Rubens Machado

539 total citations
17 papers, 309 citations indexed

About

Rubens Machado is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Rubens Machado has authored 17 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Information Systems and Management and 4 papers in Artificial Intelligence. Recurrent topics in Rubens Machado's work include Scientific Computing and Data Management (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Computational Physics and Python Applications (4 papers). Rubens Machado is often cited by papers focused on Scientific Computing and Data Management (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Computational Physics and Python Applications (4 papers). Rubens Machado collaborates with scholars based in Brazil, United States and France. Rubens Machado's co-authors include Roberto Lotufo, Rodrigo Nogueira, Letícia Rittner, Roberto Souza, Alberto Elfes, Marcel Bergerman, Alexandre Gonçalves Silva, Samuel S. Bueno, Mariana Bento and Alexandre X. Falcão and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Forensics and Security and SoftwareX.

In The Last Decade

Rubens Machado

16 papers receiving 295 citations

Peers

Rubens Machado
Rubens Machado
Citations per year, relative to Rubens Machado Rubens Machado (= 1×) peers Xunqiang Tao

Countries citing papers authored by Rubens Machado

Since Specialization
Citations

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

Fields of papers citing papers by Rubens Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubens Machado

This figure shows the co-authorship network connecting the top 25 collaborators of Rubens Machado. A scholar is included among the top collaborators of Rubens Machado 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 Rubens Machado. Rubens Machado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Souza, Roberto, Letícia Rittner, Rubens Machado, & Roberto Lotufo. (2017). iamxt: Max-tree toolbox for image processing and analysis. SoftwareX. 6. 81–84. 6 indexed citations
2.
Nogueira, Rodrigo, Roberto Lotufo, & Rubens Machado. (2016). Fingerprint Liveness Detection Using Convolutional Neural Networks. IEEE Transactions on Information Forensics and Security. 11(6). 1206–1213. 236 indexed citations
3.
4.
Rittner, Letícia, et al.. (2015). Web-based platform for collaborative medical imaging research. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 94180B–94180B. 2 indexed citations
5.
Souza, Roberto, Letícia Rittner, Roberto Lotufo, & Rubens Machado. (2015). An array-based node-oriented max-tree representation. 3620–3624. 11 indexed citations
6.
Souza, Roberto, et al.. (2015). Interactive max-tree visualization tool for image processing and analysis. 10. 119–124. 8 indexed citations
7.
Souza, Roberto, Letícia Rittner, Rubens Machado, & Roberto Lotufo. (2014). Maximal Max-Tree Simplification. 1. 3132–3137. 5 indexed citations
8.
Machado, Rubens, Letícia Rittner, & Roberto Lotufo. (2011). Adessowiki - Collaborative platform for writing executable papers. Procedia Computer Science. 4. 759–767. 4 indexed citations
9.
Rittner, Letícia, et al.. (2011). Adessowiki: Collaborative Scientific Programming Environment. 56–62. 1 indexed citations
10.
Lotufo, Roberto, et al.. (2009). Adessowiki on-line collaborative scientific programming platform. 1–6. 11 indexed citations
11.
Silva, Alexandre Gonçalves, et al.. (2004). Toolbox of image processing using the Python language. 2. III–1049. 4 indexed citations
12.
Machado, Rubens, et al.. (2003). ADESSO : Scientific software development environment. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Machado, Rubens & Roberto Lotufo. (2002). Adesso : ambiente para desenvolvimento de software cientifico. Americanae (AECID Library). 3 indexed citations
14.
Lotufo, Roberto, et al.. (2002). Prontovideo: an image sequence segmentation tool applied to video edition. 404–404. 2 indexed citations
15.
Silva, Alexandre Gonçalves, Roberto Lotufo, & Rubens Machado. (2002). Toolbox of image processing for numerical Python. 402–402. 3 indexed citations
16.
Bergerman, Marcel, et al.. (2002). A robotics and computer vision virtual laboratory. se 11. 694–699. 8 indexed citations
17.
Machado, Rubens, et al.. (1992). Contribuição ao estudo geoquímico e tectónico da granitogênese brasiliana no estado do Rio de Janeiro. 0(12). 73–73. 1 indexed citations

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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