David Brie

1.9k total citations
78 papers, 1.1k citations indexed

About

David Brie is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Brie has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 25 papers in Signal Processing and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Brie's work include Sparse and Compressive Sensing Techniques (20 papers), Blind Source Separation Techniques (19 papers) and Image and Signal Denoising Methods (17 papers). David Brie is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Blind Source Separation Techniques (19 papers) and Image and Signal Denoising Methods (17 papers). David Brie collaborates with scholars based in France, China and United States. David Brie's co-authors include Charles Soussen, Jérôme Idier, Junbo Duan, Sébastian Miron, Konstantin Usevich, Saïd Moussaoui, Xijing Guo, Pierre Comon, El‐Hadi Djermoune and Tom L. Richard and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Automatica.

In The Last Decade

David Brie

76 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Brie France 19 253 238 213 192 154 78 1.1k
Jianzhong Wang China 20 242 1.0× 368 1.5× 838 3.9× 207 1.1× 99 0.6× 134 1.7k
Zuoqiang Shi China 20 92 0.4× 285 1.2× 315 1.5× 52 0.3× 256 1.7× 71 1.2k
Liming Yang China 20 66 0.3× 188 0.8× 437 2.1× 87 0.5× 157 1.0× 104 1.3k
Andrew K. Chan United States 15 118 0.5× 51 0.2× 461 2.2× 125 0.7× 147 1.0× 61 1.1k
Maarten Jansen Belgium 15 104 0.4× 94 0.4× 603 2.8× 263 1.4× 54 0.4× 57 1.2k
Valérie Perrier France 13 109 0.4× 180 0.8× 288 1.4× 22 0.1× 356 2.3× 33 899
Laura Rebollo‐Neira United Kingdom 11 179 0.7× 276 1.2× 218 1.0× 32 0.2× 35 0.2× 48 822
Yiming Pi China 22 101 0.4× 292 1.2× 371 1.7× 208 1.1× 76 0.5× 177 1.8k
Manya Afonso Portugal 10 78 0.3× 473 2.0× 573 2.7× 209 1.1× 59 0.4× 18 1.3k
N. Sarkar India 7 74 0.3× 87 0.4× 634 3.0× 163 0.8× 34 0.2× 7 1.5k

Countries citing papers authored by David Brie

Since Specialization
Citations

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

Fields of papers citing papers by David Brie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Brie

This figure shows the co-authorship network connecting the top 25 collaborators of David Brie. A scholar is included among the top collaborators of David Brie 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 David Brie. David Brie 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.
Miron, Sébastian, et al.. (2023). Quaternions in Signal and Image Processing: A comprehensive and objective overview. IEEE Signal Processing Magazine. 40(6). 26–40. 27 indexed citations
3.
Usevich, Konstantin, et al.. (2022). Constrained Cramér–Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions. Signal Processing. 198. 108573–108573. 2 indexed citations
4.
Borsoi, Ricardo Augusto, et al.. (2021). Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE Journal of Selected Topics in Signal Processing. 15(3). 702–717. 43 indexed citations
5.
Miron, Sébastian, et al.. (2021). A General Framework for Constrained Convex Quaternion Optimization. IEEE Transactions on Signal Processing. 70. 254–267. 15 indexed citations
6.
Usevich, Konstantin, et al.. (2021). A tensor-based approach for training flexible neural networks. 2021 55th Asilomar Conference on Signals, Systems, and Computers. 1673–1677.
7.
Usevich, Konstantin, et al.. (2021). Learning nonlinearities in the decoupling problem with structured CPD. IFAC-PapersOnLine. 54(7). 685–690. 1 indexed citations
8.
Miron, Sébastian, et al.. (2020). Quaternion Non-Negative Matrix Factorization: Definition, Uniqueness, and Algorithm. IEEE Transactions on Signal Processing. 68. 1870–1883. 15 indexed citations
9.
Miron, Sébastian, et al.. (2020). A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images. HAL (Le Centre pour la Communication Scientifique Directe). 1514–1518. 2 indexed citations
10.
Song, Yingying, El‐Hadi Djermoune, Jie Chen, Cédric Richard, & David Brie. (2018). Online deconvolution for industrial hyperspectral imaging systems. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Barbieux, Claire, Charles Soussen, Sébastien Hupont, et al.. (2016). DDB2 (damaged-DNA binding 2) protein: a new modulator of nanomechanical properties and cell adhesion of breast cancer cells. Nanoscale. 8(9). 5268–5279. 12 indexed citations
12.
Duan, Junbo, Charles Soussen, David Brie, et al.. (2016). Generalized LASSO with under-determined regularization matrices. Signal Processing. 127. 239–246. 44 indexed citations
13.
Mustin, Christian, et al.. (2015). Multicolor Whole-Cell Bacterial Sensing Using a Synchronous Fluorescence Spectroscopy-Based Approach. PLoS ONE. 10(3). e0122848–e0122848. 5 indexed citations
14.
Soussen, Charles, et al.. (2014). Sequential deconvolution — Unmixing of blurred hyperspectral data. 5152–5156. 1 indexed citations
15.
Guo, Xijing, Sébastian Miron, & David Brie. (2012). The effect of polarization separation on the performance of Candecomp/Parafac-based vector sensor array processing. Physical Communication. 5(4). 289–295. 3 indexed citations
16.
Polyakov, Pavel, Charles Soussen, Junbo Duan, et al.. (2011). Automated Force Volume Image Processing for Biological Samples. PLoS ONE. 6(4). e18887–e18887. 91 indexed citations
17.
Djermoune, El‐Hadi, et al.. (2009). Modeling of MIG/MAG welding with experimental validation using an active contour algorithm applied on high speed movies. Applied Mathematical Modelling. 34(4). 1004–1020. 30 indexed citations
18.
Moussaoui, Saïd, David Brie, & Cédric Carteret. (2005). Non-negative source separation using the maximum likelihood approach. SPIRE - Sciences Po Institutional REpository. 401. 1114–1119. 5 indexed citations
19.
Cecchin, T., Dominique Sauter, David Brie, & Bernard J. Martin. (2005). On-line Separation Of Smooth Pursuit And Saccadic Eye Movements. 24. 777–778. 3 indexed citations
20.
Moussaoui, Saïd, David Brie, Olivier Caspary, & Ali Mohammad‐Djafari. (2004). A Bayesian method for positive source separation. SPIRE - Sciences Po Institutional REpository. 5. V–485. 17 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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