Mateus Espadoto

555 total citations
17 papers, 292 citations indexed

About

Mateus Espadoto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Mateus Espadoto has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Mateus Espadoto's work include Data Visualization and Analytics (8 papers), Neural Networks and Applications (3 papers) and Data Analysis with R (3 papers). Mateus Espadoto is often cited by papers focused on Data Visualization and Analytics (8 papers), Neural Networks and Applications (3 papers) and Data Analysis with R (3 papers). Mateus Espadoto collaborates with scholars based in Brazil, Netherlands and China. Mateus Espadoto's co-authors include Alexandru Telea, Nina S. T. Hirata, Andreas Kerren, Rafael M. Martins, Roberto Hirata, Carlos Henrique Grohmann, Lucas Pedrosa Soares, Alexandre X. Falcão, Erik Anderson and Remco Chang and has published in prestigious journals such as International Journal of Remote Sensing, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Mateus Espadoto

17 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mateus Espadoto Brazil	8	164	139	25	25	20	17	292
Dan Maljovec United States	7	219 1.3×	117 0.8×	42 1.7×	37 1.5×	60 3.0×	11	342
Danilo Barbosa Coimbra Brazil	6	284 1.7×	137 1.0×	62 2.5×	35 1.4×	18 0.9×	13	339
Paulo Joia Brazil	4	245 1.5×	103 0.7×	48 1.9×	24 1.0×	22 1.1×	6	280
Samuel G. Fadel Brazil	6	194 1.2×	158 1.1×	52 2.1×	26 1.0×	5 0.3×	9	332
S.X. Liao Canada	9	612 3.7×	73 0.5×	29 1.2×	14 0.6×	12 0.6×	13	691
Meer United States	4	261 1.6×	81 0.6×	26 1.0×	8 0.3×	3 0.1×	4	373
Shenghui Cheng China	7	134 0.8×	45 0.3×	26 1.0×	5 0.2×	12 0.6×	24	223
Hazem Hiary Jordan	11	163 1.0×	83 0.6×	10 0.4×	12 0.5×	31 1.6×	28	359
Silvio Jamil F. Guimarães Brazil	13	342 2.1×	85 0.6×	74 3.0×	13 0.5×	13 0.7×	75	443
Diwei Zhou United Kingdom	6	66 0.4×	63 0.5×	21 0.8×	4 0.2×	14 0.7×	24	315

Countries citing papers authored by Mateus Espadoto

Since Specialization

Citations

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

Fields of papers citing papers by Mateus Espadoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateus Espadoto

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

All Works

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17 of 17 papers shown

Soares, Lucas Pedrosa, et al.. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing. 44(7). 2168–2195. 12 indexed citations

Espadoto, Mateus, et al.. (2023). Visualizing High-Dimensional Functions with Dense Maps. SN Computer Science. 4(3). 2 indexed citations

Espadoto, Mateus, et al.. (2023). Stability Analysis of Supervised Decision Boundary Maps. SN Computer Science. 4(3). 2 indexed citations

Espadoto, Mateus, et al.. (2022). SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers. 77–87. 9 indexed citations

Kim, Youngjoo, Mateus Espadoto, S. C. Trager, Jos B. T. M. Roerdink, & Alexandru Telea. (2022). SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks. University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations

Espadoto, Mateus, et al.. (2022). HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters. Computer Graphics Forum. 41(3). 169–181. 8 indexed citations

Yu, Lingyun, et al.. (2021). Quantitative and Qualitative Comparison of 2D and 3D Projection Techniques for High-Dimensional Data. Information. 12(6). 239–239. 5 indexed citations

Espadoto, Mateus, et al.. (2021). Using multiple attribute-based explanations of multidimensional projections to explore high-dimensional data. Computers & Graphics. 98. 93–104. 11 indexed citations

Espadoto, Mateus, Nina S. T. Hirata, & Alexandru Telea. (2021). Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. University of Groningen research database (University of Groningen / Centre for Information Technology). 27–37. 7 indexed citations

10.

Espadoto, Mateus, Francisco A. Rodrigues, Nina S. T. Hirata, & Alexandru Telea. (2021). OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. 123–132. 5 indexed citations

11.

Espadoto, Mateus, et al.. (2020). Selecting and Sharing Multidimensional Projection Algorithms: A Practical View. University of Groningen research database (University of Groningen / Centre for Information Technology). 9–16. 2 indexed citations

12.

Espadoto, Mateus, Nina S. T. Hirata, Alexandre X. Falcão, & Alexandru Telea. (2020). Improving Neural Network-based Multidimensional Projections. 29–41. 3 indexed citations

13.

Espadoto, Mateus, et al.. (2020). Deep Learning for Astronomical Object Classification: A Case Study. 87–95. 7 indexed citations

14.

Espadoto, Mateus, Rafael M. Martins, Andreas Kerren, Nina S. T. Hirata, & Alexandru Telea. (2019). Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Transactions on Visualization and Computer Graphics. 27(3). 2153–2173. 182 indexed citations

15.

Espadoto, Mateus, et al.. (2019). Visual Analytics of Multidimensional Projections for Constructing Classifier Decision Boundary Maps. 28–38. 6 indexed citations

16.

Espadoto, Mateus, et al.. (2019). Constructing and Visualizing High-Quality Classifier Decision Boundary Maps. Information. 10(9). 280–280. 26 indexed citations

17.

Espadoto, Mateus, et al.. (2019). Deep Learning Inverse Multidimensional Projections. Eurographics. 4 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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