. 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 A. Navia-Vázquez. The network helps show where A. Navia-Vázquez may publish in the future.

Co-authorship network of co-authors of A. Navia-Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of A. Navia-Vázquez. A scholar is included among the top collaborators of A. Navia-Vázquez 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 A. Navia-Vázquez. A. Navia-Vázquez 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.
Jiménez, Víctor P. Gil & A. Navia-Vázquez. (2024). Uplink Non-Orthogonal Multiple Access (NOMA) Decoding Based on Successive Parzen Windows Interference Cancellation. IEEE Open Journal of Vehicular Technology. 6. 265–275.
2.
Navia-Vázquez, A., et al.. (2017). LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs. Knowledge-Based Systems. 136. 183–186. 3 indexed citations
3.
Navia-Vázquez, A., et al.. (2016). Efficient parallel implementation of kernel methods. Neurocomputing. 191. 175–186. 8 indexed citations
4.
Navia-Vázquez, A., et al.. (2014). Optimization of AMS using weighted AUC optimized models. Neural Information Processing Systems. 109–127.
5.
Navia-Vázquez, A. & Jerónimo Arenas‐García. (2011). Combination of Recursive Least $p$-Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise. IEEE Transactions on Signal Processing. 60(3). 1478–1482. 47 indexed citations
6.
Guerrero-Mosquera, Carlos, et al.. (2010). New feature extraction approach for epileptic EEG signal detection using time-frequency distributions. Medical & Biological Engineering & Computing. 48(4). 321–330. 63 indexed citations
7.
Navia-Vázquez, A., et al.. (2010). Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares. Signal Processing. 91(4). 1066–1070. 1 indexed citations
8.
Navia-Vázquez, A., et al.. (2009). Fast error estimation for efficient support vector machine growing. Neurocomputing. 73(4-6). 1018–1023. 3 indexed citations
9.
Martínez‐Ramón, Manel, A. Navia-Vázquez, Christos G. Christodoulou, & Anı́bal R. Figueiras-Vidal. (2007). Adaptive antenna array processing with kernels. 784–784. 1 indexed citations
10.
Navia-Vázquez, A. & Emilio Parrado-Hernández. (2006). Support vector machine interpretation. Neurocomputing. 69(13-15). 1754–1759. 27 indexed citations
11.
Arenas‐García, Jerónimo, Manel Martínez‐Ramón, A. Navia-Vázquez, & Anı́bal R. Figueiras-Vidal. (2005). Plant identification via adaptive combination of transversal filters. Signal Processing. 86(9). 2430–2438. 78 indexed citations
12.
Pérez‐Cruz, Fernando, A. Navia-Vázquez, Anı́bal R. Figueiras-Vidal, & Antonio Artés-Rodrı́guez. (2003). Empirical risk minimization for support vector classifiers. IEEE Transactions on Neural Networks. 14(2). 296–303. 39 indexed citations
13.
Parrado-Hernández, Emilio, Jerónimo Arenas‐García, Inmaculada Mora-Jiménez, & A. Navia-Vázquez. (2003). On problem-oriented kernel refining. Neurocomputing. 55(1-2). 135–150. 6 indexed citations
14.
Valverde-Albacete, Francisco J., et al.. (2003). InterMediActor. 36. 575–579. 9 indexed citations
15.
Gallardo-Antolín, Ascensión, Manolis Koubarakis, A. Navia-Vázquez, et al.. (2002). I-Gaia. 1272–1272. 5 indexed citations
16.
Mora-Jiménez, Inmaculada & A. Navia-Vázquez. (2002). A new spread spectrum watermarking method with self-synchronization capabilities. 1. 415–418. 4 indexed citations
17.
Navia-Vázquez, A., Fernando Pérez‐Cruz, Antonio Artés-Rodrı́guez, & Anı́bal R. Figueiras-Vidal. (2001). Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Transactions on Neural Networks. 12(5). 1047–1059. 56 indexed citations
18.
Pérez‐Cruz, Fernando, et al.. (2001). SVC-based equalizer for burst TDMA transmissions. Signal Processing. 81(8). 1681–1693. 29 indexed citations
19.
Marrow, Paul, Manolis Koubarakis, Francisco J. Valverde-Albacete, et al.. (2001). Agents in decentralised information ecosystems:the diet approach. Lancaster EPrints (Lancaster University). 13 indexed citations
20.
Pérez‐Cruz, Fernando, et al.. (2000). Fast Training of Support Vector Classifiers. neural information processing systems. 13. 734–740. 34 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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