Roberto A. Vázquez

1.2k total citations
56 papers, 670 citations indexed

About

Roberto A. Vázquez is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roberto A. Vázquez has authored 56 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 19 papers in Cognitive Neuroscience and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roberto A. Vázquez's work include Neural Networks and Applications (16 papers), Neural dynamics and brain function (12 papers) and Advanced Memory and Neural Computing (11 papers). Roberto A. Vázquez is often cited by papers focused on Neural Networks and Applications (16 papers), Neural dynamics and brain function (12 papers) and Advanced Memory and Neural Computing (11 papers). Roberto A. Vázquez collaborates with scholars based in Mexico, Bolivia and United States. Roberto A. Vázquez's co-authors include Beatriz A. Garro, Humberto Sossa, Randall F. Barron, Amílcar Arenal, Diego M. Viteri, Martin K. Nielsen, Bernard Girau, Ruben I. Carino-Escobar, Jessica Cantillo-Negrete and Josefina Gutiérrez-Martínez and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Roberto A. Vázquez

53 papers receiving 640 citations

Peers

Roberto A. Vázquez
Comparison fields: 5 of 100
  • Artificial Intelligence 348
  • Electrical and Electronic Engineering 155
  • Cognitive Neuroscience 145
  • Computer Vision and Pattern Recognition 119
  • Molecular Biology 87
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Citations per field, relative to Roberto A. Vázquez
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Countries citing papers authored by Roberto A. Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by Roberto A. Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto A. Vázquez. 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 Roberto A. Vázquez. The network helps show where Roberto A. Vázquez may publish in the future.

Co-authorship network of co-authors of Roberto A. Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto A. Vázquez. A scholar is included among the top collaborators of Roberto A. Vázquez 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 Roberto A. Vázquez. Roberto A. Vázquez 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
# Work Indexed citations
1 1
2 2
3 10
4 6
5
Clasificación de cultivos agrícolas utilizando técnicas clásicas de procesamiento de imágenes y redes neuronales artificiales
1
6 6
7 1
8 2
9
Izhikevich Neuron Model and its Application in Pattern Recognition
19
10 20
11 17
12
Using Testor Theory to Reduce the Dimension of Neural Networks Models
1
13 1
14
A New Bi-directional Associative Memory
1
15 13
16
Object Classification Based on Associative Memories and Midpoint Operator
1
17
Reconocimiento y localización de instrumental médico usando análisis automatizado de imágenes
0
18 2
19 1
20 6

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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