Luis Vergara

2.3k total citations
132 papers, 1.5k citations indexed

About

Luis Vergara is a scholar working on Signal Processing, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Luis Vergara has authored 132 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Signal Processing, 33 papers in Mechanics of Materials and 30 papers in Artificial Intelligence. Recurrent topics in Luis Vergara's work include Blind Source Separation Techniques (39 papers), Ultrasonics and Acoustic Wave Propagation (32 papers) and Geophysical Methods and Applications (18 papers). Luis Vergara is often cited by papers focused on Blind Source Separation Techniques (39 papers), Ultrasonics and Acoustic Wave Propagation (32 papers) and Geophysical Methods and Applications (18 papers). Luis Vergara collaborates with scholars based in Spain, United States and France. Luis Vergara's co-authors include Addisson Salazar, Gonzalo Safont, Ignacio Bosch Reig, Jorge Gosálbez Castillo, Ramón Miralles, Jorge Igual, Antonio Soriano, Alberto Rodríguez, Enrique Vidal and J.M. Pàez-Borrallo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marketing Research and Nuclear Physics B.

In The Last Decade

Luis Vergara

118 papers receiving 1.3k 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 Vergara Spain 24 405 298 234 227 193 132 1.5k
Addisson Salazar Spain 21 332 0.8× 236 0.8× 160 0.7× 91 0.4× 131 0.7× 81 995
Birmohan Singh India 17 591 1.5× 146 0.5× 300 1.3× 59 0.3× 152 0.8× 62 1.9k
Hongjun Wang China 18 316 0.8× 127 0.4× 358 1.5× 59 0.3× 174 0.9× 92 1.5k
Timothy Masters United States 10 670 1.7× 123 0.4× 167 0.7× 138 0.6× 100 0.5× 22 2.0k
Abdullah Al Mamun Singapore 24 451 1.1× 83 0.3× 318 1.4× 70 0.3× 276 1.4× 156 2.1k
Xinzheng Xu China 20 841 2.1× 84 0.3× 440 1.9× 58 0.3× 120 0.6× 55 1.8k
Ard Oerlemans Netherlands 5 518 1.3× 96 0.3× 688 2.9× 42 0.2× 137 0.7× 12 1.8k
Bo Xiao China 26 583 1.4× 59 0.2× 165 0.7× 269 1.2× 236 1.2× 142 2.2k
Ajay Shrestha United States 5 387 1.0× 78 0.3× 250 1.1× 50 0.2× 187 1.0× 11 1.4k
Martin Längkvist Sweden 9 379 0.9× 295 1.0× 234 1.0× 24 0.1× 207 1.1× 26 1.5k

Countries citing papers authored by Luis Vergara

Since Specialization
Citations

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

Fields of papers citing papers by Luis Vergara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Vergara

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Vergara. A scholar is included among the top collaborators of Luis Vergara 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 Vergara. Luis Vergara 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.
Dorigo, T., Cornelia Arcaro, Muhammad Awais, et al.. (2025). Toward the end-to-end optimization of the SWGO array layout. Nuclear Physics B. 1017. 116934–116934.
2.
Salazar, Addisson, et al.. (2022). On Training Road Surface Classifiers by Data Augmentation. Applied Sciences. 12(7). 3423–3423. 5 indexed citations
3.
4.
Salazar, Addisson, Gonzalo Safont, Luis Vergara, & Enrique Vidal. (2020). Pattern recognition techniques for provenance classification of archaeological ceramics using ultrasounds. Pattern Recognition Letters. 135. 441–450. 23 indexed citations
5.
Rodríguez‐Veiga, Pedro, Polyanna da Conceição Bispo, Edersson Cabrera, et al.. (2019). MAPPING THE SPATIAL DISTRIBUTION OF COLOMBIA’S FOREST ABOVEGROUND BIOMASS USING SAR AND OPTICAL DATA. SHILAP Revista de lepidopterología. XLII-3/W7. 57–60. 2 indexed citations
6.
Lloria, M. Begoña, et al.. (2018). Effect of exploitation and exploration on the innovative as outcomes in entrepreneurial firms. International Entrepreneurship and Management Journal. 14(4). 1053–1069. 15 indexed citations
7.
Safont, Gonzalo, Addisson Salazar, Luis Vergara, & Alberto Rodríguez. (2018). Nonlinear estimators from ICA mixture models. Signal Processing. 155. 281–286. 9 indexed citations
8.
Reig, Ignacio Bosch, A. Serrano, & Luis Vergara. (2013). Multisensor Network System for Wildfire Detection Using Infrared Image Processing. The Scientific World JOURNAL. 2013(1). 402196–402196. 27 indexed citations
9.
Safont, Gonzalo, Addisson Salazar, Luis Vergara, & Alberto Rodríguez. (2013). New Applications of Sequential ICA Mixtures Models Compared with Dynamic Bayesian Networks for EEG Signal Processing. 397–402. 4 indexed citations
10.
Salazar, Addisson, Gonzalo Safont, Antonio Soriano, & Luis Vergara. (2012). Automatic credit card fraud detection based on non-linear signal processing. 207–212. 19 indexed citations
11.
Kroschel, Kristian, et al.. (2009). Acoustic detection and classification of sound sources using temporal multiple energy detector features. European Signal Processing Conference. 769–773. 1 indexed citations
12.
Miralles, Ramón, Luis Vergara, Addisson Salazar, & Jorge Igual. (2008). Blind detection of nonlinearities in multiple-echo ultrasonic signals. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 55(3). 637–647. 5 indexed citations
13.
Vergara, Luis, et al.. (2008). An extended energy detector for non-Gaussian and non-independent noise. Signal Processing. 89(4). 656–661. 12 indexed citations
14.
Reig, Ignacio Bosch, et al.. (2007). Automatic Forest Surveillance Based on Infrared Sensors. 572–577. 6 indexed citations
15.
Reig, Ignacio Bosch & Luis Vergara. (2007). Normalized split-spectrum: A detection approach. Ultrasonics. 48(1). 56–65. 11 indexed citations
16.
Vergara, Luis, Ignacio Bosch Reig, Jorge Gosálbez Castillo, & Addisson Salazar. (2007). Optimum Detection of Ultrasonic Echoes Applied to the Analysis of the First Layer of a Restored Dome. EURASIP Journal on Advances in Signal Processing. 2007(1). 74 indexed citations
17.
Vergara, Luis, Jorge Gosálbez Castillo, Ramón Miralles, & Ignacio Bosch Reig. (2004). On estimating the center frequency of ultrasonic pulses. Ultrasonics. 42(1-9). 813–818. 5 indexed citations
18.
Igual, Jorge, et al.. (2003). A maximum a posteriori estimate for the source separation problem with statistical knowledge about the mixing matrix. Pattern Recognition Letters. 24(15). 2519–2523. 1 indexed citations
19.
Molthen, Robert C., et al.. (1997). Studies on ultrasonic scattering from quasi-periodic structures. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 44(1). 114–124. 23 indexed citations
20.
Vergara, Luis. (1990). New insights into the high-order Yule-Walker equations. IEEE Transactions on Acoustics Speech and Signal Processing. 38(9). 1649–1651. 8 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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