Thomas Oberlin

2.7k total citations · 2 hit papers
41 papers, 1.5k citations indexed

About

Thomas Oberlin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Thomas Oberlin has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 10 papers in Signal Processing. Recurrent topics in Thomas Oberlin's work include Image and Signal Denoising Methods (18 papers), Machine Fault Diagnosis Techniques (10 papers) and Blind Source Separation Techniques (8 papers). Thomas Oberlin is often cited by papers focused on Image and Signal Denoising Methods (18 papers), Machine Fault Diagnosis Techniques (10 papers) and Blind Source Separation Techniques (8 papers). Thomas Oberlin collaborates with scholars based in France, United Kingdom and United States. Thomas Oberlin's co-authors include Sylvain Meignen, Valérie Perrier, Stephen McLaughlin, Patrick Flandrin, Yu-Ting Lin, Hau‐Tieng Wu, François Auger, Ratikanta Behera, Véronique Perrier and Duong-Hung Pham and has published in prestigious journals such as NeuroImage, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Thomas Oberlin

36 papers receiving 1.5k citations

Hit Papers

Time-Frequency Reassignment and Synchrosqueezing: An Over... 2013 2026 2017 2021 2013 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Oberlin France 14 956 433 409 344 232 41 1.5k
Gang Yu China 17 1.3k 1.4× 546 1.3× 285 0.7× 156 0.5× 382 1.6× 54 1.7k
Sylvain Meignen France 20 1.7k 1.8× 765 1.8× 674 1.6× 559 1.6× 385 1.7× 54 2.5k
Nabeel Ali Khan Pakistan 20 500 0.5× 204 0.5× 291 0.7× 485 1.4× 96 0.4× 64 1.2k
Shie Qian United States 15 558 0.6× 342 0.8× 522 1.3× 435 1.3× 274 1.2× 32 2.1k
Gaurav Thakur India 8 434 0.5× 234 0.5× 173 0.4× 142 0.4× 117 0.5× 33 898
Yixin Yang China 23 675 0.7× 433 1.0× 272 0.7× 809 2.4× 189 0.8× 252 2.6k
Jean-Christophe Cexus France 12 417 0.4× 206 0.5× 227 0.6× 178 0.5× 114 0.5× 24 997
Yannis Kopsinis Greece 12 406 0.4× 190 0.4× 254 0.6× 309 0.9× 72 0.3× 44 1.1k
Miloš Daković Montenegro 25 509 0.5× 247 0.6× 557 1.4× 447 1.3× 154 0.7× 143 2.0k
Jean‐Claude Nunes France 16 392 0.4× 148 0.3× 508 1.2× 128 0.4× 69 0.3× 49 1.5k

Countries citing papers authored by Thomas Oberlin

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Oberlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Oberlin

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Oberlin. A scholar is included among the top collaborators of Thomas Oberlin 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 Thomas Oberlin. Thomas Oberlin 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.
Wilson, Dennis G., et al.. (2025). Style transfer with diffusion models for synthetic-to-real domain adaptation. Computer Vision and Image Understanding. 259. 104445–104445. 1 indexed citations
2.
Oberlin, Thomas, et al.. (2025). Early-season delineation of agricultural fields using a fully convolutional multi-task network and satellite images. Science of Remote Sensing. 12. 100256–100256. 1 indexed citations
3.
Mabilleau, Guillaume, Matthieu Loumaigne, Raffaele Vitale, et al.. (2025). Dual-modality SEM-Raman smart scanning for fast hyperspectral Raman micro-imaging – application to bones. Biomedical Optics Express. 16(3). 935–935.
4.
Chabert, Marie, et al.. (2025). Variational Bayes Image Restoration With Compressive Autoencoders. IEEE Transactions on Image Processing. 34. 2896–2909.
5.
Vitale, Raffaele, et al.. (2024). On-the-fly spectral unmixing based on Kalman filtering. Chemometrics and Intelligent Laboratory Systems. 255. 105252–105252. 1 indexed citations
6.
Oberlin, Thomas, et al.. (2022). Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images. Medical Image Analysis. 84. 102689–102689.
7.
Chabert, Marie, et al.. (2022). Satellite Image Compression and Denoising With Neural Networks. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 31 indexed citations
8.
Oberlin, Thomas, et al.. (2022). Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. arXiv (Cornell University). 7 indexed citations
9.
Meignen, Sylvain, et al.. (2021). Source Separation Based on Non-Negative Matrix Factorization of the Synchrosqueezing Transform. 2021 29th European Signal Processing Conference (EUSIPCO). 1910–1914. 1 indexed citations
10.
Oberlin, Thomas, et al.. (2020). Negative Binomial Matrix Factorization. IEEE Signal Processing Letters. 27. 815–819. 4 indexed citations
11.
Oberlin, Thomas, Nicolas Dobigeon, Cédric Févotte, et al.. (2019). Factor analysis of dynamic PET images: beyond Gaussian noise. Open Archive Toulouse Archive Ouverte (University of Toulouse). 7 indexed citations
13.
Meignen, Sylvain, Thomas Oberlin, & Duong-Hung Pham. (2019). Synchrosqueezing transforms: From low- to high-frequency modulations and perspectives. Comptes Rendus Physique. 20(5). 449–460. 46 indexed citations
14.
Oberlin, Thomas, et al.. (2018). Reconstruction of Partially Sampled Multiband Images—Application to STEM-EELS Imaging. IEEE Transactions on Computational Imaging. 4(4). 585–598.
15.
Oberlin, Thomas, et al.. (2018). Unmixing dynamic PET images with variable specific binding kinetics. Medical Image Analysis. 49. 117–127. 5 indexed citations
16.
Batatia, Hadj, et al.. (2017). Skull Conductivity Estimation for EEG Source Localization. IEEE Signal Processing Letters. 24(4). 422–426. 4 indexed citations
17.
Behera, Ratikanta, Sylvain Meignen, & Thomas Oberlin. (2016). Theoretical analysis of the second-order synchrosqueezing transform. Applied and Computational Harmonic Analysis. 45(2). 379–404. 161 indexed citations
18.
Batatia, Hadj, et al.. (2016). Bayesian EEG source localization using a structured sparsity prior. NeuroImage. 144(Pt A). 142–152. 24 indexed citations
19.
Oberlin, Thomas, Sylvain Meignen, & Valérie Perrier. (2015). Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations. IEEE Transactions on Signal Processing. 63(5). 1335–1344. 387 indexed citations breakdown →
20.
Clausel, Marianne, Thomas Oberlin, & Valérie Perrier. (2014). The monogenic synchrosqueezed wavelet transform: a tool for the decomposition/demodulation of AM–FM images. Applied and Computational Harmonic Analysis. 39(3). 450–486. 21 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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