Luis Weruaga

586 total citations
45 papers, 320 citations indexed

About

Luis Weruaga is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Luis Weruaga has authored 45 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 19 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Mechanics. Recurrent topics in Luis Weruaga's work include Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (12 papers) and Blind Source Separation Techniques (12 papers). Luis Weruaga is often cited by papers focused on Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (12 papers) and Blind Source Separation Techniques (12 papers). Luis Weruaga collaborates with scholars based in United Arab Emirates, Austria and Spain. Luis Weruaga's co-authors include Mohamed Jamal Zemerly, Shihab Jimaa, Juan Morales‐Sánchez, Jason Ng, Mohamed I. AlHajri, Raed M. Shubair, Javier Vía, Hussain Al-Ahmad, Rafael Verdú‐Monedero and Gernot Kubin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Luis Weruaga

44 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Weruaga United Arab Emirates 9 149 128 68 58 55 45 320
Miao Xin China 10 45 0.3× 197 1.5× 43 0.6× 20 0.3× 81 1.5× 31 315
W.H. Lau Hong Kong 13 258 1.7× 314 2.5× 53 0.8× 230 4.0× 83 1.5× 51 647
Xinggang Lin China 13 87 0.6× 495 3.9× 20 0.3× 44 0.8× 71 1.3× 79 578
Yu‐Cheng Fan Taiwan 13 86 0.6× 298 2.3× 20 0.3× 77 1.3× 33 0.6× 101 526
Hiroshi Yasukawa Japan 12 211 1.4× 130 1.0× 106 1.6× 38 0.7× 118 2.1× 88 405
Chengyi Xiong China 10 120 0.8× 258 2.0× 67 1.0× 36 0.6× 27 0.5× 48 367
Meenu Rani India 3 83 0.6× 67 0.5× 181 2.7× 97 1.7× 24 0.4× 4 357
Koeng-Mo Sung South Korea 12 203 1.4× 150 1.2× 128 1.9× 131 2.3× 87 1.6× 74 511
Yi Wan China 11 45 0.3× 341 2.7× 24 0.4× 81 1.4× 44 0.8× 88 502
Tang Kun China 11 214 1.4× 152 1.2× 134 2.0× 47 0.8× 49 0.9× 80 415

Countries citing papers authored by Luis Weruaga

Since Specialization
Citations

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

Fields of papers citing papers by Luis Weruaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Weruaga

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Weruaga. A scholar is included among the top collaborators of Luis Weruaga 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 Luis Weruaga. Luis Weruaga 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
2.
Weruaga, Luis, et al.. (2016). Optimal Sparsity Tradeoff in <inline-formula> <tex-math notation="LaTeX">$\ell _0$</tex-math> </inline-formula>-NLMS Algorithm. IEEE Signal Processing Letters. 23(8). 1121–1125. 3 indexed citations
3.
Elayan, Hadeel, et al.. (2015). Leveraging the ℓ1-LS criterion for OFDM sparse wireless channel estimation. 1. 845–849. 5 indexed citations
4.
AlHajri, Mohamed I., et al.. (2015). Hybrid method for enhanced detection of coherent signals using circular antenna arrays. 2008. 1810–1811. 4 indexed citations
5.
AlHajri, Mohamed I., et al.. (2015). Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment. 1. 238–241. 20 indexed citations
6.
Taha, Bilal, et al.. (2015). Sparse NLMS adaptive algorithms for multipath wireless channel estimation. 839–844. 4 indexed citations
7.
Lee, Suwon, et al.. (2014). Real-time sensor-fusion based indoor localization for mobile Augmented Reality. 184–191. 1 indexed citations
8.
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
9.
Weruaga, Luis & Shihab Jimaa. (2014). Exact NLMS Algorithm with <formula formulatype="inline"> <tex Notation="TeX">${\ell _p}$</tex></formula>-Norm Constraint. IEEE Signal Processing Letters. 22(3). 366–370. 15 indexed citations
10.
Weruaga, Luis. (2012). Redundant time-frequency marginals for chirplet decomposition. 87. 1–5. 1 indexed citations
11.
Weruaga, Luis. (2011). Two methods for autoregressive estimationin noise. 501–504. 1 indexed citations
12.
Weruaga, Luis. (2011). Frequency-Selective Noise-Compensated Autoregressive Estimation. IEEE Transactions on Circuits and Systems I Regular Papers. 58(10). 2469–2476. 5 indexed citations
13.
Verdú‐Monedero, Rafael, Juan Morales‐Sánchez, & Luis Weruaga. (2008). Convergence analysis of active contours. Image and Vision Computing. 26(8). 1118–1128. 4 indexed citations
14.
Weruaga, Luis, et al.. (2007). Maximum-Likelihood Autoregressive Estimation on Incomplete Spectra. 39. III–1001. 2 indexed citations
15.
Kubin, Gernot, et al.. (2006). Time-frequency analysis for voice activity detection. International Conference on Signal Processing. 9(6). 244–249. 2 indexed citations
16.
Weruaga, Luis, et al.. (2006). Tikhonov training of the CMAC neural network. IEEE Transactions on Neural Networks. 17(3). 613–622. 6 indexed citations
17.
Weruaga, Luis, et al.. (2005). Self-organizing chirp-sensitive artificial auditory cortical model. 705–708. 5 indexed citations
18.
Weruaga, Luis, et al.. (2005). Adaptive chirp-based time–frequency analysis of speech signals. Speech Communication. 48(5). 474–492. 46 indexed citations
19.
Weruaga, Luis. (2005). Active training on the CMAC neural network. 2. 855–860. 1 indexed citations
20.
Weruaga, Luis, et al.. (2004). Frequency domain formulation of active parametric deformable models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(12). 1568–1578. 15 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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