Javier Vía

2.2k total citations
106 papers, 1.6k citations indexed

About

Javier Vía is a scholar working on Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Javier Vía has authored 106 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Signal Processing, 46 papers in Computer Networks and Communications and 36 papers in Electrical and Electronic Engineering. Recurrent topics in Javier Vía's work include Blind Source Separation Techniques (65 papers), Distributed Sensor Networks and Detection Algorithms (23 papers) and Advanced Wireless Communication Techniques (23 papers). Javier Vía is often cited by papers focused on Blind Source Separation Techniques (65 papers), Distributed Sensor Networks and Detection Algorithms (23 papers) and Advanced Wireless Communication Techniques (23 papers). Javier Vía collaborates with scholars based in Spain, United States and Germany. Javier Vía's co-authors include Ignacio Santamarı́a, David Ramírez, J. Pérez, Steven Van Vaerenbergh, Louis L. Scharf, Luis Vielva, Roberto López-Valcarce, Gonzalo Vazquez-Vilar, Daniel P. Palomar and V́ıctor Elvira and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Wireless Communications.

In The Last Decade

Javier Vía

104 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Javier Vía 738 492 470 376 320 106 1.6k
Peter J. Schreier 1.0k 1.4× 857 1.7× 460 1.0× 491 1.3× 338 1.1× 105 2.4k
Antonio Napolitano 914 1.2× 435 0.9× 369 0.8× 250 0.7× 349 1.1× 98 1.9k
Chad M. Spooner 730 1.0× 507 1.0× 616 1.3× 179 0.5× 420 1.3× 41 1.6k
E.F. Deprettere 898 1.2× 349 0.7× 230 0.5× 331 0.9× 216 0.7× 108 1.6k
Tamal Bose 369 0.5× 418 0.8× 372 0.8× 277 0.7× 256 0.8× 160 1.4k
Ali Pezeshki 645 0.9× 399 0.8× 219 0.5× 644 1.7× 516 1.6× 95 1.7k
Esa Ollila 872 1.2× 197 0.4× 111 0.2× 282 0.8× 456 1.4× 93 1.8k
Stephan Weiss 1.8k 2.4× 981 2.0× 286 0.6× 1.2k 3.3× 666 2.1× 261 3.1k
Ian K. Proudler 842 1.1× 369 0.8× 87 0.2× 668 1.8× 406 1.3× 124 1.6k
Dimitris A. Pados 705 1.0× 1.5k 3.1× 1.2k 2.5× 620 1.6× 285 0.9× 202 2.8k

Countries citing papers authored by Javier Vía

Since Specialization
Citations

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

Fields of papers citing papers by Javier Vía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Vía

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Vía. A scholar is included among the top collaborators of Javier Vía 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 Javier Vía. Javier Vía 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.
Pérez, J., Javier Vía, Luis Vielva, & David Ramírez. (2021). Online Detection and SNR Estimation in Cooperative Spectrum Sensing. IEEE Transactions on Wireless Communications. 21(4). 2521–2533. 10 indexed citations
2.
Vía, Javier. (2015). Time and power allocation for the Gaussian wiretap channel with feedback of secret keys. UCrea (University of Cantabria). 181–185. 1 indexed citations
3.
Vaerenbergh, Steven Van, Ó. González, Javier Vía, & Ignacio Santamarı́a. (2014). Physical layer authentication based on channel response tracking using Gaussian processes. UCrea (University of Cantabria). 2410–2414. 14 indexed citations
4.
Vaerenbergh, Steven Van, et al.. (2014). Kernel canonical correlation analysis for robust cooperative spectrum sensing in cognitive radio networks. Transactions on Emerging Telecommunications Technologies. 28(1). 7 indexed citations
5.
Weruaga, Luis & Javier Vía. (2014). Sparse Multivariate Gaussian Mixture Regression. IEEE Transactions on Neural Networks and Learning Systems. 26(5). 1098–1108. 7 indexed citations
6.
Romero, Daniel, Javier Vía, Roberto López-Valcarce, & Ignacio Santamarı́a. (2012). Detection of Gaussian signals in unknown time-varying channels. 1. 916–919. 1 indexed citations
7.
Vía, Javier, David Ramírez, & Ignacio Santamarı́a. (2010). Properness and Widely Linear Processing of Quaternion Random Vectors. IEEE Transactions on Information Theory. 56(7). 3502–3515. 115 indexed citations
8.
Ramírez, David, Javier Vía, Ignacio Santamarı́a, & Louis L. Scharf. (2010). Detection of Spatially Correlated Gaussian Time Series. IEEE Transactions on Signal Processing. 58(10). 5006–5015. 81 indexed citations
9.
Vía, Javier, Daniel P. Palomar, Luis Vielva, & Ignacio Santamarı́a. (2010). Quaternion ICA From Second-Order Statistics. IEEE Transactions on Signal Processing. 59(4). 1586–1600. 72 indexed citations
10.
Vía, Javier, Luis Vielva, Ignacio Santamarı́a, & Daniel P. Palomar. (2010). Independent component analysis of quaternion Gaussian vectors. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5 indexed citations
11.
Elvira, V́ıctor & Javier Vía. (2009). Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation. European Signal Processing Conference. 451–455. 1 indexed citations
12.
Vía, Javier, Ignacio Santamarı́a, & J. Pérez. (2009). Code Combination for Blind Channel Estimation in General MIMO-STBC Systems. EURASIP Journal on Advances in Signal Processing. 2009(1). 11 indexed citations
13.
Santamarı́a, Ignacio, V́ıctor Elvira, Javier Vía, et al.. (2008). Optimal MIMO transmission schemes with adaptive antenna combining in the RF path. European Signal Processing Conference. 1–5. 17 indexed citations
14.
Vaerenbergh, Steven Van, Javier Vía, & Ignacio Santamarı́a. (2008). Adaptive Kernel Canonical Correlation Analysis Algorithms for Nonparametric Identification of Wiener and Hammerstein Systems. EURASIP Journal on Advances in Signal Processing. 2008(1). 15 indexed citations
15.
Vía, Javier, et al.. (2008). Deterministic MIMO channel order estimation based on canonical correlation analysis. 18–22. 1 indexed citations
16.
Santamarı́a, Ignacio & Javier Vía. (2007). Estimation of the Magnitude Squared Coherence Spectrum Based on Reduced-Rank Canonical Coordinates. III–985. 24 indexed citations
17.
Vía, Javier, Ignacio Santamarı́a, & J. Pérez. (2006). Blind identification of MIMO-OSTBC channels combining second and higher order statistics. European Signal Processing Conference. 1–5. 7 indexed citations
18.
Vía, Javier, Ignacio Santamarı́a, & J. Pérez. (2006). A learning algorithm for adaptive canonical correlation analysis of several data sets. Neural Networks. 20(1). 139–152. 85 indexed citations
19.
Vía, Javier, et al.. (2006). Blind Decoding of MISO-OSTBC Systems Based on Principal Component Analysis. 4. IV–545. 10 indexed citations
20.
Vía, Javier, et al.. (2005). Robust array beamforming with sidelobe control using support vector machines. 10. 258–262. 11 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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