F.N.S. Medeiros

69 total papers · 735 total citations
54 papers, 514 citations indexed

About

F.N.S. Medeiros is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, F.N.S. Medeiros has authored 54 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 15 papers in Aerospace Engineering. Recurrent topics in F.N.S. Medeiros's work include Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers), Image and Signal Denoising Methods (11 papers) and Image and Object Detection Techniques (10 papers). F.N.S. Medeiros is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers), Image and Signal Denoising Methods (11 papers) and Image and Object Detection Techniques (10 papers). F.N.S. Medeiros collaborates with scholars based in Brazil, United States and Ukraine. F.N.S. Medeiros's co-authors include Régis C. P. Marques, Daniela Ushizima, Romuere Silva, Rodrigo Veras, Flávio H. D. Araújo, Nelson D. A. Mascarenhas, Luis H. S. Vogado, Geraldo L. B. Ramalho, Pedro P. Rebouças Filho and Juvêncio S. Nobre and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

F.N.S. Medeiros

51 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
F.N.S. Medeiros	306	131	118	115	103	54	514
Eri Matsuyama	205 0.7×	111 0.8×	107 0.9×	34 0.3×	97 0.9×	24	463
Shaofeng Jiang	280 0.9×	65 0.5×	50 0.4×	216 1.9×	116 1.1×	60	610
Gary E. Ford	273 0.9×	87 0.7×	22 0.2×	34 0.3×	79 0.8×	60	486
Wallace Casaca	227 0.7×	86 0.7×	89 0.8×	19 0.2×	63 0.6×	57	527
Sixian Chan	287 0.9×	74 0.6×	56 0.5×	46 0.4×	37 0.4×	81	456
Shilpa Suresh	286 0.9×	198 1.5×	136 1.2×	25 0.2×	29 0.3×	45	545
Umamahesh Srinivas	184 0.6×	103 0.8×	141 1.2×	185 1.6×	27 0.3×	26	475
Franck Marzani	166 0.5×	62 0.5×	127 1.1×	58 0.5×	73 0.7×	58	579
Gang Wang	425 1.4×	29 0.2×	94 0.8×	309 2.7×	80 0.8×	44	610
Javier Sánchez	466 1.5×	101 0.8×	34 0.3×	76 0.7×	34 0.3×	39	608

Countries citing papers authored by F.N.S. Medeiros

Since Specialization

Citations

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

Fields of papers citing papers by F.N.S. Medeiros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.N.S. Medeiros. 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 F.N.S. Medeiros. The network helps show where F.N.S. Medeiros may publish in the future.

Co-authorship network of co-authors of F.N.S. Medeiros

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