Mateu Sbert

4.7k total citations
198 papers, 2.7k citations indexed

About

Mateu Sbert is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Mateu Sbert has authored 198 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Computer Vision and Pattern Recognition, 84 papers in Computer Graphics and Computer-Aided Design and 30 papers in Computational Mechanics. Recurrent topics in Mateu Sbert's work include Computer Graphics and Visualization Techniques (82 papers), Advanced Vision and Imaging (60 papers) and 3D Shape Modeling and Analysis (28 papers). Mateu Sbert is often cited by papers focused on Computer Graphics and Visualization Techniques (82 papers), Advanced Vision and Imaging (60 papers) and 3D Shape Modeling and Analysis (28 papers). Mateu Sbert collaborates with scholars based in Spain, China and Hungary. Mateu Sbert's co-authors include Miquel Feixas, Imma Boada, Jaume Rigau, Pere‐Pau Vázquez, Wolfgang Heidrich, Anton Bardera, László Szirmay‐Kalos, Ivan Viola, Rubén García and Qing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Mateu Sbert

185 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateu Sbert Spain 25 1.8k 890 387 259 212 198 2.7k
Andrew Johnson United States 30 1.2k 0.7× 308 0.3× 601 1.6× 156 0.6× 250 1.2× 202 3.3k
John C. Hart United States 28 1.8k 1.0× 2.0k 2.2× 1.4k 3.6× 233 0.9× 110 0.5× 105 3.7k
Yoichi Sato Japan 43 4.5k 2.5× 837 0.9× 397 1.0× 599 2.3× 534 2.5× 246 6.6k
Dimitris Samaras United States 40 3.3k 1.8× 388 0.4× 442 1.1× 816 3.2× 280 1.3× 149 5.0k
Bo Sun China 24 904 0.5× 406 0.5× 214 0.6× 101 0.4× 89 0.4× 161 1.8k
Werner Purgathofer Austria 24 1.4k 0.8× 859 1.0× 398 1.0× 153 0.6× 100 0.5× 102 2.1k
Petros Daras Greece 33 2.3k 1.3× 223 0.3× 458 1.2× 113 0.4× 206 1.0× 249 3.7k
George Drettakis France 41 4.3k 2.4× 3.4k 3.9× 1.7k 4.4× 279 1.1× 297 1.4× 161 6.3k
Brian A. Barsky United States 27 1.2k 0.7× 1.0k 1.2× 1.4k 3.6× 115 0.4× 173 0.8× 87 3.0k
Steve Bryson United States 30 720 0.4× 294 0.3× 410 1.1× 220 0.8× 22 0.1× 118 2.9k

Countries citing papers authored by Mateu Sbert

Since Specialization
Citations

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

Fields of papers citing papers by Mateu Sbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateu Sbert

This figure shows the co-authorship network connecting the top 25 collaborators of Mateu Sbert. A scholar is included among the top collaborators of Mateu Sbert 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 Mateu Sbert. Mateu Sbert 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.
Rodríguez, Antonio, et al.. (2024). Non-photorealistic rendering as a feedback strategy in virtual reality for rehabilitation. Virtual Reality. 28(1). 1 indexed citations
2.
Sbert, Mateu & László Szirmay‐Kalos. (2023). A linear heuristic for multiple importance sampling. EURASIP Journal on Advances in Signal Processing. 2023(1).
3.
Chen, Min, Alfie Abdul‐Rahman, Deborah Silver, & Mateu Sbert. (2022). A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation. Entropy. 24(2). 282–282. 2 indexed citations
4.
Sbert, Mateu, et al.. (2021). Histogram Ordering. IEEE Access. 9. 28785–28796. 3 indexed citations
5.
Ancuti, Codruta O., Cosmin Ancuți, Christophe De Vleeschouwer, & Mateu Sbert. (2019). Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement. IEEE Transactions on Image Processing. 29. 2653–2665. 136 indexed citations
6.
Sbert, Mateu, et al.. (2019). Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval. Sensors. 19(2). 315–315. 6 indexed citations
7.
Sbert, Mateu, Min Chen, Jordi Poch, & Anton Bardera. (2018). Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence. Entropy. 20(12). 959–959. 3 indexed citations
8.
Ancuți, Cosmin, Codruta O. Ancuti, Christophe De Vleeschouwer, & Mateu Sbert. (2018). Decolorization by Fusion. IEEE Access. 6. 64071–64084. 3 indexed citations
9.
Maldonado, Pedro, et al.. (2017). Augmented film narrative by use of non-photorealistic rendering. 1–8. 4 indexed citations
10.
Xu, Qing, et al.. (2011). Noise reduction for path traced imaging of participating media. European Signal Processing Conference. 1683–1687. 1 indexed citations
11.
Sbert, Mateu, et al.. (2009). Speculative parallelization of multipath radiosity algorithm. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 41. 89–95. 1 indexed citations
12.
Sbert, Mateu, et al.. (2006). Reusing frames in camera animation. Digital Library (University of West Bohemia). 14. 97–104. 7 indexed citations
13.
Szirmay‐Kalos, László, et al.. (2005). Go with the winners strategy in path tracing. Digital Library (University of West Bohemia). 13. 49–56. 3 indexed citations
14.
Szirmay‐Kalos, László, et al.. (2005). Real-time multiple scattering in participating media with illumination networks. 277–282. 23 indexed citations
15.
Szirmay‐Kalos, László, et al.. (2004). Metropolis Iteration for Global Illumination.. Digital Library (University of West Bohemia). 451–458. 1 indexed citations
16.
Sbert, Mateu & John H. Halton. (2004). Reuse of paths in light source animation. 532–535. 5 indexed citations
17.
Vázquez, Pere‐Pau & Mateu Sbert. (2002). Automatic keyframe selection for high-quality image-based walkthrough animation using viewpoint entropy. International Conference in Central Europe on Computer Graphics and Visualization. 10(2). 461–468. 2 indexed citations
18.
Rigau, Jaume, Miquel Feixas, & Mateu Sbert. (2001). Visibility Complexity of Animation in Flatland. Digital Library (University of West Bohemia). 352–359.
19.
Vázquez, Pere‐Pau, Miquel Feixas, Mateu Sbert, & Wolfgang Heidrich. (2001). Viewpoint Selection using Viewpoint Entropy. Vision Modeling and Visualization. 273–280. 216 indexed citations
20.
Plemenos, Dimitri, et al.. (2000). Pyramidal Hemisphere Subdivision Radiosity. Formal Definition and Improvements. Digital Library (University of West Bohemia). 2 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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