Jorge I. Aunon

1.2k total citations
25 papers, 937 citations indexed

About

Jorge I. Aunon is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jorge I. Aunon has authored 25 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Jorge I. Aunon's work include Neural Networks and Applications (10 papers), Blind Source Separation Techniques (10 papers) and EEG and Brain-Computer Interfaces (9 papers). Jorge I. Aunon is often cited by papers focused on Neural Networks and Applications (10 papers), Blind Source Separation Techniques (10 papers) and EEG and Brain-Computer Interfaces (9 papers). Jorge I. Aunon collaborates with scholars based in United States, Slovakia and Mexico. Jorge I. Aunon's co-authors include Z.A. Keirn, C.D. McGillem, Henri Begleiter, Bernice Porjesz, D. G. Childers, Kai‐Bor Yu, Barbara Gentz, V. Chandrasekar, V. Chandrasekar and Fredric K. Cantor and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Biomedical Engineering and Psychophysiology.

In The Last Decade

Jorge I. Aunon

25 papers receiving 864 citations

Peers

Jorge I. Aunon
Comparison fields: 5 of 96
  • Cognitive Neuroscience 714
  • Signal Processing 334
  • Artificial Intelligence 171
  • Cellular and Molecular Neuroscience 142
  • Electrical and Electronic Engineering 88
Replace Tomasz M. Rutkowski with:
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Clive Cheong Took United Kingdom
Jaakko Särelä Finland
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Citations per field, relative to Jorge I. Aunon
Jorge I. Aunon · 1×
Citations per year, relative to Jorge I. Aunon
Jorge I. Aunon · 1×

Countries citing papers authored by Jorge I. Aunon

Since Specialization
Citations

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

Fields of papers citing papers by Jorge I. Aunon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge I. Aunon. 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 Jorge I. Aunon. The network helps show where Jorge I. Aunon may publish in the future.

Co-authorship network of co-authors of Jorge I. Aunon

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge I. Aunon. A scholar is included among the top collaborators of Jorge I. Aunon 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 Jorge I. Aunon. Jorge I. Aunon 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
Peatland Catchments and Natural Flood Management
5
2 4
3 31
4
Introduction to probability and random processes
13
5 11
6 331
7 53
8 24
9 22
10 3
11 42
12 152
13 5
14 6
15
Signal processing in evoked potential research: averaging and modeling.
72
16 5
17 10
18 9
19 4
20 14

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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