Tamara Matuz

1.5k total citations
23 papers, 1.1k citations indexed

About

Tamara Matuz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Tamara Matuz has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Tamara Matuz's work include EEG and Brain-Computer Interfaces (15 papers), Neuroscience and Neural Engineering (10 papers) and Neural dynamics and brain function (6 papers). Tamara Matuz is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Neuroscience and Neural Engineering (10 papers) and Neural dynamics and brain function (6 papers). Tamara Matuz collaborates with scholars based in Germany, Italy and United States. Tamara Matuz's co-authors include Niels Birbaumer, Femke Nijboer, Sebastian Halder, Andrea Kübler, Adrian Furdea, Mathias Jordan, Theresa M. Vaughan, Dean J. Krusienski, Eric W. Sellers and Jürgen Mellinger and has published in prestigious journals such as PLoS ONE, Brain and Neuroscience.

In The Last Decade

Tamara Matuz

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tamara Matuz Germany 15 791 445 228 200 100 23 1.1k
Mohit Sharma United States 16 811 1.0× 294 0.7× 49 0.2× 30 0.1× 73 0.7× 36 1.0k
Marianna Cavinato Italy 16 495 0.6× 179 0.4× 258 1.1× 45 0.2× 86 0.9× 27 881
Adrian Furdea Germany 15 1.6k 2.0× 902 2.0× 68 0.3× 314 1.6× 223 2.2× 18 1.7k
Carolin A. Ruf Germany 12 862 1.1× 393 0.9× 58 0.3× 178 0.9× 96 1.0× 17 1.0k
Claudia Zickler Germany 7 546 0.7× 312 0.7× 66 0.3× 188 0.9× 54 0.5× 9 650
Jayant N. Acharya United States 17 631 0.8× 281 0.6× 156 0.7× 15 0.1× 59 0.6× 34 1.3k
Cheol E. Han South Korea 20 910 1.2× 75 0.2× 190 0.8× 47 0.2× 144 1.4× 50 1.5k
William Szurhaj France 18 909 1.1× 392 0.9× 214 0.9× 21 0.1× 151 1.5× 53 1.2k
Laura Carelli Italy 15 282 0.4× 79 0.2× 375 1.6× 94 0.5× 23 0.2× 53 802
Aljoscha Thomschewski Austria 20 638 0.8× 295 0.7× 106 0.5× 15 0.1× 66 0.7× 46 1.1k

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-authorship network of co-authors of Tamara Matuz

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Matuz. A scholar is included among the top collaborators of Tamara Matuz 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 Tamara Matuz. Tamara Matuz 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
1.
Schuster, Thomas, et al.. (2023). Spatial Neglect Therapy With the Augmented Reality App “Negami” for Active Exploration Training: A Randomized Controlled Trial on 20 Stroke Patients With Spatial Neglect. Archives of Physical Medicine and Rehabilitation. 104(12). 1987–1994. 3 indexed citations
2.
Ngo, Hong‐Viet V., et al.. (2020). Affective Cortical Asymmetry at the Early Developmental Emergence of Emotional Expression. eNeuro. 7(4). ENEURO.0042–20.2020. 1 indexed citations
3.
Matuz, Tamara, et al.. (2016). EEG Responses to Auditory Stimuli for Automatic Affect Recognition. Frontiers in Neuroscience. 10. 244–244. 25 indexed citations
4.
Matuz, Tamara, Niels Birbaumer, Martin Hautzinger, & Andrea Kübler. (2015). Psychosocial adjustment to ALS: a longitudinal study. Frontiers in Psychology. 6. 1197–1197. 36 indexed citations
5.
Muenssinger, Jana, Krunoslav Stingl, Tamara Matuz, et al.. (2013). Auditory habituation to simple tones: reduced evidence for habituation in children compared to adults. Frontiers in Human Neuroscience. 7. 377–377. 20 indexed citations
6.
Muenssinger, Jana, Tamara Matuz, Franziska Schleger, et al.. (2013). Sensitivity to Auditory Spectral Width in the Fetus and Infant – An fMEG Study. Frontiers in Human Neuroscience. 7. 917–917. 13 indexed citations
7.
Ruf, Carolin A., et al.. (2013). Semantic conditioning of salivary pH for communication. Artificial Intelligence in Medicine. 59(2). 91–98. 5 indexed citations
8.
Halder, Sebastian, Carolin A. Ruf, Adrian Furdea, et al.. (2013). Prediction of P300 BCI Aptitude in Severe Motor Impairment. PLoS ONE. 8(10). e76148–e76148. 14 indexed citations
9.
Massari, Daniele De, Carolin A. Ruf, Adrian Furdea, et al.. (2013). Brain communication in the locked-in state. Brain. 136(6). 1989–2000. 64 indexed citations
10.
Ruf, Carolin A., Daniele De Massari, Adrian Furdea, et al.. (2013). Semantic Classical Conditioning and Brain-Computer Interface Control: Encoding of Affirmative and Negative Thinking. Frontiers in Neuroscience. 7. 23–23. 14 indexed citations
11.
Matuz, Tamara, Rathinaswamy B. Govindan, Hubert Preißl, et al.. (2012). Habituation of visual evoked responses in neonates and fetuses: A MEG study. Developmental Cognitive Neuroscience. 2(3). 303–316. 30 indexed citations
12.
Massari, Daniele De, Tamara Matuz, Adrian Furdea, et al.. (2012). Brain–computer interface and semantic classical conditioning of communication in paralysis. Biological Psychology. 92(2). 267–274. 19 indexed citations
13.
Furdea, Adrian, Carolin A. Ruf, Sebastian Halder, et al.. (2011). A new (semantic) reflexive brain–computer interface: In search for a suitable classifier. Journal of Neuroscience Methods. 203(1). 233–240. 29 indexed citations
14.
Halder, Sebastian, Steve Lukito, Emanuele Pasqualotto, et al.. (2010). Universal Menu Design for BCI Applications. Neuroscience. 1 indexed citations
15.
Matuz, Tamara, et al.. (2010). Fetal magnetoencephalography—achievements and challenges in the study of prenatal and early postnatal brain responses: a review. Infant and Child Development. 19(1). 80–93. 27 indexed citations
16.
Escolano, Carmen, Ander Ramos‐Murguialday, Tamara Matuz, Niels Birbaumer, & Javier Mínguez. (2010). A telepresence robotic system operated with a P300-based brain-computer interface: Initial tests with ALS patients. PubMed. 2010. 4476–4480. 31 indexed citations
17.
Nijboer, Femke, Eric W. Sellers, Jürgen Mellinger, et al.. (2008). A P300-based brain–computer interface for people with amyotrophic lateral sclerosis. Clinical Neurophysiology. 119(8). 1909–1916. 468 indexed citations
18.
Nijboer, Femke, et al.. (2007). Depression and Anxiety in Individuals with Amyotrophic Lateral Sclerosis. CNS Drugs. 21(4). 279–291. 122 indexed citations
19.
Hinterberger, Thilo, Femke Nijboer, Andrea Kübler, et al.. (2007). Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach. The MIT Press eBooks. 43–64. 7 indexed citations
20.
Nijboer, Femke, et al.. (2006). Ethical, psychological and social implications of brain-computer interface application in paralyzed patients. National Conference on Artificial Intelligence. 48–50.

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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