litlas
Log inCreate account

Jean-Luc Starck

Active 1994–2026

Also published as
Jean‐Luc Starck · Jean-luc Starck
188
Papers
20,147
Citations
57
h-index
132
i10-index

Citations

Citations per year for Jean-Luc Starck1952: 1 citations1969: 1 citations1982: 2 citations1990: 1 citations1993: 1 citations1995: 8 citations1996: 11 citations1997: 18 citations1998: 11 citations1999: 27 citations2000: 32 citations2001: 55 citations2002: 82 citations2003: 92 citations2004: 93 citations2005: 199 citations2006: 230 citations2007: 298 citations2008: 346 citations2009: 532 citations2010: 465 citations2011: 464 citations2012: 494 citations2013: 538 citations2014: 568 citations2015: 531 citations2016: 561 citations2017: 528 citations2018: 443 citations2019: 454 citations2020: 399 citations2021: 379 citations2022: 341 citations2023: 284 citations2024: 256 citations2025: 145 citations2026: 39 citations2027: 1 citations1953–1968: no citations, so these years are not shown1970–1981: no citations, so these years are not shown1983–1989: no citations, so these years are not shown1991–1992: no citations, so these years are not shown1994: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 1,864 citing papers, 19.7% of this breakdownUnited States: 1,537 citing papers, 16.2% of this breakdownFrance: 941 citing papers, 9.9% of this breakdownUnited Kingdom: 537 citing papers, 5.7% of this breakdownIndia: 390 citing papers, 4.1% of this breakdownGermany: 376 citing papers, 4% of this breakdownCanada: 280 citing papers, 2.9% of this breakdownItaly: 252 citing papers, 2.7% of this breakdownSpain: 229 citing papers, 2.4% of this breakdownJapan: 224 citing papers, 2.4% of this breakdownSwitzerland: 218 citing papers, 2.3% of this breakdownAustralia: 194 citing papers, 2% of this breakdown
0%19.7%Other 25.7%

Institutions

Fields

  • Computer Science44.1%
  • Engineering34.3%
  • Physics and Astronomy7.4%
  • Medicine5.4%
  • Biochemistry, Genetics and Molecular Biology2%
  • Earth and Planetary Sciences1.9%
  • Other4.9%

Topics

  • Image and Signal Denoising Methods13.2%
  • Sparse and Compressive Sensing Techniques10.4%
  • Advanced Image Fusion Techniques5.5%
  • Advanced Image Processing Techniques5.2%
  • Blind Source Separation Techniques3.7%
  • Medical Image Segmentation Techniques2.8%
  • Other59.2%

Coauthors

All papers

Open in search
  1. Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

    Authors: David L. Donoho, Yaakov Tsaig, Iddo Drori, Jean-Luc Starck - IEEE Transactions on Information Theory, IEEE Trans. Inf. Theory 2012 cited by 1,501

  2. The curvelet transform for image denoising

    Authors: Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2002 cited by 2,240

  3. NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction

    Authors: Zaccharie Ramzi, Chaithya G. R., Jean-Luc Starck, Philippe Ciuciu - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 56

  4. Image Decomposition via the Combination of Sparse Representations and a Variational Approach

    Authors: Jean-Luc Starck, Michael Elad, David L. Donoho - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2005 cited by 989

  5. Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning

    Authors: Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck - SIAM Journal on Imaging Sciences, SIAM J. Imaging Sci. 2018 cited by 80

  6. State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge

    Authors: Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 299

  7. Image Decomposition and Separation Using Sparse Representations: An Overview

    Authors: Mohamed-Jalal Fadili, Jean-Luc Starck, Jérôme Bobin, Yassir Moudden - IEEE, Proc. IEEE 2009 cited by 181

  8. XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge

    Authors: Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck - arXiv (Cornell University), CoRR 2020 cited by 27

  9. Morphological Component Analysis: An Adaptive Thresholding Strategy

    Authors: Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2007 cited by 314

  10. Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)

    Authors: Michael Elad, Jean‐Luc Starck, Philippe Querre, David L. Donoho - Applied and Computational Harmonic Analysis 2005 cited by 906

  11. Astronomical Image and Data Analysis

    Authors: Jean‐Luc Starck, F. Murtagh - Astronomy and astrophysics library 2006 cited by 402

  12. Image Processing and Data Analysis

    Authors: Jean‐Luc Starck, Fionn Murtagh, A. Bijaoui - Cambridge University Press eBooks 1998 cited by 536

  13. Probabilistic Mass Mapping with Neural Score Estimation

    Authors: Benjamin Remy, François Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback - Astronomy and Astrophysics 2022 cited by 36

