Tamara Matuz

1.5k citations
23 papers · 1.1k · h-index 15

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Gaze Tracking and Assistive Technology

Papers in

Tamara Matuz

22 papers receiving 1.1k citations

Peers

Tamara Matuz
Comparison fields: 5 of 77
  • Cognitive Neuroscience 791
  • Human-Computer Interaction 200
  • Cellular and Molecular Neuroscience 445
  • Neurology 228
  • Genetics 80
Replace Laura Carelli with:
Laura Carelli Italy
Marianna Cavinato Italy
Adrian Furdea Germany
Mohit Sharma United States
Carolin A. Ruf Germany
Claudia Zickler Germany
Hans‐Peter Frey United States
Maurizio Sberna Italy
Stefanie Blain‐Moraes Canada
Kartik K. Iyer Australia
Tamara Matuz relative to Laura Carelli Italy Laura Carelli's profile →
Citations per field
00.5×5.6×
Laura Carelli · 1×
Citations per year

Countries citing papers authored by Tamara Matuz

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Matuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamara Matuz, 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 Tamara Matuz Line = papers co-authored together Tamara Matuz 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 2008468
2 2007122
3 201571
4 201364
5 201061
6 201340
7 201536
8 201031
9 201230
10 201129
11 201027
12 201625
13 201320
14 201219
15 201314
16 201314
17 201313
18 20077
19 20135
20 20233

About Tamara Matuz

Tamara Matuz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Experimental and Cognitive Psychology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Neuroscience and Neural Engineering (10 papers), Neural dynamics and brain function (6 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neuroscience and Music Perception (3 papers), Gaze Tracking and Assistive Technology (2 papers), Hearing Loss and Rehabilitation (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Cognitive Neuroscience (791 citations), Human-Computer Interaction (200 citations), Cellular and Molecular Neuroscience (445 citations), Neurology (228 citations) and Genetics (80 citations). Tamara Matuz has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Niels Birbaumer, Femke Nijboer, Sebastian Halder, Andrea Kübler, Adrian Furdea, Dean J. Krusienski, Mathias Jordan, Theresa M. Vaughan, Eric W. Sellers and Jonathan R. Wolpaw. Their work appears in journals such as Frontiers in Neuroscience, Frontiers in Human Neuroscience, Artificial Intelligence in Medicine, Clinical Neurophysiology and eNeuro.

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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