Addisson Salazar

73 papers receiving 894 citations

Peers

Addisson Salazar
Comparison fields: 5 of 113
  • Signal Processing 236
  • Media Technology 122
  • Artificial Intelligence 332
  • Analytical Chemistry 95
  • Computer Vision and Pattern Recognition 160
Replace Luis Vergara with:
Luis Vergara Spain
Gonzalo Safont Spain
Shaiful Jahari Hashim Malaysia
Dana Lahat France
Manuele Bicego Italy
Brian C. Van Essen United States
Kohei Arai Japan
Chongsheng Zhang China
Tehmina Khalil Pakistan
Stefan Westberg United States
Addisson Salazar relative to Luis Vergara Spain Luis Vergara's profile →
Citations per field
00.5×1.5×
Luis Vergara · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Addisson Salazar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Addisson Salazar Line = papers co-authored together Addisson Salazar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202078
2 200774
3 201539
4 201834
5 201034
6 201932
7 201531
8 202330
9 200928
10 201526
11 202226
12 201425
13 202025
14 201224
15 200524
16 202023
17 201423
18 201022
19 202020
20 201820

About Addisson Salazar

Addisson Salazar is a scholar working on Signal Processing, Artificial Intelligence, Mechanics of Materials, Cognitive Neuroscience and Ocean Engineering, having authored 81 papers that have together received 995 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (31 papers), Ultrasonics and Acoustic Wave Propagation (18 papers), EEG and Brain-Computer Interfaces (13 papers), Spectroscopy and Chemometric Analyses (12 papers), Geophysical Methods and Applications (10 papers), Fault Detection and Control Systems (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Chemical Sensor Technologies (8 papers). The work is most often cited by research in Signal Processing (236 citations), Media Technology (122 citations), Artificial Intelligence (332 citations), Analytical Chemistry (95 citations) and Computer Vision and Pattern Recognition (160 citations). Addisson Salazar has collaborated with scholars based in Spain, Lithuania and Algeria. Frequent co-authors include Luis Vergara, Gonzalo Safont, Jorge Gosálbez Castillo, Jorge Igual, Antonio Soriano, Ignacio Bosch Reig, Alberto Rodríguez, Enrique Vidal, Ramón Miralles and Enriqueta Gómez. Their work appears in journals such as Signal Processing, IEEE Access, Pattern Recognition, Mechanical Systems and Signal Processing and Neural Computation.

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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