Jaume Rigau

42 total papers · 709 total citations
24 papers, 393 citations indexed

About

Jaume Rigau is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience. According to data from OpenAlex, Jaume Rigau has authored 24 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 6 papers in Cognitive Neuroscience. Recurrent topics in Jaume Rigau's work include Image Retrieval and Classification Techniques (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jaume Rigau is often cited by papers focused on Image Retrieval and Classification Techniques (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jaume Rigau collaborates with scholars based in Spain, Germany and Norway. Jaume Rigau's co-authors include Mateu Sbert, Miquel Feixas, Christian Wallraven, Douglas W. Cunningham, Anton Bardera, Imma Boada, Roland W. Fleming, Miguel Chover, Ivan Viola and Qing Xu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Computer Graphics and Applications and Computers & Graphics.

In The Last Decade

Jaume Rigau

21 papers receiving 374 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jaume Rigau	245	170	54	46	46	24	393
Victoria Yanulevskaya	251 1.0×	133 0.8×	67 1.2×	56 1.2×	11 0.2×	10	345
L. Sharan	206 0.8×	109 0.6×	42 0.8×	29 0.6×	22 0.5×	10	343
Seyed Ali Amirshahi	217 0.9×	175 1.0×	100 1.9×	9 0.2×	10 0.2×	39	423
Ilker Yildirim	136 0.6×	155 0.9×	38 0.7×	129 2.8×	24 0.5×	32	434
Anshul Jain	105 0.4×	124 0.7×	38 0.7×	50 1.1×	6 0.1×	28	334
Florin Cutzu	149 0.6×	276 1.6×	33 0.6×	14 0.3×	9 0.2×	14	395
John Wilder	177 0.7×	181 1.1×	24 0.4×	25 0.5×	4 0.1×	32	369
Swaminathan Gurumurthy	176 0.7×	107 0.6×	30 0.6×	91 2.0×	32 0.7×	13	354
Lei Yao	141 0.6×	94 0.6×	11 0.2×	68 1.5×	12 0.3×	31	352
Michael Stokes	275 1.1×	50 0.3×	60 1.1×	17 0.4×	34 0.7×	9	443

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-authorship network of co-authors of Jaume Rigau

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

All Works

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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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