Addisson Salazar

1.7k total citations
81 papers, 995 citations indexed

About

Addisson Salazar is a scholar working on Signal Processing, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Addisson Salazar has authored 81 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Signal Processing, 21 papers in Artificial Intelligence and 19 papers in Mechanics of Materials. Recurrent topics in Addisson Salazar's work include Blind Source Separation Techniques (31 papers), Ultrasonics and Acoustic Wave Propagation (18 papers) and EEG and Brain-Computer Interfaces (13 papers). Addisson Salazar is often cited by papers focused on Blind Source Separation Techniques (31 papers), Ultrasonics and Acoustic Wave Propagation (18 papers) and EEG and Brain-Computer Interfaces (13 papers). Addisson Salazar collaborates with scholars based in Spain, Lithuania and Malaysia. Addisson Salazar's co-authors include Luis Vergara, Gonzalo Safont, Jorge Gosálbez Castillo, Jorge Igual, Antonio Soriano, Ignacio Bosch Reig, Alberto Rodríguez, Enrique Vidal, Ramón Miralles and Vicente Villanueva and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Addisson Salazar

73 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Addisson Salazar Spain 21 332 236 160 146 131 81 995
Luis Vergara Spain 24 405 1.2× 298 1.3× 234 1.5× 145 1.0× 193 1.5× 132 1.5k
Gonzalo Safont Spain 16 225 0.7× 86 0.4× 93 0.6× 86 0.6× 80 0.6× 42 543
Brian C. Van Essen United States 6 340 1.0× 79 0.3× 283 1.8× 76 0.5× 82 0.6× 10 1.2k
Stefan Westberg United States 3 334 1.0× 79 0.3× 282 1.8× 68 0.5× 81 0.6× 6 1.2k
Mst Shamima Nasrin United States 3 548 1.7× 82 0.3× 392 2.5× 67 0.5× 92 0.7× 4 1.4k
Óscar Fontenla-Romero Spain 19 483 1.5× 126 0.5× 106 0.7× 70 0.5× 96 0.7× 73 1.3k
M.T. Manry United States 24 716 2.2× 190 0.8× 336 2.1× 34 0.2× 83 0.6× 134 1.8k
Robert J. Schalkoff United States 10 307 0.9× 115 0.5× 406 2.5× 99 0.7× 53 0.4× 47 1.1k
Kohei Arai Japan 16 233 0.7× 41 0.2× 358 2.2× 141 1.0× 115 0.9× 365 1.6k
Guilherme A. Barreto Brazil 17 630 1.9× 170 0.7× 219 1.4× 82 0.6× 130 1.0× 106 1.4k

Countries citing papers authored by Addisson Salazar

Since Specialization
Citations

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

Fields of papers citing papers by Addisson Salazar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Addisson Salazar

This figure shows the co-authorship network connecting the top 25 collaborators of Addisson Salazar. A scholar is included among the top collaborators of Addisson Salazar 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 Addisson Salazar. Addisson Salazar 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.
Salazar, Addisson, et al.. (2022). On Training Road Surface Classifiers by Data Augmentation. Applied Sciences. 12(7). 3423–3423. 5 indexed citations
2.
3.
Salazar, Addisson, Luis Vergara, & Enrique Vidal. (2022). A proxy learning curve for the Bayes classifier. Pattern Recognition. 136. 109240–109240. 26 indexed citations
4.
5.
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
6.
Safont, Gonzalo, Addisson Salazar, & Luis Vergara. (2020). Vector score alpha integration for classifier late fusion. Pattern Recognition Letters. 136. 48–55. 20 indexed citations
7.
Vergara, Luis, et al.. (2019). A New Surrogating Algorithm by the Complex Graph Fourier Transform (CGFT). Entropy. 21(8). 759–759. 14 indexed citations
8.
Safont, Gonzalo, Addisson Salazar, & Luis Vergara. (2019). Multiclass Alpha Integration of Scores from Multiple Classifiers. Neural Computation. 31(4). 806–825. 32 indexed citations
9.
Salazar, Addisson, Gonzalo Safont, & Luis Vergara. (2019). A New Method for Fraud Detection in Credit Cards Based on Transaction Dynamics in Subspaces. RiuNet (Politechnical University of Valencia). 722–725. 1 indexed citations
10.
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
11.
Safont, Gonzalo, Addisson Salazar, Luis Vergara, & Alberto Rodríguez. (2018). Nonlinear estimators from ICA mixture models. Signal Processing. 155. 281–286. 9 indexed citations
12.
Safont, Gonzalo, Addisson Salazar, & Luis Vergara. (2017). Unsupervised learning of non-Gaussian mixtures with temporal dependencies. 399–402. 1 indexed citations
13.
Salazar, Addisson, Gonzalo Safont, Alberto Rodríguez, & Luis Vergara. (2016). Combination of multiple detectors for credit card fraud detection. 12 indexed citations
14.
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
15.
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
16.
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
17.
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
18.
Salazar, Addisson, et al.. (2007). Ultrasonic-based method to sort archaeological ceramics.
19.
Salazar, Addisson & Victor B. Lawrence. (2005). Design and implementation of transmitter and receiver filters with periodic coefficient nulls for digital systems. 7. 306–310. 9 indexed citations
20.
Miralles, Ramón, et al.. (2004). Non Destructive Testing Of Materials By Bicepstrum Analysis Of Ultrasonic Signals. Zenodo (CERN European Organization for Nuclear Research). 1103–1106. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Luis Vergara Breakdown of academic impact, for papers by Gonzalo Safont Breakdown of academic impact, for papers by Brian C. Van Essen Breakdown of academic impact, for papers by Stefan Westberg Breakdown of academic impact, for papers by Mst Shamima Nasrin Breakdown of academic impact, for papers by Óscar Fontenla-Romero Breakdown of academic impact, for papers by M.T. Manry Breakdown of academic impact, for papers by Robert J. Schalkoff Breakdown of academic impact, for papers by Kohei Arai Breakdown of academic impact, for papers by Guilherme A. Barreto
Rankless by CCL
2026