Maria Martins

47 total papers · 723 total citations
36 papers, 499 citations indexed

About

Maria Martins is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Maria Martins has authored 36 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Maria Martins's work include Prosthetics and Rehabilitation Robotics (9 papers), Muscle activation and electromyography studies (9 papers) and Context-Aware Activity Recognition Systems (7 papers). Maria Martins is often cited by papers focused on Prosthetics and Rehabilitation Robotics (9 papers), Muscle activation and electromyography studies (9 papers) and Context-Aware Activity Recognition Systems (7 papers). Maria Martins collaborates with scholars based in Portugal, Brazil and Spain. Maria Martins's co-authors include Cristina P. Santos, Anselmo Frizera, R. Ceres, Anoop Balachandran, Lino Costa, Joseph F. Signorile, Eurico Seabra, Alexandre S. Brandão, Mário Sarcinelli-Filho and Viviane Pasqui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Experimental Gerontology and Computer Methods and Programs in Biomedicine.

In The Last Decade

Maria Martins

32 papers receiving 485 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Martins 252 116 108 83 57 36 499
Kap-Ho Seo 238 0.9× 137 1.2× 71 0.7× 94 1.1× 48 0.8× 78 549
Eric Wade 193 0.8× 72 0.6× 108 1.0× 209 2.5× 64 1.1× 47 553
Helios De Rosario 106 0.4× 72 0.6× 129 1.2× 55 0.7× 63 1.1× 47 575
Y. Higashi 123 0.5× 127 1.1× 122 1.1× 43 0.5× 90 1.6× 39 584
Tatsuya Ishihara 135 0.5× 130 1.1× 99 0.9× 22 0.3× 37 0.6× 41 554
Yoichi Iino 242 1.0× 93 0.8× 78 0.7× 35 0.4× 21 0.4× 25 610
Clemens Markus Brahms 194 0.8× 87 0.8× 144 1.3× 58 0.7× 47 0.8× 15 458
Neelesh Kumar 237 0.9× 50 0.4× 79 0.7× 157 1.9× 151 2.6× 40 546
J.-P. Verriest 265 1.1× 38 0.3× 150 1.4× 28 0.3× 44 0.8× 17 584
Ye Ma 206 0.8× 40 0.3× 71 0.7× 96 1.2× 85 1.5× 37 562

Countries citing papers authored by Maria Martins

Since Specialization
Citations

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

Fields of papers citing papers by Maria Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Martins. A scholar is included among the top collaborators of Maria Martins 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 Maria Martins. Maria Martins 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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