Pere‐Pau Vázquez

130 total papers · 1.5k total citations
80 papers, 881 citations indexed

About

Pere‐Pau Vázquez is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Pere‐Pau Vázquez has authored 80 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 30 papers in Computer Graphics and Computer-Aided Design and 10 papers in Computational Mechanics. Recurrent topics in Pere‐Pau Vázquez's work include Computer Graphics and Visualization Techniques (30 papers), Advanced Vision and Imaging (24 papers) and Data Visualization and Analytics (21 papers). Pere‐Pau Vázquez is often cited by papers focused on Computer Graphics and Visualization Techniques (30 papers), Advanced Vision and Imaging (24 papers) and Data Visualization and Analytics (21 papers). Pere‐Pau Vázquez collaborates with scholars based in Spain, Germany and Czechia. Pere‐Pau Vázquez's co-authors include Mateu Sbert, Miquel Feixas, Wolfgang Heidrich, Carlos Andújar, Isabel Navazo, Timo Ropinski, Àlvar Vinacua, Vı́ctor Guallar, Michael Krone and Jordi Marco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Pere‐Pau Vázquez

74 papers receiving 843 citations

Author Peers

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

Author						Papers	Cites
Pere‐Pau Vázquez	638	301	135	102	69	80	881
G. Scott Owen	385 0.6×	215 0.7×	203 1.5×	27 0.3×	26 0.4×	50	977
Craig S. Kaplan	406 0.6×	371 1.2×	234 1.7×	18 0.2×	26 0.4×	80	930
John Williams	339 0.5×	176 0.6×	246 1.8×	207 2.0×	36 0.5×	60	1000
Paul Rosen	395 0.6×	178 0.6×	73 0.5×	18 0.2×	18 0.3×	77	752
Pere Brunet	382 0.6×	537 1.8×	408 3.0×	51 0.5×	9 0.1×	70	915
Sudhir P. Mudur	464 0.7×	324 1.1×	310 2.3×	50 0.5×	7 0.1×	115	992
Zen Chen	520 0.8×	40 0.1×	85 0.6×	146 1.4×	21 0.3×	67	737
Hao Zhao	476 0.7×	58 0.2×	78 0.6×	92 0.9×	11 0.2×	45	740
David W. Capson	536 0.8×	44 0.1×	95 0.7×	114 1.1×	23 0.3×	80	877
Simone Melzi	444 0.7×	176 0.6×	409 3.0×	41 0.4×	58 0.8×	37	867

Countries citing papers authored by Pere‐Pau Vázquez

Since Specialization

Citations

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

Fields of papers citing papers by Pere‐Pau Vázquez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pere‐Pau Vázquez. 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 Pere‐Pau Vázquez. The network helps show where Pere‐Pau Vázquez may publish in the future.

Co-authorship network of co-authors of Pere‐Pau Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of Pere‐Pau Vázquez. A scholar is included among the top collaborators of Pere‐Pau Vázquez 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 Pere‐Pau Vázquez. Pere‐Pau Vázquez 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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