Michael A. Saunders

41.6k total citations · 10 hit papers
133 papers, 25.9k citations indexed

About

Michael A. Saunders is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Michael A. Saunders has authored 133 papers receiving a total of 25.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Numerical Analysis, 56 papers in Computational Theory and Mathematics and 21 papers in Molecular Biology. Recurrent topics in Michael A. Saunders's work include Advanced Optimization Algorithms Research (60 papers), Matrix Theory and Algorithms (42 papers) and Sparse and Compressive Sensing Techniques (17 papers). Michael A. Saunders is often cited by papers focused on Advanced Optimization Algorithms Research (60 papers), Matrix Theory and Algorithms (42 papers) and Sparse and Compressive Sensing Techniques (17 papers). Michael A. Saunders collaborates with scholars based in United States, Canada and Israel. Michael A. Saunders's co-authors include David L. Donoho, Christopher C. Paige, Philip E. Gill, Walter Murray, Robert Tibshirani, Ji Zhu, Keith Knight, Saharon Rosset, Margaret H. Wright and Pierre Chambon and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael A. Saunders

129 papers receiving 24.0k citations

Hit Papers

Atomic Decomposition by Basis Pursuit 1975 2026 1992 2009 1998 2001 1982 2005 2004 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Atomic Decomposition by Basis Pursuit
    1998 4.6k citations Michael A. Saunders et al. SIAM Journal on Scientific Computing profile →
  2. Atomic Decomposition by Basis Pursuit
    2001 3.6k citations Michael A. Saunders et al. profile →
  3. LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
    1982 3.3k citations Michael A. Saunders et al. profile →
  4. SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
    2005 2.0k citations Philip E. Gill, Walter Murray et al. profile →
  5. Sparsity and Smoothness Via the Fused Lasso
    2004 1.6k citations Michael A. Saunders et al. profile →
  6. SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
    2002 1.2k citations Philip E. Gill, Walter Murray et al. profile →
  7. Solution of Sparse Indefinite Systems of Linear Equations
    1975 1.1k citations Michael A. Saunders et al. profile →
  8. Retinoic acid receptors and retinoid X receptors: interactions with endogenous retinoic acids.
    1993 642 citations Michael A. Saunders, Pierre Chambon et al. profile →
  9. Algorithm 583: LSQR: Sparse Linear Equations and Least Squares Problems
    1982 589 citations Michael A. Saunders et al. profile →
  10. Towards a Generalized Singular Value Decomposition
    1981 376 citations Michael A. Saunders et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Saunders United States 51 7.8k 4.1k 3.6k 2.9k 2.9k 133 25.9k
Jorge Nocedal United States 44 6.0k 0.8× 3.9k 0.9× 6.4k 1.8× 2.4k 0.8× 1.9k 0.7× 105 37.3k
Gene H. Golub United States 84 10.7k 1.4× 5.8k 1.4× 15.6k 4.3× 2.2k 0.8× 1.4k 0.5× 294 45.6k
Terence Tao United States 71 18.8k 2.4× 6.8k 1.7× 2.0k 0.6× 9.1k 3.1× 2.5k 0.9× 372 42.1k
Gilbert Strang United States 43 5.0k 0.6× 3.8k 0.9× 3.0k 0.8× 1.3k 0.4× 385 0.1× 185 18.6k
Per Christian Hansen Denmark 44 3.7k 0.5× 2.6k 0.6× 1.5k 0.4× 3.6k 1.2× 471 0.2× 168 19.4k
Tony F. Chan United States 77 11.2k 1.4× 18.9k 4.6× 4.2k 1.1× 3.0k 1.0× 695 0.2× 403 39.5k
George Em Karniadakis United States 107 22.3k 2.9× 1.6k 0.4× 3.5k 1.0× 5.8k 2.0× 1.5k 0.5× 686 64.1k
Stephen J. Wright United States 47 5.1k 0.7× 2.4k 0.6× 2.5k 0.7× 2.0k 0.7× 664 0.2× 201 15.7k
Grace Wahba United States 46 3.0k 0.4× 3.6k 0.9× 1.1k 0.3× 968 0.3× 918 0.3× 148 21.9k
Stephen Boyd United States 99 16.9k 2.2× 12.9k 3.1× 7.2k 2.0× 6.4k 2.2× 2.1k 0.7× 441 91.4k

Countries citing papers authored by Michael A. Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Saunders. 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 Michael A. Saunders. The network helps show where Michael A. Saunders may publish in the future.

