André Bigand

487 total citations
32 papers, 271 citations indexed

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 32 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 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), Image and Video Quality Assessment (5 papers) and Advanced Vision and Imaging (5 papers). André Bigand is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Image and Video Quality Assessment (5 papers) and Advanced Vision and Imaging (5 papers). André Bigand collaborates with scholars based in France, Lebanon and Tunisia. André Bigand's co-authors include Olivier Colot, Thi-Thu-Hong Phan, Alain Lefebvre, Ezzeddine Zagrouba, Denis Hamad, Thierry Bouwmans and Abdelmalik Taleb‐Ahmed and has published in prestigious journals such as Fuzzy Sets and Systems, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

André Bigand

29 papers receiving 258 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
André Bigand France 9 97 68 57 33 25 32 271
Deba Prasad Mandal India 12 48 0.5× 198 2.9× 28 0.5× 14 0.4× 15 0.6× 25 299
Vadim Romanuke Poland 9 60 0.6× 65 1.0× 56 1.0× 12 0.4× 21 0.8× 98 295
Jiwen Guan United Kingdom 4 54 0.6× 144 2.1× 46 0.8× 19 0.6× 13 0.5× 10 263
Xuhui Shao United States 7 71 0.7× 109 1.6× 45 0.8× 16 0.5× 7 0.3× 9 299
Taisong Xiong China 9 128 1.3× 193 2.8× 13 0.2× 41 1.2× 18 0.7× 18 367
Hung T. Nguyen United States 5 45 0.5× 171 2.5× 80 1.4× 16 0.5× 17 0.7× 9 343
Stéphane Puechmorel France 13 56 0.6× 59 0.9× 17 0.3× 33 1.0× 11 0.4× 34 544

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).

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.

Co-authorship network of co-authors of André Bigand

This figure shows the co-authorship network connecting the top 25 collaborators of André Bigand. A scholar is included among the top collaborators of André Bigand 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 André Bigand. André Bigand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bigand, André, et al.. (2023). Towards Explainability in Using Deep Learning for Face Detection in Paintings. SPIRE - Sciences Po Institutional REpository. 832–841. 1 indexed citations
2.
Bigand, André, et al.. (2023). A comprehensive survey on object detection in Visual Art: taxonomy and challenge. Multimedia Tools and Applications. 83(5). 14637–14670. 9 indexed citations
3.
Zagrouba, Ezzeddine, et al.. (2023). Explainable AI for Deep Learning Based Potato Leaf Disease Detection. SPIRE - Sciences Po Institutional REpository. 1–6. 6 indexed citations
4.
Bigand, André, et al.. (2021). Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy. Entropy. 23(1). 75–75. 7 indexed citations
5.
Bigand, André, et al.. (2021). New Challenges of Face Detection in Paintings based on Deep Learning. HAL (Le Centre pour la Communication Scientifique Directe). 311–320. 3 indexed citations
6.
Bigand, André, et al.. (2020). Comparative Study of Clustering Approaches Applied to Spatial or Temporal Pattern Discovery. Journal of Marine Science and Engineering. 8(9). 713–713. 2 indexed citations
7.
Bigand, André, et al.. (2020). On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination. Journal of Imaging. 6(9). 91–91. 4 indexed citations
8.
Bigand, André, et al.. (2018). Background Subtraction Based on a New Fuzzy Mixture of Gaussians for Moving Object Detection. Journal of Imaging. 4(7). 92–92. 20 indexed citations
9.
Phan, Thi-Thu-Hong, et al.. (2018). Comparative Study on Univariate Forecasting Methods for Meteorological Time Series. HAL (Le Centre pour la Communication Scientifique Directe). 2380–2384. 15 indexed citations
10.
Bigand, André, et al.. (2016). Perception of noise in global illumination based on inductive learning. 5021–5028. 2 indexed citations
11.
Bigand, André, et al.. (2015). Perception of noise in global illumination algorithms based on spiking neural network. 7665. 68–73. 2 indexed citations
12.
Bigand, André, et al.. (2015). Image noise detection in global illumination methods based on FRVM. Neurocomputing. 164. 82–95. 11 indexed citations
13.
Bigand, André, et al.. (2013). No-reference quality assessment in global illumination algorithms based on SVM. 2. 1–4. 1 indexed citations
14.
Bigand, André, et al.. (2012). A no-reference computer-generated images quality metric and its application to denoising. 11. 67–73. 6 indexed citations
15.
Bigand, André, et al.. (2006). Color Image Segmentation using Type-2 Fuzzy Sets. 52–57. 8 indexed citations
16.
Taleb‐Ahmed, Abdelmalik, et al.. (2004). Visual acuity of vision tested by fuzzy logic: An application in ophthalmology as a step towards a telemedicine project. Information Fusion. 5(3). 217–230. 5 indexed citations
17.
Taleb‐Ahmed, Abdelmalik & André Bigand. (2003). Telemedicine and fuzzy logic: application in ophthalmology. Pattern Recognition Letters. 24(15). 2731–2742. 4 indexed citations
18.
19.
Bigand, André, et al.. (2001). A new stereomatching algorithm based on linear features and the fuzzy integral. Pattern Recognition Letters. 22(2). 133–146. 3 indexed citations
20.
Bigand, André, et al.. (2001). Extraction of line segments from fuzzy images. Pattern Recognition Letters. 22(13). 1405–1418. 6 indexed citations

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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