P. A. Estévez

5.5k citations
131 papers · 3.5k indexed · 2 hit papers · h-index 28
Topics
Neural Networks and Applications (25 papers)Face and Expression Recognition (13 papers)EEG and Brain-Computer Interfaces (12 papers)
Partner nations
ChileUnited StatesJapan

In The Last Decade

P. A. Estévez

122 papers receiving 3.4k citations

Hit Papers

Normalized Mutual Information Feature Selection200920262014202020092013250500750

Peers

P. A. Estévez
Comparison fields: 5 of 175
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 923
  • Signal Processing 394
  • Electrical and Electronic Engineering 358
  • Cognitive Neuroscience 295
Replace Cheng Soon Ong with:
Cheng Soon Ong Australia
Joan Bruna United States
Barnabás Póczos United States
Vincent Dumoulin United States
Christian Igel Denmark
Amos Storkey United Kingdom
M. R. Mosavi Iran
Todd K. Moon United States
Donald C. Wunsch United States
S. Lecœuche France
P. A. Estévez relative to Cheng Soon Ong Australia Cheng Soon Ong's profile →
Citations per field
00.5×1.5×2.2×
Cheng Soon Ong · 1×
Citations per year

Countries citing papers authored by P. A. Estévez

Since Specialization
Citations

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

Fields of papers citing papers by P. A. Estévez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. A. Estévez

This figure shows the co-authorship network connecting the top 25 collaborators of P. A. Estévez. A scholar is included among the top collaborators of P. A. Estévez 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 P. A. Estévez. P. A. Estévez 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
#WorkIndexed citations
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2 17
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About P. A. Estévez

P. A. Estévez is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 131 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (25 papers), Face and Expression Recognition (13 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (923 citations), Artificial Intelligence (1.4k citations) and Signal Processing (394 citations). P. A. Estévez has collaborated with scholars based in Chile, United States and Japan. Frequent co-authors include Jorge R. Vergara, Carlos A. Perez, Jacek M. Żurada, Gonzalo A. Ruz, Rodrigo Palma-­Behnke, Pavlos Protopapas, F. Förster, P. Huijse, Claes Held and Marcos E. Orchard. Their work appears in journals such as The Astrophysical Journal, Journal of Power Sources and Scientific Reports.

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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