A. M. S. Muniz

11 total papers · 450 total citations
10 papers, 330 citations indexed

About

A. M. S. Muniz is a scholar working on Biomedical Engineering, Neurology and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, A. M. S. Muniz has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Neurology and 3 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in A. M. S. Muniz's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). A. M. S. Muniz is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). A. M. S. Muniz collaborates with scholars based in Brazil and United States. A. M. S. Muniz's co-authors include Jurandir Nadal, Rajesh Pahwa, Kelly E. Lyons, Flávio Fonseca Nobre, Weibo Liu, Rodrigo Rico Bini, Tatiana Kelly da Silva Fidalgo, Ivete Pomarico Ribeiro de Souza, Fábio C. L. Almeida and Liana Bastos Freitas‐Fernandes and has published in prestigious journals such as Journal of Biomechanics, Gait & Posture and Metabolomics.

In The Last Decade

A. M. S. Muniz

10 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
A. M. S. Muniz 148 78 64 56 41 10 330
Lorenzo Brognara 112 0.8× 114 1.5× 109 1.7× 46 0.8× 9 0.2× 27 341
Ondřej Ťupa 191 1.3× 60 0.8× 61 1.0× 21 0.4× 14 0.3× 18 355
Kirsten Seagers 156 1.1× 123 1.6× 40 0.6× 13 0.2× 19 0.5× 9 342
Ana Patrícia Rocha 90 0.6× 79 1.0× 45 0.7× 21 0.4× 39 1.0× 22 316
T. Yoshida 107 0.7× 82 1.1× 40 0.6× 14 0.3× 29 0.7× 17 341
Federico Parisi 156 1.1× 67 0.9× 140 2.2× 39 0.7× 77 1.9× 19 363
Rémi Barrois 103 0.7× 127 1.6× 24 0.4× 14 0.3× 13 0.3× 19 274
Maria Letizia Caminiti 96 0.6× 57 0.7× 177 2.8× 34 0.6× 14 0.3× 11 334
Marco Recenti 101 0.7× 23 0.3× 22 0.3× 31 0.6× 17 0.4× 25 343
Christina Lima 71 0.5× 36 0.5× 37 0.6× 36 0.6× 41 1.0× 7 344

Countries citing papers authored by A. M. S. Muniz

Since Specialization
Citations

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

Fields of papers citing papers by A. M. S. Muniz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. S. Muniz. 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 A. M. S. Muniz. The network helps show where A. M. S. Muniz may publish in the future.

Co-authorship network of co-authors of A. M. S. Muniz

This figure shows the co-authorship network connecting the top 25 collaborators of A. M. S. Muniz. A scholar is included among the top collaborators of A. M. S. Muniz 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 A. M. S. Muniz. A. M. S. Muniz 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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