Max Mignotte

4.7k total citations · 1 hit paper
147 papers, 3.1k citations indexed

About

Max Mignotte is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Max Mignotte has authored 147 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 38 papers in Media Technology and 22 papers in Artificial Intelligence. Recurrent topics in Max Mignotte's work include Medical Image Segmentation Techniques (49 papers), Remote-Sensing Image Classification (28 papers) and Image Retrieval and Classification Techniques (19 papers). Max Mignotte is often cited by papers focused on Medical Image Segmentation Techniques (49 papers), Remote-Sensing Image Classification (28 papers) and Image Retrieval and Classification Techniques (19 papers). Max Mignotte collaborates with scholars based in Canada, France and United States. Max Mignotte's co-authors include Lazhar Khelifi, Redha Touati, Patrick Bouthémy, Patrick Pérez, C. Collet, Mohamed Dahmane, Jean Meunier, S. Benameur, Jacques A. de Guise and Pierre‐Marc Jodoin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Max Mignotte

141 papers receiving 2.9k citations

Hit Papers

Deep Learning for Change ... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis
    2020 288 citations Max Mignotte et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Max Mignotte 1.4k 1.1k 521 416 338 147 3.1k
Min Wang 1.4k 1.0× 1.3k 1.2× 843 1.6× 252 0.6× 272 0.8× 205 3.5k
Pierre Alliez 2.4k 1.7× 573 0.5× 344 0.7× 207 0.5× 178 0.5× 101 7.5k
Henri Maı̂tre 1.6k 1.1× 854 0.8× 273 0.5× 249 0.6× 120 0.4× 153 3.1k
Guillaume Charpiat 527 0.4× 476 0.4× 175 0.3× 253 0.6× 116 0.3× 24 1.7k
Chandra Kambhamettu 1.6k 1.1× 228 0.2× 358 0.7× 248 0.6× 225 0.7× 195 3.1k
Anthony Yezzi 4.9k 3.4× 487 0.4× 711 1.4× 87 0.2× 637 1.9× 188 6.7k
Jean‐Yves Tourneret 1.5k 1.1× 2.4k 2.2× 1.1k 2.1× 587 1.4× 532 1.6× 242 5.3k
Laurent Najman 2.8k 2.0× 664 0.6× 693 1.3× 95 0.2× 234 0.7× 95 4.2k
Hamid Krim 1.6k 1.1× 535 0.5× 437 0.8× 61 0.1× 346 1.0× 185 6.0k
L.D. Hostetler 1.2k 0.9× 322 0.3× 882 1.7× 106 0.3× 110 0.3× 16 2.6k

Countries citing papers authored by Max Mignotte

Since Specialization
Citations

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

Fields of papers citing papers by Max Mignotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Mignotte

This figure shows the co-authorship network connecting the top 25 collaborators of Max Mignotte. A scholar is included among the top collaborators of Max Mignotte 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 Max Mignotte. Max Mignotte 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.
2.
Mignotte, Max. (2023). Saliency Map Estimation Using a Pixel-Pairwise-Based Unsupervised Markov Random Field Model. Mathematics. 11(4). 986–986. 1 indexed citations
3.
Touati, Redha & Max Mignotte. (2014). MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition. 262–267. 14 indexed citations
4.
Mignotte, Max, et al.. (2011). On px2+q2n=yp and related Diophantine equations. Journal of Number Theory. 131(9). 1575–1596. 3 indexed citations
5.
Benameur, S., Max Mignotte, Jean Meunier, & Jean‐Paul Soucy. (2009). Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT‐MRI Images. International Journal of Biomedical Imaging. 2009(1). 843160–843160. 2 indexed citations
6.
Benameur, S., Max Mignotte, Hubert Labelle, & Jacques A. de Guise. (2005). A Hierarchical Statistical Modeling Approach for the Unsupervised 3-D Biplanar Reconstruction of the Scoliotic Spine. IEEE Transactions on Biomedical Engineering. 52(12). 2041–2057. 80 indexed citations
7.
Laliberté, Jean‐François, Jean Meunier, Max Mignotte, & Jean‐Paul Soucy. (2004). Detection of diffuse abnormal perfusion in SPECT using a normal brain atlas. NeuroImage. 23(2). 561–568. 8 indexed citations
8.
Benameur, S., Max Mignotte, Stefan Parent, et al.. (2003). 3D/2D registration and segmentation of scoliotic vertebrae using statistical models. Computerized Medical Imaging and Graphics. 27(5). 321–337. 116 indexed citations
9.
Destrempes, François & Max Mignotte. (2002). Unsupervised Statistical Method for Edgel Clustering With Applications to Shape Localization.. 1 indexed citations
10.
Mignotte, Max & Attila Pethő. (1999). On the diophantine equation x[p] - x = y[q] - y. Publicacions Matemàtiques. 43(1). 207–216. 6 indexed citations
11.
Mignotte, Max & T. N. Shorey. (1996). The equations (x + 1) … (x + k) = (y + 1) … (y + mk), m = 5,6. Indagationes Mathematicae. 7(2). 215–225. 1 indexed citations
12.
Mignotte, Max. (1995). A Criterion On Catalan′s Equation. Journal of Number Theory. 52(2). 280–283. 11 indexed citations
13.
Mignotte, Max & Michel Waldschmidt. (1994). On Algebraic Numbers of Small Height: Linear Forms in One Logarithm. Journal of Number Theory. 47(1). 43–62. 17 indexed citations
14.
Mignotte, Max, et al.. (1993). Arithmetical study of a certain ternary recurrence sequence and related questions. Mathematics of Computation. 61(204). 901–913.
15.
Mignotte, Max. (1993). Verification of a Conjecture of E. Thomas. Journal of Number Theory. 44(2). 172–177. 31 indexed citations
16.
Mignotte, Max, et al.. (1991). On a family of cubics. Journal of Number Theory. 39(1). 41–49. 21 indexed citations
17.
Mignotte, Max, et al.. (1987). Computing the measure of a polynomial. Journal of Symbolic Computation. 4(1). 21–33. 21 indexed citations
18.
Mignotte, Max, et al.. (1983). Statistiques sur $\mathbb {F}_q [X]$. French digital mathematics library (Numdam). 19(2). 113–121. 1 indexed citations
19.
Mignotte, Max. (1978). Intersection des images de certaines suites récurrentes linéaires. Theoretical Computer Science. 7(1). 117–121. 15 indexed citations
20.
Mignotte, Max. (1974). An inequality about factors of polynomials. Mathematics of Computation. 28(128). 1153–1157. 78 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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