Standout Papers

Global assessment of... 2007 2026 2013 2019 641
  1. Global assessment of oil and gas methane ultra-emitters (2022)
    Thomas Lauvaux, Clément Giron et al. Science
  2. Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data (2008)
    Onureena Banerjee, Laurent El Ghaoui et al. Journal of Machine Learning Research
  3. A Direct Formulation for Sparse PCA Using Semidefinite Programming (2007)
    Alexandre d’Aspremont, Laurent El Ghaoui et al. SIAM Review
  4. Phase recovery, MaxCut and complex semidefinite programming (2013)
    Irène Waldspurger, Alexandre d’Aspremont et al. Mathematical Programming

Immediate Impact

11 by Nobel laureates 14 from Science/Nature 70 standout
Sub-graph 1 of 19

Citing Papers

US oil and gas system emissions from nearly one million aerial site measurements
2024 StandoutNature
Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
2024 Standout

Works of Alexandre d’Aspremont being referenced

Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
2023
Global assessment of oil and gas methane ultra-emitters
2022 StandoutScience

Author Peers

Author Last Decade Papers Cites
Alexandre d’Aspremont 605 636 184 528 48 2.3k
Linda Kaufman 752 497 407 210 45 4.7k
C. Reinsch 372 589 313 257 23 4.1k
Makoto Matsumoto 899 171 111 165 82 4.2k
Anthony Ralston 293 491 542 179 82 4.2k
Boaz Nadler 719 481 31 361 69 3.9k
R. W. Hamming 326 381 353 134 44 3.6k
Charles Van Loan 492 708 1356 153 38 5.2k
Seung-Jean Kim 475 917 191 194 20 3.4k
Christine De Mol 324 1799 182 238 49 4.2k
Y. Vardi 606 504 56 957 30 5.1k

All Works

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Rankless by CCL
2026