David Luengo

2.7k total citations
85 papers, 1.4k citations indexed

About

David Luengo is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability. According to data from OpenAlex, David Luengo has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 28 papers in Signal Processing and 18 papers in Statistics and Probability. Recurrent topics in David Luengo's work include Blind Source Separation Techniques (24 papers), Bayesian Methods and Mixture Models (14 papers) and ECG Monitoring and Analysis (14 papers). David Luengo is often cited by papers focused on Blind Source Separation Techniques (24 papers), Bayesian Methods and Mixture Models (14 papers) and ECG Monitoring and Analysis (14 papers). David Luengo collaborates with scholars based in Spain, Finland and Israel. David Luengo's co-authors include Luca Martino, V́ıctor Elvira, Mónica F. Bugallo, Jesse Read, Jukka Corander, Neil D. Lawrence, Mauricio A. Álvarez, Ignacio Santamarı́a, Joaquı́n Mı́guez and Antonio Artés-Rodrı́guez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

David Luengo

82 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Luengo Spain 21 702 287 191 168 163 85 1.4k
Takafumi Kanamori Japan 22 978 1.4× 459 1.6× 237 1.2× 365 2.2× 105 0.6× 78 1.7k
V́ıctor Elvira Spain 22 792 1.1× 358 1.2× 93 0.5× 94 0.6× 200 1.2× 94 1.6k
Taiji Suzuki Japan 22 947 1.3× 370 1.3× 240 1.3× 422 2.5× 61 0.4× 96 1.8k
P.M.T. Broersen Netherlands 23 374 0.5× 106 0.4× 460 2.4× 182 1.1× 90 0.6× 123 1.8k
Yoshinobu Kawahara Japan 19 338 0.5× 81 0.3× 178 0.9× 171 1.0× 89 0.5× 85 1.1k
Michalis K. Titsias United Kingdom 18 1.1k 1.6× 136 0.5× 134 0.7× 342 2.0× 84 0.5× 39 1.7k
Joaquin Quiñonero-Candela Germany 12 1.2k 1.7× 127 0.4× 109 0.6× 286 1.7× 99 0.6× 20 1.9k
Andrea Caponnetto Italy 11 703 1.0× 235 0.8× 85 0.4× 391 2.3× 30 0.2× 19 1.7k
Ingo Steinwart United States 25 1.1k 1.6× 609 2.1× 158 0.8× 588 3.5× 87 0.5× 65 2.2k
G.L. Wise United States 15 298 0.4× 202 0.7× 310 1.6× 589 3.5× 94 0.6× 78 1.5k

Countries citing papers authored by David Luengo

Since Specialization
Citations

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

Fields of papers citing papers by David Luengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Luengo

This figure shows the co-authorship network connecting the top 25 collaborators of David Luengo. A scholar is included among the top collaborators of David Luengo 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 David Luengo. David Luengo 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.
Luengo, David, et al.. (2025). ECG-Based Biometric Recognition: A Survey of Methods and Databases. Sensors. 25(6). 1864–1864.
2.
Luengo, David, et al.. (2023). Efficient Clustering-Based electrocardiographic biometric identification. Expert Systems with Applications. 219. 119609–119609. 12 indexed citations
3.
Navarro, Enrique, et al.. (2021). Foot Insole Pressure Distribution during the Golf Swing in Professionals and Amateur Players. Applied Sciences. 12(1). 358–358. 6 indexed citations
4.
Luengo, David, et al.. (2021). A Novel Scheme of Multicarrier Modulation With the Discrete Cosine Transform. IEEE Transactions on Wireless Communications. 20(12). 7992–8005. 4 indexed citations
5.
Luengo, David, et al.. (2017). Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution. IEEE Journal of Biomedical and Health Informatics. 22(5). 1385–1394. 49 indexed citations
6.
7.
Luengo, David, et al.. (2015). Estimation of Symmetric Channels for Discrete Cosine Transform Type‐I Multicarrier Systems: A Compressed Sensing Approach. The Scientific World JOURNAL. 2015(1). 151370–151370. 6 indexed citations
8.
Martino, Luca, V́ıctor Elvira, David Luengo, & Jukka Corander. (2015). An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Transactions on Signal Processing. 63(16). 4422–4437. 50 indexed citations
9.
Elvira, V́ıctor, Luca Martino, David Luengo, & Jukka Corander. (2015). A gradient adaptive population importance sampler. 4075–4079. 10 indexed citations
10.
Luengo, David, et al.. (2015). Causality analysis of atrial fibrillation electrograms. e-Archivo (Carlos III University of Madrid). 1. 585–588. 3 indexed citations
11.
Luengo, David, et al.. (2014). Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. UPM Digital Archive (Technical University of Madrid). 1537–1541. 5 indexed citations
12.
Martino, Luca, V́ıctor Elvira, David Luengo, Antonio Artés-Rodrı́guez, & Jukka Corander. (2014). Orthogonal MCMC algorithms. 364–367. 7 indexed citations
13.
Álvarez, Mauricio A., David Luengo, & Neil D. Lawrence. (2013). Linear Latent Force Models Using Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2693–2705. 59 indexed citations
14.
Read, Jesse, Luca Martino, & David Luengo. (2012). Efficient Monte Carlo Optimization for Multi-dimensional Classifier Chains. arXiv (Cornell University). 2 indexed citations
15.
16.
Álvarez, Mauricio A., David Luengo, Michalis K. Titsias, & Neil D. Lawrence. (2010). Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. International Conference on Artificial Intelligence and Statistics. 25–32. 47 indexed citations
17.
Álvarez, Mauricio A., David Luengo, & Neil D. Lawrence. (2009). Latent Force Models. International Conference on Artificial Intelligence and Statistics. 9–16. 52 indexed citations
18.
Luengo, David, Ignacio Santamarı́a, & Luis Vielva. (2005). Asymptotically optimal maximum-likelihood estimation of a class of chaotic signals using the Viterbi algorithm. European Signal Processing Conference. 1–4. 2 indexed citations
19.
Luengo, David, Ignacio Santamarı́a, J. Ibáñez, Luis Vielva, & C. Pantaleón. (2003). A fast blind SIMO channel identification algorithm for sparse sources. IEEE Signal Processing Letters. 10(5). 148–151. 14 indexed citations
20.
Luengo, David, et al.. (2000). An Efficient Method For Chaotic Signal Parameter Estimation. Zenodo (CERN European Organization for Nuclear Research). 1–4. 3 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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