Manuela Pereira

141 total papers · 2.2k total citations
79 papers, 861 citations indexed

About

Manuela Pereira is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Signal Processing. According to data from OpenAlex, Manuela Pereira has authored 79 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 19 papers in Atomic and Molecular Physics, and Optics and 16 papers in Signal Processing. Recurrent topics in Manuela Pereira's work include Advanced Vision and Imaging (15 papers), Image and Video Quality Assessment (13 papers) and Video Coding and Compression Technologies (12 papers). Manuela Pereira is often cited by papers focused on Advanced Vision and Imaging (15 papers), Image and Video Quality Assessment (13 papers) and Video Coding and Compression Technologies (12 papers). Manuela Pereira collaborates with scholars based in Portugal, France and Switzerland. Manuela Pereira's co-authors include António Pinheiro, Marco V. Bernardo, Mário M. Freire, Touradj Ebrahimi, Paulo T. Fiadeiro, Hadi Amirpour, Evangelos Alexiou, Philippe Hanhart, Luís A. da Silva Cruz and Emil Dumić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Manuela Pereira

74 papers receiving 818 citations

Author Peers

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

Author Last Decade Papers Cites
Manuela Pereira 538 186 174 143 140 79 861
Michal Haindl 502 0.9× 59 0.3× 119 0.7× 77 0.5× 63 0.5× 85 726
António Pinheiro 652 1.2× 226 1.2× 228 1.3× 50 0.3× 108 0.8× 90 889
William F. Schreiber 649 1.2× 113 0.6× 236 1.4× 63 0.4× 285 2.0× 57 1.0k
Raja Bala 629 1.2× 184 1.0× 137 0.8× 145 1.0× 35 0.3× 63 870
Ishtiaq Rasool Khan 372 0.7× 88 0.5× 101 0.6× 77 0.5× 151 1.1× 89 822
Tao Luo 314 0.6× 45 0.2× 190 1.1× 90 0.6× 39 0.3× 107 1.0k
Bruce H. McCormick 359 0.7× 44 0.2× 41 0.2× 119 0.8× 42 0.3× 48 888
Junhao Zhang 460 0.9× 54 0.3× 114 0.7× 163 1.1× 28 0.2× 61 840
Hai Lin 290 0.5× 203 1.1× 28 0.2× 164 1.1× 37 0.3× 126 1.0k
R.J.P. deFigueiredo 405 0.8× 47 0.3× 44 0.3× 153 1.1× 76 0.5× 59 724

Countries citing papers authored by Manuela Pereira

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Pereira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Pereira

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