Paula L. Silva

100 total papers · 1.7k total citations
72 papers, 1.1k citations indexed

About

Paula L. Silva is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Paula L. Silva has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 29 papers in Cognitive Neuroscience and 26 papers in Orthopedics and Sports Medicine. Recurrent topics in Paula L. Silva's work include Motor Control and Adaptation (23 papers), Sports injuries and prevention (18 papers) and Muscle activation and electromyography studies (18 papers). Paula L. Silva is often cited by papers focused on Motor Control and Adaptation (23 papers), Sports injuries and prevention (18 papers) and Muscle activation and electromyography studies (18 papers). Paula L. Silva collaborates with scholars based in United States, Brazil and Australia. Paula L. Silva's co-authors include Sérgio T. Fonseca, Marisa Cotta Mancini, Juliana M. Ocarino, Thales R. Souza, Bruna S. Avelar, Paula Silva de Carvalho Chagas, Adam W. Kiefer, Vanessa Lara Araújo, Priscilla R. P. Figueiredo and Michael A. Riley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Paula L. Silva

70 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Paula L. Silva 412 315 259 225 133 72 1.1k
Anett Mau‐Moeller 328 0.8× 323 1.0× 144 0.6× 165 0.7× 82 0.6× 45 971
M. Melissa Gross 350 0.8× 368 1.2× 146 0.6× 121 0.5× 201 1.5× 46 1.3k
Líliam Fernandes de Oliveira 558 1.4× 539 1.7× 314 1.2× 126 0.6× 147 1.1× 70 1.4k
Lan-Yuen Guo 356 0.9× 338 1.1× 88 0.3× 203 0.9× 101 0.8× 82 1.2k
Jed A. Diekfuss 540 1.3× 298 0.9× 206 0.8× 222 1.0× 127 1.0× 100 1.1k
Thorsten Stein 294 0.7× 489 1.6× 208 0.8× 145 0.6× 90 0.7× 95 1.1k
Shuji Suzuki 227 0.6× 460 1.5× 305 1.2× 101 0.4× 57 0.4× 52 1.1k
Gregory M. Karst 432 1.0× 698 2.2× 425 1.6× 162 0.7× 83 0.6× 33 1.3k
David Barbado 683 1.7× 273 0.9× 139 0.5× 206 0.9× 101 0.8× 90 1.2k
D.W. Grieve 374 0.9× 526 1.7× 162 0.6× 78 0.3× 189 1.4× 37 1.0k

Countries citing papers authored by Paula L. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Paula L. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula L. Silva. 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 Paula L. Silva. The network helps show where Paula L. Silva may publish in the future.

Co-authorship network of co-authors of Paula L. Silva

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

All Works

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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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