Daniel Chicharro

1.4k citations
23 papers · 823 · h-index 17

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Olfactory and Sensory Function Studies

Papers in

Daniel Chicharro

22 papers receiving 803 citations

Peers

Daniel Chicharro
Comparison fields: 5 of 78
  • Cognitive Neuroscience 596
  • Sensory Systems 78
  • Cellular and Molecular Neuroscience 246
  • Statistical and Nonlinear Physics 138
  • Signal Processing 67
Replace Oren Shriki with:
Oren Shriki Israel
E. Başar Türkiye
Søren Rahn Christensen Denmark
Brian C. Burke United States
Pedro A. M. Mediano United Kingdom
Vadim V. Nikouline Finland
R. H. Jindra Austria
Muhammad Habib United States
Matthäus Staniek Germany
Dimitris A. Pinotsis United Kingdom
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Citations per field
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Oren Shriki · 1×
Citations per year

Countries citing papers authored by Daniel Chicharro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chicharro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 202091
3 200989
4 200978
5 201174
6 201049
7 201146
8 201245
9 201540
10 201236
11 200935
12 201629
13 201425
14 201119
15 201719
16 201718
17 201817
18 20146
19 20116
20 20215

About Daniel Chicharro

Daniel Chicharro is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Molecular Biology and Signal Processing, having authored 23 papers that have together received 823 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (6 papers), stochastic dynamics and bifurcation (6 papers), Complex Systems and Time Series Analysis (3 papers), Neuroscience and Neural Engineering (3 papers), EEG and Brain-Computer Interfaces (3 papers), Blind Source Separation Techniques (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (596 citations), Sensory Systems (78 citations), Cellular and Molecular Neuroscience (246 citations), Statistical and Nonlinear Physics (138 citations) and Signal Processing (67 citations). Daniel Chicharro has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Ralph G. Andrzejak, Florian Mormann, Stefano Panzeri, Thomas Kreuz, Anders Ledberg, Christian E. Elger, Conor Houghton, Klaus Lehnertz, Martin Greschner and David H. Brann. Their work appears in journals such as BMC Neuroscience, Journal of Neuroscience, Biological Cybernetics, Clinical Neurophysiology and Frontiers in Neuroinformatics.

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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