Mateu Sbert

4.7k citations
198 papers · 2.7k indexed · h-index 25

Mateu Sbert

185 papers receiving 2.6k citations

Peers

Mateu Sbert
Comparison fields: 5 of 159
  • Computer Graphics and Computer-Aided Design 890
  • Computer Vision and Pattern Recognition 1.8k
  • Media Technology 212
  • Human-Computer Interaction 123
  • Computational Mechanics 387
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John C. Hart United States
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Citations per year

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

The 25 scholars most cited alongside Mateu Sbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mateu Sbert Line = papers co-authored together Mateu Sbert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20222
4 20213
5 2019136
6 20196
7 20183
8 20183
9 20174
10
Noise reduction for path traced imaging of participating media
20111
11
Speculative parallelization of multipath radiosity algorithm
20091
12
Reusing frames in camera animation
20067
13 200523
14
Go with the winners strategy in path tracing
20053
15 20045
16
Metropolis Iteration for Global Illumination.
20041
17
Automatic keyframe selection for high-quality image-based walkthrough animation using viewpoint entropy
20022
18
Visibility Complexity of Animation in Flatland
20010
19
Viewpoint Selection using Viewpoint Entropy
2001216
20
Pyramidal Hemisphere Subdivision Radiosity. Formal Definition and Improvements
20002

About Mateu Sbert

Mateu Sbert is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Signal Processing and Computational Mechanics, having authored 198 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (82 papers), Advanced Vision and Imaging (60 papers), 3D Shape Modeling and Analysis (28 papers), Advanced Image and Video Retrieval Techniques (22 papers), Image Retrieval and Classification Techniques (20 papers), Image Enhancement Techniques (20 papers), Medical Image Segmentation Techniques (17 papers) and Visual Attention and Saliency Detection (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (890 citations), Computer Vision and Pattern Recognition (1.8k citations), Media Technology (212 citations), Human-Computer Interaction (123 citations) and Computational Mechanics (387 citations). Mateu Sbert has collaborated with scholars based in Spain, China and Hungary. Frequent 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. Their work appears in journals such as Computer Graphics Forum, Computers & Graphics, The Visual Computer, IEEE Transactions on Visualization and Computer Graphics and IEEE Computer Graphics and Applications.

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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