Jacques Facon

87 total papers · 806 total citations
48 papers, 476 citations indexed

About

Jacques Facon is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jacques Facon has authored 48 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Jacques Facon's work include Image Retrieval and Classification Techniques (13 papers), Handwritten Text Recognition Techniques (12 papers) and Vehicle License Plate Recognition (7 papers). Jacques Facon is often cited by papers focused on Image Retrieval and Classification Techniques (13 papers), Handwritten Text Recognition Techniques (12 papers) and Vehicle License Plate Recognition (7 papers). Jacques Facon collaborates with scholars based in Brazil, Paraguay and Spain. Jacques Facon's co-authors include Laurent Najman, David Menotti, Horacio Legal-Ayala, José Luis Vázquez Noguera, Alessandro L. Koerich, Julio César Mello-Román, Dı́bio Leandro Borges, Flávio Bortolozzi, Miguel García-Torres and Carlos G. Adorno and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Jacques Facon

47 papers receiving 427 citations

Author Peers

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

Author Last Decade Papers Cites
Jacques Facon 326 149 63 51 34 48 476
D. Meyer‐Ebrecht 142 0.4× 34 0.2× 54 0.9× 73 1.4× 37 1.1× 44 449
Hrushikesh Garud 331 1.0× 165 1.1× 35 0.6× 31 0.6× 12 0.4× 18 406
D. Vijayalakshmi 161 0.5× 62 0.4× 68 1.1× 109 2.1× 42 1.2× 27 413
Juan Domingo 255 0.8× 39 0.3× 78 1.2× 73 1.4× 25 0.7× 45 425
Florent Autrusseau 363 1.1× 76 0.5× 23 0.4× 26 0.5× 6 0.2× 43 513
Prabhpreet Kaur 155 0.5× 60 0.4× 174 2.8× 181 3.5× 19 0.6× 43 493
L.W. Cahill 279 0.9× 126 0.8× 46 0.7× 40 0.8× 13 0.4× 38 543
Peng Zhao 244 0.7× 73 0.5× 95 1.5× 70 1.4× 6 0.2× 44 526
Zohair Al‐Ameen 401 1.2× 228 1.5× 45 0.7× 71 1.4× 4 0.1× 48 508
Yuhao Huang 234 0.7× 33 0.2× 126 2.0× 134 2.6× 7 0.2× 41 552

Countries citing papers authored by Jacques Facon

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Facon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Facon

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