Yves Delignon

948 total citations
33 papers, 575 citations indexed

About

Yves Delignon is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yves Delignon has authored 33 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yves Delignon's work include Bayesian Methods and Mixture Models (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers) and Remote-Sensing Image Classification (6 papers). Yves Delignon is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers) and Remote-Sensing Image Classification (6 papers). Yves Delignon collaborates with scholars based in France, United Kingdom and Norway. Yves Delignon's co-authors include Wojciech Pieczynski, François Septier, Marc Sigelle, Florence Tupin, Gareth W. Peters, Roberto Garello, Patrick Armand, Jacques Moussafir, Ido Nevat and R. Garello and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Yves Delignon

30 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yves Delignon France 11 180 151 144 108 89 33 575
George A. Lampropoulos Canada 13 100 0.6× 97 0.6× 133 0.9× 327 3.0× 135 1.5× 60 674
S. Golden United States 7 98 0.5× 158 1.0× 53 0.4× 72 0.7× 177 2.0× 12 482
Kie B. Eom United States 13 122 0.7× 278 1.8× 222 1.5× 52 0.5× 27 0.3× 39 605
A. Moghaddamjoo United States 11 96 0.5× 72 0.5× 73 0.5× 56 0.5× 38 0.4× 33 391
Ajith Gunatilaka Australia 14 227 1.3× 75 0.5× 30 0.2× 95 0.9× 41 0.5× 42 737
Sze Kim Pang United Kingdom 9 358 2.0× 114 0.8× 23 0.2× 116 1.1× 51 0.6× 14 515
Xin Zheng China 11 94 0.5× 156 1.0× 55 0.4× 45 0.4× 116 1.3× 64 591
Tod Luginbuhl United States 12 558 3.1× 98 0.6× 32 0.2× 183 1.7× 69 0.8× 29 718
Teerasit Kasetkasem Thailand 12 329 1.8× 170 1.1× 386 2.7× 82 0.8× 185 2.1× 67 1.1k
Emmanuel Duflos France 14 391 2.2× 103 0.7× 19 0.1× 393 3.6× 229 2.6× 40 896

Countries citing papers authored by Yves Delignon

Since Specialization
Citations

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

Fields of papers citing papers by Yves Delignon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Delignon

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Delignon. A scholar is included among the top collaborators of Yves Delignon 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 Yves Delignon. Yves Delignon 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.
Delignon, Yves, et al.. (2018). Probabilistic modelling of printed dots at the microscopic scale. Signal Processing Image Communication. 62. 129–138. 7 indexed citations
2.
Septier, François, et al.. (2015). An adaptive Bayesian inference algorithm to estimate the parameters of a hazardous atmospheric release. Atmospheric Environment. 122. 748–762. 41 indexed citations
3.
Septier, François, et al.. (2015). A Bayesian Perspective on Multiple Source Localization in Wireless Sensor Networks. IEEE Transactions on Signal Processing. 64(7). 1684–1699. 29 indexed citations
4.
Septier, François, et al.. (2013). Bayesian model selection and parameter estimation in penalized regression model using SMC samplers. European Signal Processing Conference. 1–5. 3 indexed citations
5.
Septier, François & Yves Delignon. (2010). MCMC sampling for joint estimation of phase distortions and transmitted symbols in OFDM systems. Digital Signal Processing. 21(2). 341–353. 7 indexed citations
6.
Septier, François, et al.. (2009). Pilot‐Aided Sequential Monte Carlo Estimation of Phase Distortions and Transmitted Symbols in Multicarrier Systems. Journal of Electrical and Computer Engineering. 2010(1). 5 indexed citations
7.
Delignon, Yves, et al.. (2008). One-dimensional barcode reading: an information theoretic approach. Applied Optics. 47(8). 1025–1025. 12 indexed citations
8.
Septier, François, et al.. (2008). Non-Pilot-Aided Sequential Monte Carlo Method to Joint Signal, Phase Noise, and Frequency Offset Estimation in Multicarrier Systems. EURASIP Journal on Advances in Signal Processing. 2008(1). 10 indexed citations
9.
Ghazi, Hassan El, et al.. (2007). Spreading Sequence Comparison for MC-CDMA Systems in a Doubly Selective Channel. 488–492. 1 indexed citations
10.
Delignon, Yves, et al.. (2005). A Statistical Characterization Of Sea-state SAR Images. iii. 398–401. 1 indexed citations
11.
Delignon, Yves, et al.. (2002). Compound statistical model for 60 GHz channel. SPIRE - Sciences Po Institutional REpository. 3. 1780–1784. 2 indexed citations
12.
Delignon, Yves & Wojciech Pieczynski. (2002). Modeling non-Rayleigh speckle distribution in SAR images. IEEE Transactions on Geoscience and Remote Sensing. 40(6). 1430–1435. 42 indexed citations
13.
Delignon, Yves, et al.. (2002). Adaptative segmentation of SAR images. 2. II/449–II/454.
14.
Delignon, Yves, et al.. (2002). Performance of an OFDM-SDMA based system in a time-varying multi-path channel. 3. 1686–1690. 6 indexed citations
15.
Delignon, Yves, et al.. (2002). Unsupervised statistical segmentation of multispectral SAR images using generalized mixture estimation. 1. 706–708. 1 indexed citations
16.
Delignon, Yves, et al.. (2001). Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context. IEEE Transactions on Geoscience and Remote Sensing. 39(8). 1789–1798. 74 indexed citations
17.
Delignon, Yves, et al.. (1998). An optimal matched filter for target detection in images distorted by noise. 6. 1001–1003 vol.2. 2 indexed citations
18.
Delignon, Yves, et al.. (1997). Statistical modelling of ocean SAR images. IEE Proceedings - Radar Sonar and Navigation. 144(6). 348–354. 35 indexed citations
19.
Delignon, Yves, et al.. (1997). Estimation of generalized mixtures and its application in image segmentation. IEEE Transactions on Image Processing. 6(10). 1364–1375. 93 indexed citations
20.
Garello, R. & Yves Delignon. (1993). Statistical analysis of ocean surface texture in SAR images.

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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