Alexandre X. Falcão

9.9k total citations
255 papers, 5.4k citations indexed

About

Alexandre X. Falcão is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Alexandre X. Falcão has authored 255 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Computer Vision and Pattern Recognition, 50 papers in Artificial Intelligence and 48 papers in Electrical and Electronic Engineering. Recurrent topics in Alexandre X. Falcão's work include Medical Image Segmentation Techniques (89 papers), Advanced Image and Video Retrieval Techniques (57 papers) and Advanced Neural Network Applications (47 papers). Alexandre X. Falcão is often cited by papers focused on Medical Image Segmentation Techniques (89 papers), Advanced Image and Video Retrieval Techniques (57 papers) and Advanced Neural Network Applications (47 papers). Alexandre X. Falcão collaborates with scholars based in Brazil, United States and Netherlands. Alexandre X. Falcão's co-authors include João Paulo Papa, Roberto Lotufo, Jayaram K. Udupa, Ricardo da Silva Torres, Paulo A. V. Miranda, Jorge Stolfi, Celso Tetsuo Nagase Suzuki, Alexandru Telea, Renato O. Stehling and Mário A. Nascimento and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alexandre X. Falcão

242 papers receiving 5.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexandre X. Falcão Brazil 38 2.9k 1.4k 805 532 428 255 5.4k
Ueli Meier Switzerland 16 3.2k 1.1× 2.2k 1.6× 641 0.8× 859 1.6× 411 1.0× 17 6.8k
Peihua Li China 29 4.6k 1.6× 1.9k 1.4× 445 0.6× 1.2k 2.3× 460 1.1× 118 8.2k
Zhuang Liu China 16 4.5k 1.6× 2.7k 2.0× 437 0.5× 756 1.4× 308 0.7× 27 7.5k
Yunhe Wang China 29 5.0k 1.7× 2.0k 1.4× 557 0.7× 1.3k 2.5× 251 0.6× 88 7.4k
Qilong Wang China 21 4.3k 1.5× 1.9k 1.4× 389 0.5× 1.2k 2.3× 255 0.6× 67 7.3k
Sergey Karayev United States 9 5.9k 2.0× 2.3k 1.7× 644 0.8× 878 1.7× 479 1.1× 13 8.1k
Kai Han China 21 3.1k 1.1× 1.1k 0.8× 351 0.4× 652 1.2× 155 0.4× 48 5.0k
João Paulo Papa Brazil 46 1.7k 0.6× 2.8k 2.0× 1.2k 1.5× 507 1.0× 928 2.2× 287 7.8k
Mingxing Tan United States 16 4.2k 1.5× 1.2k 0.9× 475 0.6× 735 1.4× 130 0.3× 43 6.6k
Priya Goyal India 5 3.2k 1.1× 1.6k 1.1× 308 0.4× 676 1.3× 155 0.4× 9 6.3k

Countries citing papers authored by Alexandre X. Falcão

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre X. Falcão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre X. Falcão. 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 Alexandre X. Falcão. The network helps show where Alexandre X. Falcão may publish in the future.

Co-authorship network of co-authors of Alexandre X. Falcão

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

All Works

20 of 20 papers shown
1.
Falcão, Alexandre X., et al.. (2024). Human-in-the-loop: Using classifier decision boundary maps to improve pseudo labels. Computers & Graphics. 124. 104062–104062. 3 indexed citations
2.
Gomes, Jancarlo Ferreira, et al.. (2024). Consensus-based iterative meta-pseudo-labeling for deep semi-supervised learning. Information Sciences. 692. 121671–121671. 1 indexed citations
3.
Telea, Alexandru, et al.. (2023). Deep feature annotation by iterative meta-pseudo-labeling on 2D projections. Pattern Recognition. 141. 109649–109649. 7 indexed citations
4.
Falcão, Alexandre X., et al.. (2023). User-Assisted Design of a Neural Network for Brain Tumor Segmentation. 76–82. 1 indexed citations
5.
6.
Fracarolli, Juliana Aparecida, et al.. (2023). Biospeckle laser for assessing tomatoes ripeness indexes. Ciência Agronômica/Revista ciência agronômica. 15. 1 indexed citations
7.
Suzuki, Celso Tetsuo Nagase, et al.. (2023). Effects of Hypertonic Solutions on Two Species of Human Intestinal Parasites During Fecal Examination. Future Microbiology. 18(3). 197–203.
8.
Falcão, Alexandre X., et al.. (2023). Measuring the quality of projections of high-dimensional labeled data. Computers & Graphics. 116. 287–297. 1 indexed citations
9.
Falcão, Alexandre X., et al.. (2022). Improving color homogeneity measure in superpixel segmentation assessment. 79–84. 2 indexed citations
10.
Zanotta, Daniel Capella, Alexandre X. Falcão, Raquel Quadros Velloso, et al.. (2022). Hyperspectral data as a proxy for porosity estimation of carbonate rocks. Australian Journal of Earth Sciences. 69(6). 861–875. 2 indexed citations
11.
Bragantini, Jordão & Alexandre X. Falcão. (2022). Interactive Image Segmentation: From Graph-based Algorithms to Feature-Space Annotation. 48–54. 3 indexed citations
12.
Gomes, Jancarlo Ferreira, et al.. (2020). Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis. Pathogens. 9(2). 139–139. 18 indexed citations
13.
Suzuki, Celso Tetsuo Nagase, et al.. (2020). Automated diagnosis of intestinal parasites: A new hybrid approach and its benefits. Computers in Biology and Medicine. 123. 103917–103917. 16 indexed citations
14.
Piñeros, Miguel A., Brandon Larson, Jon E. Shaff, et al.. (2015). Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants. Journal of Integrative Plant Biology. 58(3). 230–241. 38 indexed citations
15.
Suzuki, Celso Tetsuo Nagase, et al.. (2013). Automated diagnosis of human intestinal parasites using optical microscopy images. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 460–463. 30 indexed citations
16.
Guido, Rodrigo Capobianco, et al.. (2011). Improving Parkinson's disease identification through evolutionary-based feature selection. PubMed. 2011. 7857–7860. 41 indexed citations
17.
Falcão, Alexandre X., et al.. (2010). A new CBIR approach based on relevance feedback and optimum-path forest classification. International Conference in Central Europe on Computer Graphics and Visualization. 18. 73–80. 13 indexed citations
18.
Miranda, Paulo A. V., Alexandre X. Falcão, Anderson Rocha, & Felipe P. G. Bergo. (2008). Object delineation by kappa-connected components. EURASIP Journal on Advances in Signal Processing. 1 indexed citations
19.
Papa, João Paulo, Alexandre X. Falcão, Paulo A. V. Miranda, Celso Tetsuo Nagase Suzuki, & Nelson D. A. Mascarenhas. (2007). Design of robust pattern classifiers based on optimum-path forests.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 337–348. 9 indexed citations
20.
Andaló, Fernanda, Paulo A. V. Miranda, Ricardo da Silva Torres, & Alexandre X. Falcão. (2007). A New Shape Descriptor Based on Tensor Scale.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 141–152. 5 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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