Enrique Peláez

65 total papers · 1.8k total citations
48 papers, 1.0k citations indexed

About

Enrique Peláez is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Enrique Peláez has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 8 papers in Signal Processing. Recurrent topics in Enrique Peláez's work include EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (5 papers) and Muscle activation and electromyography studies (5 papers). Enrique Peláez is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (5 papers) and Muscle activation and electromyography studies (5 papers). Enrique Peláez collaborates with scholars based in Ecuador, United States and Morocco. Enrique Peláez's co-authors include J.B. Bowles, Francis R. Loayza, Diego H. Peluffo-Ordóńez, Federico Domínguez, Xavier Ochôa, Bhiksha Raj, Paul S. Goodman, Michael P. Barrett, Ricardo Cajo and Edwin Valarezo Añazco and has published in prestigious journals such as Proceedings of the IEEE, Sensors and Information Sciences.

In The Last Decade

Enrique Peláez

42 papers receiving 973 citations

Hit Papers

Fuzzy logic prioritizatio... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Enrique Peláez 450 327 317 197 119 48 1.0k
Kai Meng Tay 496 1.1× 255 0.8× 361 1.1× 154 0.8× 180 1.5× 63 1.1k
J.B. Bowles 396 0.9× 407 1.2× 231 0.7× 350 1.8× 166 1.4× 44 1.2k
Yuping Hu 276 0.6× 190 0.6× 113 0.4× 168 0.9× 90 0.8× 71 883
Kai Virtanen 183 0.4× 79 0.2× 193 0.6× 86 0.4× 126 1.1× 77 1.1k
Takehisa Onisawa 295 0.7× 501 1.5× 123 0.4× 140 0.7× 144 1.2× 101 965
P.C. Cacciabue 87 0.2× 430 1.3× 109 0.3× 236 1.2× 117 1.0× 81 1.1k
A. Srividya 111 0.2× 290 0.9× 58 0.2× 233 1.2× 196 1.6× 70 846
Mohsen Naderpour 78 0.2× 211 0.6× 136 0.4× 123 0.6× 75 0.6× 43 906
Karen M. Feigh 148 0.3× 74 0.2× 237 0.7× 87 0.4× 131 1.1× 128 1.1k
Mansooreh Mollaghasemi 318 0.7× 39 0.1× 178 0.6× 44 0.2× 110 0.9× 68 1.0k

Countries citing papers authored by Enrique Peláez

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Peláez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrique Peláez

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Peláez. A scholar is included among the top collaborators of Enrique Peláez 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 Enrique Peláez. Enrique Peláez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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