Co-authorship network of co-authors of Michael A. Saunders

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Saunders. A scholar is included among the top collaborators of Michael A. Saunders 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 Michael A. Saunders. Michael A. Saunders 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.
Saunders, Michael A., et al.. (2024). Iterative methods in GPU-resident linear solvers for nonlinear constrained optimization. Parallel Computing. 123. 103123–103123.
2.
Marcia, Roummel F., et al.. (2022). Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation. SIAM Journal on Scientific Computing. 44(1). A103–A127. 2 indexed citations
3.
Friedlander, Michael P., et al.. (2019). Implementing a smooth exact penalty function for equality-constrained nonlinear optimization. arXiv (Cornell University). 14 indexed citations
4.
Yang, Laurence, Ali Ebrahim, Colton J. Lloyd, Michael A. Saunders, & Bernhard Ø. Palsson. (2019). DynamicME: dynamic simulation and refinement of integrated models of metabolism and protein expression. BMC Systems Biology. 13(1). 2–2. 44 indexed citations
5.
Yang, Jiyan, Michael W. Mahoney, Michael A. Saunders, & Yuekai Sun. (2016). Feature-distributed sparse regression: a screen-and-clean approach. Neural Information Processing Systems. 29. 2712–2720. 5 indexed citations
6.
Fleming, Ronan M. T., Nikos Vlassis, Ines Thiele, & Michael A. Saunders. (2016). Conditions for duality between fluxes and concentrations in biochemical networks. Journal of Theoretical Biology. 409. 1–10. 11 indexed citations
7.
Yang, Laurence, Ding Ma, Ali Ebrahim, et al.. (2016). solveME: fast and reliable solution of nonlinear ME models. BMC Bioinformatics. 17(1). 391–391. 35 indexed citations
8.
Levi, Ofer, Yisrael Parmet, Michael A. Saunders, et al.. (2015). Heart rate analysis by sparse representation for acute pain detection. Medical & Biological Engineering & Computing. 54(4). 595–606. 7 indexed citations
9.
Parnell, K. Mark, Jason M. Foulks, Rebecca N. Nix, et al.. (2013). Pharmacologic Activation of PKM2 Slows Lung Tumor Xenograft Growth. Molecular Cancer Therapeutics. 12(8). 1453–1460. 55 indexed citations
10.
Lee, Jason D., Yuekai Sun, & Michael A. Saunders. (2012). Proximal Newton-type methods for convex optimization. arXiv (Cornell University). 25. 827–835. 16 indexed citations
11.
Lee, Jason D., Yuekai Sun, & Michael A. Saunders. (2012). Proximal Newton-type Methods for Minimizing Convex Objective Functions in Composite Form. arXiv (Cornell University). 1 indexed citations
12.
Pereyra, Víctor, Michael A. Saunders, & José E. Castillo. (2011). Equispaced Pareto front construction for constrained bi-objective optimization. Mathematical and Computer Modelling. 57(9-10). 2122–2131. 32 indexed citations
13.
Garrus, Jennifer, Vijay Baichwal, Michael A. Saunders, et al.. (2008). Triterpene based compounds with potent anti-maturation activity against HIV-1. Bioorganic & Medicinal Chemistry Letters. 18(24). 6377–6380. 18 indexed citations
14.
Gill, Philip E., Walter Murray, Michael A. Saunders, John A. Tomlin, & Margaret H. Wright. (2007). George B. Dantzig and systems optimization. Discrete Optimization. 5(2). 151–158. 7 indexed citations
15.
Durand, Béatrice, Michael A. Saunders, Pierre Leroy, Mark Leid, & Pierre Chambon. (1992). All-trans and 9-cis retinoic acid induction of CRABPII transcription is mediated by RAR-RXR heterodimers bound to DR1 and DR2 repeated motifs. Cell. 71(1). 73–85. 366 indexed citations
16.
Gill, Philip E., Walter Murray, Michael A. Saunders, & Margaret H. Wright. (1988). Recent developments in constrained optimization. Journal of Computational and Applied Mathematics. 22(2-3). 257–270. 7 indexed citations
17.
Gill, Philip E., et al.. (1986). NPSOL (Version 4.0): A Fortran Package for Nonlinear Programming. User's Guide.. Defense Technical Information Center (DTIC). 2 indexed citations
18.
Saunders, Michael A., et al.. (1980). MINOS/AUGMENTED User's Manual.. Defense Technical Information Center (DTIC). 14 indexed citations
19.
Gill, Philip E., et al.. (1980). Computing Finite-Difference Approximations to Derivatives for Numerical Optimization.. Defense Technical Information Center (DTIC). 7 indexed citations
20.
Gill, Philip E., Gene H. Golub, Walter Murray, & Michael A. Saunders. (1974). Methods for Modifying Matrix Factorizations. Mathematics of Computation. 28(126). 505–505. 74 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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