Diego M. Mateos

860 citations
38 papers · 470 · h-index 13

Impact in

Papers in

    • Neural dynamics and brain function 22
    • Functional Brain Connectivity Studies 9
    • EEG and Brain-Computer Interfaces 8
    • Sleep and Wakefulness Research 3
    • Fractal and DNA sequence analysis 6

Diego M. Mateos

32 papers receiving 459 citations

Peers

Diego M. Mateos
Comparison fields: 5 of 87
  • Cognitive Neuroscience 272
  • Statistical and Nonlinear Physics 59
  • Cellular and Molecular Neuroscience 57
  • Anesthesiology and Pain Medicine 12
  • Experimental and Cognitive Psychology 27
Replace Daniel Toker with:
Daniel Toker United States
Ramón Guevara Erra France
Yinghua Wang China
B. Henggeler Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Diego M. Mateos

Since Specialization
Citations

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

Fields of papers citing papers by Diego M. Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego M. Mateos. 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 Diego M. Mateos. The network helps show where Diego M. Mateos may publish in the future.

Co-authors

The 25 scholars most cited alongside Diego M. Mateos, 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 Diego M. Mateos Line = papers co-authored together Diego M. Mateos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 202279
3 201643
4 201723
5 202122
6 202420
7 201718
8 201417
9 201916
10 202215
11 201415
12 201713
13 202012
14 202212
15 202012
16 202211
17 20209
18 20217
19 20237
20 20236

About Diego M. Mateos

Diego M. Mateos is a scholar working on Cognitive Neuroscience, Molecular Biology, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Economics and Econometrics, having authored 38 papers that have together received 470 indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), Functional Brain Connectivity Studies (9 papers), EEG and Brain-Computer Interfaces (8 papers), Fractal and DNA sequence analysis (6 papers), Complex Systems and Time Series Analysis (5 papers), Chaos control and synchronization (4 papers), Plant and Biological Electrophysiology Studies (4 papers) and Sleep and Wakefulness Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (272 citations), Statistical and Nonlinear Physics (59 citations), Cellular and Molecular Neuroscience (57 citations), Anesthesiology and Pain Medicine (12 citations) and Experimental and Cognitive Psychology (27 citations). Diego M. Mateos has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include José Luis Pérez Velázquez, Richard Wennberg, Ramón Guevara Erra, Pedro W. Lamberti, Ramón Guevara, Jaime Gómez‐Ramírez, Steeve Zozor, Osvaldo A. Rosso, Robin Carhart‐Harris and Joel Frohlich. Their work appears in journals such as Physical review. E, Chaos An Interdisciplinary Journal of Nonlinear Science, Physica A Statistical Mechanics and its Applications, Biomedical Signal Processing and Control and Chaos Solitons & Fractals.

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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