  14. Wavelet-based combined signal filtering and prediction

    Authors: Olivier Renaud, Jean-Luc Starck, Fionn Murtagh - IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Trans. Syst. Man Cybern. Part B 2005 cited by 152

  15. Deep learning-based galaxy image deconvolution

    Authors: Utsav Akhaury, Jean‐Luc Starck, P. Jablonka, F. Courbin, Kevin Michalewicz - Frontiers in Astronomy and Space Sciences 2022 cited by 18

  16. The reversal of the star formation-density relation in the distant universe

    Authors: D. Elbaz, E. Daddi, D. Le Borgne, Mark Dickinson, D. M. Alexander, Ranga‐Ram Chary, Jean‐Luc Starck, W. N. Brandt, Manfred G. Kitzbichler, Emily Macdonald, M. Nonino, P. Popesso, Daniel Stern, E. Vanzella - Astronomy and Astrophysics 2007 cited by 1,601

  17. Redundant Multiscale Transforms and Their Application for Morphological Component Separation

    Authors: Jean‐Luc Starck, Michael Elad, David L. Donoho - Advances in imaging and electron physics 2004 cited by 443

  18. Inpainting and Zooming Using Sparse Representations

    Authors: Mohamed-Jalal Fadili, Jean-Luc Starck, Fionn Murtagh - The Computer Journal, Comput. J. 2007 cited by 332

  19. Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

    Authors: Zaccharie Ramzi, Philippe Ciuciu, Jean‐Luc Starck - Applied Sciences 2020 cited by 47

  20. Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal

    Authors: Bo Zhang, Mohamed-Jalal Fadili, Jean-Luc Starck - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2008 cited by 352

  21. Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting

    Authors: Djamel Benaouda, Fionn Murtagh, Jean-Luc Starck, Olivier Renaud - Neurocomputing 2006 cited by 125

  22. Deep learning for a space-variant deconvolution in galaxy surveys

    Authors: F. Sureau, Alexis Lechat, Jean‐Luc Starck - Astronomy and Astrophysics 2020 cited by 47

  23. On the dissection of degenerate cosmologies with machine learning

    Authors: Julian Merten, Carlo Giocoli, Marco Baldi, Massimo Meneghetti, Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino - Monthly Notices of the Royal Astronomical Society 2019 cited by 43

  24. SKA Science Data Challenge 2: analysis and results

    Authors: Philippa Hartley, A Bonaldi, Róbert Braun, J. N. H. S. Aditya, Stéphane Aicardi, L. Alegre, Abhijit Chakraborty, Xuelei Chen, S Choudhuri, A. O. Clarke, J. M. Coles, J S Collinson, David Cornu, Laura Darriba, Michele Delli Veneri, Jan Forbrich, B. Fraga, A. Galan, Julián Garrido, F Gubanov, Helen Håkansson, M. J. Hardcastle, Caroline Heneka, D. Herranz, Kelley M. Hess, M Jagannath, Sumit Jaiswal, R J Jurek, Damien Korber, S Kitaeff, D. Kleiner, Baoqiang Lao, Xiangtao Lu, Aishrila Mazumder, J. Moldón, Rajesh Mondal, Shaoqing Ni, Magnus Önnheim, Manuel Parra-Royón, Nipanjana Patra, Austin Peel, P Salomé, S. Sánchez–Expósito, M. Sargent, B Semelin, P. Serra, Abinash Kumar Shaw, Ao Shen, A Sjöberg, Lani Smith, Anthony Soroka, V. Stolyarov, E. Tolley, M C Toribio, J. M. van der Hulst, Alireza Vafaei Sadr, L. Verdes‐Montenegro, T. Westmeier, Keming Yu, Lei Yu, Lifu Zhang, Xin Zhang, Yingkang Zhang, A Alberdi, M. Ashdown, Clécio R. Bom, M. Brüggen, John M. Cannon, Rurong Chen, F. Combes, James Conway, F. Courbin, Junjun Ding, G Fourestey, Jonathan Freundlich, Li-Yang Gao, C Gheller, Qingyue Guo, E Gustavsson, M Jirstrand, Michael G. Jones, G I G Józsa, P. Kamphuis, J-P Kneib, M. Lindqvist, Bin Liu, Yujun Liu, Yi Mao, Antoine Marchal, I. Márquez, A. V. Meshcheryakov, M Olberg, Nadeem Oozeer, M. Pandey-Pommier, Wenting Pei, Bo Peng, J. Sabater, A. Sorgho, Jean‐Luc Starck, C. Tasse and 8 more - Monthly Notices of the Royal Astronomical Society 2023 cited by 20