Sara Gonzalez

2.1k total citations · 1 hit paper
11 papers, 1.6k citations indexed

About

Sara Gonzalez is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sara Gonzalez has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Sara Gonzalez's work include Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Visual perception and processing mechanisms (2 papers). Sara Gonzalez is often cited by papers focused on Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Visual perception and processing mechanisms (2 papers). Sara Gonzalez collaborates with scholars based in Switzerland, United States and Cuba. Sara Gonzalez's co-authors include Rolando Grave de Peralta, Christoph M. Michel, Laurent Spinelli, Göran Lantz, Micah M. Murray, Théodor Landis, Gregor Thut, Stéphanie Morand, Asaid Khateb and Margitta Seeck and has published in prestigious journals such as NeuroImage, Brain Research Reviews and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Sara Gonzalez

10 papers receiving 1.6k citations

Hit Papers

EEG source imaging 2004 2026 2011 2018 2004 400 800 1.2k

Peers

Sara Gonzalez
Comparison fields: 5 of 97
  • Cognitive Neuroscience 1.4k
  • Radiology, Nuclear Medicine and Imaging 204
  • Psychiatry and Mental health 182
  • Experimental and Cognitive Psychology 175
  • Signal Processing 174
Replace Jorge Bosch‐Bayard with:
Jorge Bosch‐Bayard Cuba
M.L.A. Jongsma Netherlands
Daniel Strohmeier Germany
Cheryl J. Aine United States
Anna Korzeniewska United States
Sean P. Fitzgibbon United Kingdom
Martin Luessi United States
Matthias Moosmann Norway
Li Dong China
Rolando Grave de Peralta Menéndez Switzerland
Jorge Bosch‐Bayard Cuba View profile →
Citations per field, relative to Sara Gonzalez
Sara Gonzalez · 1×
Citations per year, relative to Sara Gonzalez
Sara Gonzalez · 1×

Countries citing papers authored by Sara Gonzalez

Since Specialization
Citations

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

Fields of papers citing papers by Sara Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Gonzalez

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 15
2 9
3 8
4 1
5 11
6 0
7 45
8
EEG source imaging breakdown →
1281
9 208
10 27
11 40

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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