Daniela Mattos

805 citations
21 papers · 463 · h-index 10

Impact in

Papers in

Daniela Mattos

21 papers receiving 450 citations

Peers

Daniela Mattos
Comparison fields: 5 of 52
  • Physical Therapy, Sports Therapy and Rehabilitation 144
  • Cognitive Neuroscience 362
  • Biomedical Engineering 304
  • Orthopedics and Sports Medicine 58
  • Social Psychology 105
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Tarkeshwar Singh United States
József Laczkó Hungary
Ali Falaki United States
Simon R. Goodman United States
Masahiro Shinya Japan
Shota Hagio Japan
Dmitry Domkin Sweden
Halla Olafsdottir United States
Kenji Kunita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Mattos

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mattos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 201564
3 201647
4 201142
5 201432
6 201331
7 201928
8 201628
9 201518
10 20219
11 20109
12 20178
13 20177
14 20087
15 20235
16 20125
17 20114
18 20204
19 20223
20 20222

About Daniela Mattos

Daniela Mattos is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 463 indexed citations. Recurring topics across this work include Motor Control and Adaptation (12 papers), Balance, Gait, and Falls Prevention (8 papers), Muscle activation and electromyography studies (8 papers), Sports Performance and Training (4 papers), EEG and Brain-Computer Interfaces (3 papers), Stroke Rehabilitation and Recovery (2 papers), Functional Brain Connectivity Studies (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (144 citations), Cognitive Neuroscience (362 citations), Biomedical Engineering (304 citations), Orthopedics and Sports Medicine (58 citations) and Social Psychology (105 citations). Daniela Mattos has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Mark L. Latash, Vladimir M. Zatsiorsky, Satyajit Ambike, J. P. Scholz, Jonathan Ache Dias, Gregor Schöner, John P. Scholz, Daniela Virgínia Vaz, Márcio Fagundes Goethel and Elisabeth B. Lucassen. Their work appears in journals such as Motor Control, Experimental Brain Research, Journal of Motor Behavior, Neuroscience and Polymer Composites.

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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