P. Vera‐Candeas

995 total citations
80 papers, 679 citations indexed

About

P. Vera‐Candeas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, P. Vera‐Candeas has authored 80 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Signal Processing, 28 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Mechanics. Recurrent topics in P. Vera‐Candeas's work include Speech and Audio Processing (61 papers), Music and Audio Processing (47 papers) and Music Technology and Sound Studies (19 papers). P. Vera‐Candeas is often cited by papers focused on Speech and Audio Processing (61 papers), Music and Audio Processing (47 papers) and Music Technology and Sound Studies (19 papers). P. Vera‐Candeas collaborates with scholars based in Spain, Finland and Denmark. P. Vera‐Candeas's co-authors include N. Ruiz-Reyes, F.J. Cañadas-Quesada, Julio J. Carabias-Orti, Sebastián García Galán, Manuel Rosa-Zurera, Tuomas Virtanen, J. E. Muñoz Expósito, F. López-Ferreras, Joonas Nikunen and Jose‐Luis Blanco and has published in prestigious journals such as Construction and Building Materials, IEEE Transactions on Power Delivery and Electronics Letters.

In The Last Decade

P. Vera‐Candeas

73 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Vera‐Candeas Spain 16 457 199 113 101 75 80 679
Kenichi Arakawa Japan 11 210 0.5× 572 2.9× 50 0.4× 27 0.3× 54 0.7× 39 721
Yohei Kawaguchi Japan 13 463 1.0× 93 0.5× 96 0.8× 14 0.1× 58 0.8× 60 730
Hamid Sheikhzadeh Iran 14 506 1.1× 164 0.8× 289 2.6× 96 1.0× 4 0.1× 84 868
Jianfeng Chen China 14 126 0.3× 54 0.3× 43 0.4× 13 0.1× 60 0.8× 57 741
Sadiq Ali Pakistan 13 229 0.5× 80 0.4× 32 0.3× 27 0.3× 6 0.1× 52 466
Mahmood Karimi Iran 12 162 0.4× 63 0.3× 47 0.4× 16 0.2× 6 0.1× 70 622
Yuma Koizumi Japan 19 705 1.5× 142 0.7× 152 1.3× 11 0.1× 14 0.2× 61 994
Feng Tong China 19 238 0.5× 51 0.3× 210 1.9× 14 0.1× 14 0.2× 106 896
Yili Ren United States 12 115 0.3× 131 0.7× 13 0.1× 83 0.8× 11 0.1× 33 652
A. Jain United States 11 888 1.9× 1.1k 5.8× 45 0.4× 44 0.4× 4 0.1× 33 1.4k

Countries citing papers authored by P. Vera‐Candeas

Since Specialization
Citations

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

Fields of papers citing papers by P. Vera‐Candeas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Vera‐Candeas. 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 P. Vera‐Candeas. The network helps show where P. Vera‐Candeas may publish in the future.

Co-authorship network of co-authors of P. Vera‐Candeas

This figure shows the co-authorship network connecting the top 25 collaborators of P. Vera‐Candeas. A scholar is included among the top collaborators of P. Vera‐Candeas 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 P. Vera‐Candeas. P. Vera‐Candeas 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.
Garcı́a-Martı́nez, Jesús, et al.. (2025). SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation. IEEE Open Journal of Signal Processing. 6. 129–137.
2.
Pezzoli, Mirco, Julio J. Carabias-Orti, P. Vera‐Candeas, Fabio Antonacci, & Augusto Sarti. (2024). Spherical-harmonics-based sound field decomposition and multichannel NMF for sound source separation. Applied Acoustics. 218. 109888–109888. 6 indexed citations
3.
Galán, Sebastián García, et al.. (2024). Expert system against machine learning approaches as a virtual sensor for ventricular arrhythmia risk level estimation. Biomedical Signal Processing and Control. 102. 107255–107255.
4.
Cañadas-Quesada, F.J., N. Ruiz-Reyes, P. Vera‐Candeas, et al.. (2023). Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals. Journal of Biomedical Informatics. 145. 104475–104475. 5 indexed citations
5.
Vera‐Candeas, P., et al.. (2023). The music demixing machine: toward real-time remixing of classical music. The Journal of Supercomputing. 79(13). 14342–14357.
6.
Cañadas-Quesada, F.J., et al.. (2019). A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds. Applied Acoustics. 161. 107188–107188. 13 indexed citations
7.
Carabias-Orti, Julio J., et al.. (2016). Tempo Driven Audio-to-Score Alignment Using Spectral Decomposition and Online Dynamic Time Warping. ACM Transactions on Intelligent Systems and Technology. 8(2). 1–20. 8 indexed citations
8.
Vera‐Candeas, P., et al.. (2015). Compositional model for speech denoising based on source/filter speech representation and smoothness/sparseness noise constraints. Speech Communication. 78. 84–99. 3 indexed citations
9.
Vera‐Candeas, P., et al.. (2010). Amplitude modulated sinusoidal modeling for audio onset detection. European Signal Processing Conference. 512–516. 1 indexed citations
10.
Carabias-Orti, Julio J., et al.. (2009). Estimating Instrument Spectral Envelopes for Polyphonic Music Transcription in a Music Scene-Adaptive Approach. Journal of the Audio Engineering Society.
11.
Ruiz-Reyes, N., et al.. (2009). Comparing open-source e-learning platforms from adaptivity point of view. 1–6. 17 indexed citations
12.
Cañadas-Quesada, F.J., et al.. (2009). A Joint Approach to Extract Multiple Fundamental Frequency in Polyphonic Signals Minimizing Gaussian Spectral Distance. Journal of the Audio Engineering Society. 1 indexed citations
13.
Cañadas-Quesada, F.J., et al.. (2008). Polyphonic Piano Transcription Based on Spectral Separation. Journal of the Audio Engineering Society.
14.
Alexandre, Enrique, F.J. Cañadas-Quesada, Manuel Rosa-Zurera, N. Ruiz-Reyes, & P. Vera‐Candeas. (2008). Musical-Inspired Features for Automatic Sound Classification in Digital Hearing Aids. Journal of the Audio Engineering Society. 2 indexed citations
15.
Expósito, J. E. Muñoz, et al.. (2006). Speech/music discrimination using awarped LPC-based feature and a fuzzy expert system for intelligent audio coding. European Signal Processing Conference. 1–5. 1 indexed citations
16.
Galán, Sebastián García, et al.. (2006). A Fuzzy Rules-based Speech/Music Discrimination Approach for Intelligent Audio Coding Over the Internet. Journal of the Audio Engineering Society. 2 indexed citations
17.
Ruiz-Reyes, N. & P. Vera‐Candeas. (2005). A Sinusoidal Modeling Approach Based on Perceptual Matching Pursuits for Parametric Audio Coding. Journal of the Audio Engineering Society. 1 indexed citations
18.
Vera‐Candeas, P., et al.. (2004). Signal-adaptive Parametric Modelling for High Quality Low Bit Rate Audio Coding. Journal of the Audio Engineering Society. 4 indexed citations
19.
Rosa-Zurera, Manuel, et al.. (2003). Ultrasonic flaw detection using radial basis function networks (RBFNs). Ultrasonics. 42(1-9). 361–365. 7 indexed citations
20.
López-Ferreras, F., N. Ruiz-Reyes, P. Vera‐Candeas, & Manuel Rosa-Zurera. (2001). Avoiding overlapping in a time-varying wavelet-packet based audio coder. Journal of the Audio Engineering Society.

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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