Claudine Badué

110 total papers · 1.2k total citations
68 papers, 613 citations indexed

About

Claudine Badué is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Claudine Badué has authored 68 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 18 papers in Automotive Engineering. Recurrent topics in Claudine Badué's work include Autonomous Vehicle Technology and Safety (18 papers), Advanced Neural Network Applications (14 papers) and Robotics and Sensor-Based Localization (12 papers). Claudine Badué is often cited by papers focused on Autonomous Vehicle Technology and Safety (18 papers), Advanced Neural Network Applications (14 papers) and Robotics and Sensor-Based Localization (12 papers). Claudine Badué collaborates with scholars based in Brazil, United States and Chile. Claudine Badué's co-authors include Alberto F. De Souza, Thiago Oliveira-Santos, Rodrigo F. Berriel, Nívio Ziviani, Berthier Ribeiro‐Neto, Lucas Veronese, Ricardo Baeza‐Yates, Thiago M. Paixão, Patrick Marques Ciarelli and José Guivant and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Claudine Badué

63 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Claudine Badué 256 230 116 93 91 68 613
Satya Prakash Sahu 270 1.1× 166 0.7× 129 1.1× 63 0.7× 32 0.4× 47 662
Jun Li 251 1.0× 243 1.1× 25 0.2× 64 0.7× 57 0.6× 63 679
Stefan Schiffer 207 0.8× 180 0.8× 43 0.4× 62 0.7× 110 1.2× 52 607
Young‐Woo Seo 332 1.3× 140 0.6× 210 1.8× 42 0.5× 97 1.1× 28 679
Chang Hong Lin 314 1.2× 107 0.5× 110 0.9× 107 1.2× 20 0.2× 71 616
Yung-Yao Chen 359 1.4× 72 0.3× 48 0.4× 52 0.6× 49 0.5× 80 693
Rubén Izquierdo 195 0.8× 252 1.1× 301 2.6× 32 0.3× 37 0.4× 59 678
Javier Sedano 157 0.6× 199 0.9× 47 0.4× 111 1.2× 55 0.6× 64 695
Raja Muthalagu 95 0.4× 156 0.7× 64 0.6× 235 2.5× 47 0.5× 89 538
Chang‐Sung Jeong 220 0.9× 96 0.4× 26 0.2× 166 1.8× 93 1.0× 69 532

Countries citing papers authored by Claudine Badué

Since Specialization
Citations

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

Fields of papers citing papers by Claudine Badué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudine Badué

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