Jaume Rigau

714 citations
24 papers · 396 · h-index 11

Impact in

Papers in

Jaume Rigau

21 papers receiving 379 citations

Peers

Jaume Rigau
Comparison fields: 5 of 72
  • Computer Graphics and Computer-Aided Design 47
  • Computer Vision and Pattern Recognition 246
  • Cognitive Neuroscience 170
  • Computational Mathematics 4
  • Sensory Systems 29
Replace Victoria Yanulevskaya with:
Victoria Yanulevskaya Italy
Peter Vangorp United Kingdom
Nathan Moroney United States
Michael Stokes United States
António Augusto de Sousa Portugal
Shannon M. Hughes United States
Mohamed–Chaker Larabi France
Dominique Thoreau France
Péter Tamás Kovács Finland
Nicolas Riche Belgium
Jaume Rigau relative to Victoria Yanulevskaya Italy Victoria Yanulevskaya's profile →
Citations per field
00.5×4.3×
Victoria Yanulevskaya · 1×
Citations per year

Countries citing papers authored by Jaume Rigau

Since Specialization
Citations

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

Fields of papers citing papers by Jaume Rigau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Jaume Rigau, 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 Jaume Rigau Line = papers co-authored together Jaume Rigau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200882
2 200953
3 200952
4 200536
5 200728
6 200926
7 200620
8 200920
9 200517
10 200316
11 201411
12 20088
13 20107
14 20095
15
Applications of Information Theory to Computer Graphics.
20075
16 20072
17 20112
18 20022
19 20001
20
Scene Visibility Complexity in Flatland
20071

About Jaume Rigau

Jaume Rigau is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, Computational Theory and Mathematics and Computational Mechanics, having authored 24 papers that have together received 396 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (10 papers), Computer Graphics and Visualization Techniques (7 papers), Medical Image Segmentation Techniques (6 papers), Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Aesthetic Perception and Analysis (6 papers), Computability, Logic, AI Algorithms (5 papers) and Digital Image Processing Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (47 citations), Computer Vision and Pattern Recognition (246 citations), Cognitive Neuroscience (170 citations), Computational Mathematics (4 citations) and Sensory Systems (29 citations). Jaume Rigau has collaborated with scholars based in Spain, Germany and Norway. Frequent co-authors include Miquel Feixas, Mateu Sbert, Christian Wallraven, Douglas W. Cunningham, Anton Bardera, Imma Boada, Roland W. Fleming, Ivan Viola, Miguel Chover and Qing Xu. Their work appears in journals such as Computers & Graphics, IEEE Computer Graphics and Applications, Graphical Models, IEEE Transactions on Image Processing and MPG.PuRe (Max Planck Society).

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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