Pau Gargallo

32 total papers · 782 total citations
14 papers, 351 citations indexed

About

Pau Gargallo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Pau Gargallo has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computational Mechanics. Recurrent topics in Pau Gargallo's work include Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (3 papers). Pau Gargallo is often cited by papers focused on Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (3 papers). Pau Gargallo collaborates with scholars based in France, Spain and Sweden. Pau Gargallo's co-authors include Peter Sturm, Yubin Kuang, Emmanuel Prados, Manuel López-Antequera, Javier Civera, Søren Hauberg, Frederik Warburg, Javier González-Jiménez, Gloria Haro and Aurélie Bugeau and has published in prestigious journals such as Machine Vision and Applications, Multiscale Modeling and Simulation and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Pau Gargallo

14 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Pau Gargallo 302 140 66 40 38 14 351
Jasna Maver 290 1.0× 191 1.4× 36 0.5× 34 0.8× 77 2.0× 15 352
Martin Lambers 299 1.0× 224 1.6× 53 0.8× 25 0.6× 105 2.8× 26 400
Rik Fransens 347 1.1× 110 0.8× 41 0.6× 71 1.8× 57 1.5× 11 391
Cyril Zeller 286 0.9× 118 0.8× 72 1.1× 67 1.7× 35 0.9× 13 379
Olivier Saurer 291 1.0× 229 1.6× 25 0.4× 30 0.8× 76 2.0× 11 363
Klas Josephson 248 0.8× 168 1.2× 17 0.3× 34 0.8× 23 0.6× 9 296
Suryansh Kumar 245 0.8× 101 0.7× 67 1.0× 15 0.4× 45 1.2× 25 304
Nigel Morris 228 0.8× 65 0.5× 76 1.2× 86 2.1× 37 1.0× 14 317
Kevin Matzen 341 1.1× 100 0.7× 69 1.0× 88 2.2× 31 0.8× 7 373
Thomas Koninckx 318 1.1× 66 0.5× 44 0.7× 75 1.9× 83 2.2× 12 346

Countries citing papers authored by Pau Gargallo

Since Specialization
Citations

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

Fields of papers citing papers by Pau Gargallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Gargallo

This figure shows the co-authorship network connecting the top 25 collaborators of Pau Gargallo. A scholar is included among the top collaborators of Pau Gargallo 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 Pau Gargallo. Pau Gargallo 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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2026