Marcos Lage

71 total papers · 727 total citations
45 papers, 426 citations indexed

About

Marcos Lage is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Marcos Lage has authored 45 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Graphics and Computer-Aided Design and 12 papers in Signal Processing. Recurrent topics in Marcos Lage's work include Data Visualization and Analytics (21 papers), Computer Graphics and Visualization Techniques (13 papers) and Data Management and Algorithms (12 papers). Marcos Lage is often cited by papers focused on Data Visualization and Analytics (21 papers), Computer Graphics and Visualization Techniques (13 papers) and Data Management and Algorithms (12 papers). Marcos Lage collaborates with scholars based in Brazil, United States and Switzerland. Marcos Lage's co-authors include Claudio Silva, Fábio Miranda, Harish Doraiswamy, Hélio Lopes, Nivan Ferreira, Thomas Lewiner, Bruno Gonçalves, Kai Zhao, Fabiano Petronetto and Carlos A. Dietrich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and ACM Transactions on Graphics.

In The Last Decade

Marcos Lage

37 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Marcos Lage 211 84 61 59 58 45 426
Zhong Xie 123 0.6× 86 1.0× 60 1.0× 35 0.6× 54 0.9× 54 449
Fábio Miranda 166 0.8× 142 1.7× 64 1.0× 69 1.2× 14 0.2× 35 397
Qingnian Zhang 144 0.7× 50 0.6× 53 0.9× 12 0.2× 12 0.2× 61 442
Kevin Verbeek 216 1.0× 48 0.6× 114 1.9× 20 0.3× 79 1.4× 42 426
Prashant Goswami 99 0.5× 67 0.8× 32 0.5× 17 0.3× 155 2.7× 22 424
Vera Sacristán 61 0.3× 55 0.7× 127 2.1× 32 0.5× 83 1.4× 36 456
Paweł Bogusławski 80 0.4× 27 0.3× 29 0.5× 16 0.3× 59 1.0× 38 482
Sidonie Christophe 193 0.9× 17 0.2× 50 0.8× 58 1.0× 20 0.3× 44 490
Pei Dang 93 0.4× 29 0.3× 15 0.2× 36 0.6× 8 0.1× 32 431
Bingli Xu 85 0.4× 40 0.5× 40 0.7× 76 1.3× 10 0.2× 21 443

Countries citing papers authored by Marcos Lage

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Lage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Lage

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