José A. González

1.3k total citations
48 papers, 866 citations indexed

About

José A. González is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, José A. González has authored 48 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 27 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in José A. González's work include Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (21 papers) and Music and Audio Processing (11 papers). José A. González is often cited by papers focused on Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (21 papers) and Music and Audio Processing (11 papers). José A. González collaborates with scholars based in Spain, United Kingdom and Australia. José A. González's co-authors include Antonio M. Peinado, Ángel M. Gómez, Alejandro Gomez-Alanis, Juan M. Martín-Doñas, C. Pérez, S. Velasco, Felipe Ruiz de Huidobro, V. Cañeque, M.T. Dı́az and C. Manzanares and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

José A. González

45 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José A. González Spain 14 446 367 184 124 93 48 866
Hugo Leonardo Rufiner Argentina 20 482 1.1× 244 0.7× 183 1.0× 41 0.3× 72 0.8× 79 1.2k
Ali Khadem Iran 19 63 0.1× 180 0.5× 109 0.6× 86 0.7× 55 0.6× 81 1.2k
Peter Ahrendt Denmark 15 180 0.4× 59 0.2× 123 0.7× 15 0.1× 76 0.8× 24 795
S. P. Dixit India 18 66 0.1× 27 0.1× 97 0.5× 280 2.3× 714 7.7× 79 1.1k
Jaakko Mononen Finland 14 24 0.1× 69 0.2× 410 2.2× 97 0.8× 234 2.5× 65 1.1k
Dionisis Cavouras Greece 10 25 0.1× 77 0.2× 57 0.3× 28 0.2× 27 0.3× 24 526
Zitong Yu China 20 98 0.2× 49 0.1× 4 0.0× 132 1.1× 40 0.4× 74 1.2k
Alfredo Teyseyre Argentina 7 20 0.0× 68 0.2× 103 0.6× 27 0.2× 59 0.6× 20 495
Stephen Birkett Canada 16 22 0.0× 9 0.0× 253 1.4× 32 0.3× 48 0.5× 38 599
Leandro D. Vignolo Argentina 9 105 0.2× 119 0.3× 14 0.1× 6 0.0× 5 0.1× 20 289

Countries citing papers authored by José A. González

Since Specialization
Citations

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

Fields of papers citing papers by José A. González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José A. González

This figure shows the co-authorship network connecting the top 25 collaborators of José A. González. A scholar is included among the top collaborators of José A. 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 José A. González. José A. 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.
González, José A., et al.. (2025). Neural representation of consciously seen and unseen information. Scientific Reports. 15(1). 7888–7888.
2.
Hernáez, Inma, José A. González, & Heidi Christensen. (2023). Special Issue on Applications of Speech and Language Technologies in Healthcare. Applied Sciences. 13(11). 6840–6840. 2 indexed citations
3.
Fernández‐García, Sara, Cristina Dumitrache, & José A. González. (2020). Acoustic analysis of the voice in patients with Parkinson's disease and hypokinetic dysarthria. Revista de Logopedia Foniatría y Audiología. 41(3). 142–150. 4 indexed citations
4.
Dashtimoghadam, Erfan, A. F. Johnson, Farahnaz Fahimipour, et al.. (2020). Vibrational and sonochemical characterization of ultrasonic endodontic activating devices for translation to clinical efficacy. Materials Science and Engineering C. 109. 110646–110646. 5 indexed citations
5.
Gomez-Alanis, Alejandro, Antonio M. Peinado, José A. González, & Ángel M. Gómez. (2019). A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection. 1068–1072. 64 indexed citations
6.
Arroyo‐Morales, Manuel, Mario Lozano‐Lozano, Antonio Cuesta‐Vargas, et al.. (2019). The Lysholm score: Cross cultural validation and evaluation of psychometric properties of the Spanish version. PLoS ONE. 14(8). e0221376–e0221376. 19 indexed citations
7.
Peinado, Antonio M., et al.. (2018). Dual-channel spectral weighting for robust speech recognition in mobile devices. Digital Signal Processing. 75. 13–24. 8 indexed citations
8.
9.
González, José A. & Phil Green. (2018). A real-time silent speech system for voice restoration after total laryngectomy. Revista de Logopedia Foniatría y Audiología. 38(4). 148–154. 4 indexed citations
10.
González, José A., Ángel M. Gómez, Phil Green, et al.. (2017). Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(12). 2362–2374. 48 indexed citations
11.
González, José A., Ángel M. Gómez, Antonio M. Peinado, Ning Ma, & Jon Barker. (2017). Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition. Circuits Systems and Signal Processing. 36(9). 3731–3760. 1 indexed citations
12.
González, José A., et al.. (2016). Implementation and Benefits of Environmental Management System (UNE- en ISO 14001:2004 Standard) In Shipping Company. Journal of maritime research. 13(1). 79–83–79–83. 1 indexed citations
13.
González, José A., et al.. (2016). Direct Speech Generation for a Silent Speech Interface based on Permanent Magnet Articulography. 96–105. 5 indexed citations
14.
González, José A., et al.. (2015). A User-centric Design of Permanent Magnetic Articulography based Assistive Speech Technology. 109–116. 3 indexed citations
15.
Ma, Ning, Guy J. Brown, & José A. González. (2015). Exploiting top-down source models to improve binaural localisation of multiple sources in reverberant environments. 160–164. 5 indexed citations
16.
Gómez, Ángel M., et al.. (2014). Feature enhancement for robust speech recognition on smartphones with dual-microphone. 21–25. 7 indexed citations
17.
González, José A., Antonio M. Peinado, Ning Ma, Ángel M. Gómez, & Jon Barker. (2012). MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 21(3). 624–635. 19 indexed citations
18.
González, José A., et al.. (2010). Efficient MMSE Estimation and Uncertainty Processing for Multienvironment Robust Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 19(5). 1206–1220. 7 indexed citations
19.
Laguna, Miguel Á., et al.. (2009). Mobile health monitoring and smart sensors. 1–8. 2 indexed citations
20.
Martínez‐Toledo, Maria Victoria, et al.. (1996). Production of pantothenic acid and thiamine by Azotobacter vinelandii in a chemically defined medium and a dialysed soil medium. Biology and Fertility of Soils. 22(1). 131–135. 2 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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