Daniela Virgínia Vaz

77 total papers · 938 total citations
54 papers, 627 citations indexed

About

Daniela Virgínia Vaz is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Daniela Virgínia Vaz has authored 54 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 13 papers in Cognitive Neuroscience and 10 papers in Rehabilitation. Recurrent topics in Daniela Virgínia Vaz's work include Cerebral Palsy and Movement Disorders (29 papers), Stroke Rehabilitation and Recovery (10 papers) and Botulinum Toxin and Related Neurological Disorders (9 papers). Daniela Virgínia Vaz is often cited by papers focused on Cerebral Palsy and Movement Disorders (29 papers), Stroke Rehabilitation and Recovery (10 papers) and Botulinum Toxin and Related Neurological Disorders (9 papers). Daniela Virgínia Vaz collaborates with scholars based in Brazil, United States and United Kingdom. Daniela Virgínia Vaz's co-authors include Marisa Cotta Mancini, Sérgio T. Fonseca, Marina B. Brandão, Danielle Soares Rocha Vieira, Claire F. Michaels, Claudia Carello, Paula L. Silva, Rosana Ferreira Sampaio, David M. Jacobs and Fabiane Ribeiro Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Psychology Human Perception & Performance and Physical Therapy.

In The Last Decade

Daniela Virgínia Vaz

50 papers receiving 606 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniela Virgínia Vaz 310 127 116 105 101 54 627
Chen Wang 327 1.1× 136 1.1× 113 1.0× 95 0.9× 140 1.4× 40 705
Maxime T. Robert 297 1.0× 179 1.4× 102 0.9× 41 0.4× 90 0.9× 46 585
Devrim Tarakçı 272 0.9× 202 1.6× 78 0.7× 82 0.8× 41 0.4× 59 638
Yumi Kim 273 0.9× 245 1.9× 95 0.8× 56 0.5× 60 0.6× 41 601
Simona Bar‐Haim 292 0.9× 92 0.7× 73 0.6× 97 0.9× 130 1.3× 39 555
Pamela Richardson 329 1.1× 69 0.5× 43 0.4× 85 0.8× 75 0.7× 43 772
Inmaculada Riquelme 430 1.4× 89 0.7× 117 1.0× 152 1.4× 230 2.3× 55 767
Jason R. Wingert 374 1.2× 151 1.2× 159 1.4× 50 0.5× 130 1.3× 19 680
Ana Raquel Rodrigues Lindquist 363 1.2× 381 3.0× 158 1.4× 40 0.4× 78 0.8× 55 719
Mariana Callil Voos 200 0.6× 66 0.5× 151 1.3× 47 0.4× 33 0.3× 62 588

Countries citing papers authored by Daniela Virgínia Vaz

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Virgínia Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Virgínia Vaz

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026