Claudio Delrieux

320 total papers · 1.4k total citations
127 papers, 826 citations indexed

About

Claudio Delrieux is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Claudio Delrieux has authored 127 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Claudio Delrieux's work include Computer Graphics and Visualization Techniques (11 papers), Data Visualization and Analytics (11 papers) and 3D Shape Modeling and Analysis (8 papers). Claudio Delrieux is often cited by papers focused on Computer Graphics and Visualization Techniques (11 papers), Data Visualization and Analytics (11 papers) and 3D Shape Modeling and Analysis (8 papers). Claudio Delrieux collaborates with scholars based in Argentina, United States and Spain. Claudio Delrieux's co-authors include Gerardo M. E. Perillo, María Cintia Piccolo, Juan A. Fernández, Alejandro J. Vitale, Celia Cintas, Rolando González‐José, Manuel Molinos Molinos, Krešimir Matković, Carina Seitz and M. Eduard Gröller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Claudio Delrieux

101 papers receiving 787 citations

Author Peers

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

Author Last Decade Papers Cites
Claudio Delrieux 224 97 95 91 78 127 826
Jianguo Wang 87 0.4× 112 1.2× 78 0.8× 19 0.2× 46 0.6× 123 912
Gladimir V. G. Baranoski 138 0.6× 91 0.9× 180 1.9× 44 0.5× 16 0.2× 103 1.1k
Lionel Bombrun 175 0.8× 209 2.2× 172 1.8× 37 0.4× 21 0.3× 44 985
Xiaoping Du 195 0.9× 128 1.3× 238 2.5× 55 0.6× 20 0.3× 66 982
Sen Li 204 0.9× 133 1.4× 80 0.8× 41 0.5× 9 0.1× 70 867
Maurício Roberto Veronez 80 0.4× 216 2.2× 117 1.2× 25 0.3× 170 2.2× 121 922
Andrea Masiero 170 0.8× 311 3.2× 75 0.8× 27 0.3× 340 4.4× 110 948
Bülent Bayram 200 0.9× 280 2.9× 125 1.3× 145 1.6× 123 1.6× 65 815
Junxian Wang 166 0.7× 37 0.4× 44 0.5× 16 0.2× 26 0.3× 53 1000
B. S. Daya Sagar 117 0.5× 209 2.2× 62 0.7× 27 0.3× 24 0.3× 83 801

Countries citing papers authored by Claudio Delrieux

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Delrieux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Delrieux

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Delrieux. A scholar is included among the top collaborators of Claudio Delrieux 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 Claudio Delrieux. Claudio Delrieux 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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