André Bigand

About

André Bigand is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, André Bigand has authored 22 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in André Bigand’s work include Time Series Analysis and Forecasting (5 papers), Advanced Vision and Imaging (4 papers) and Computer Graphics and Visualization Techniques (3 papers). André Bigand is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Advanced Vision and Imaging (4 papers) and Computer Graphics and Visualization Techniques (3 papers). André Bigand collaborates with scholars based in France, Lebanon and Vietnam. André Bigand's co-authors include Olivier Colot, Thi-Thu-Hong Phan, Alain Lefebvre, Abdelmalik Taleb‐Ahmed, Denis Hamad, Ezzeddine Zagrouba and Thierry Bouwmans and has published in prestigious journals such as Fuzzy Sets and Systems, Neurocomputing and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of André Bigand i

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Fields of papers citing papers by André Bigand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by André Bigand

Since Specialization

Citations

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

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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