NLA Group Articles Amongst Most Read In SIAM Journals
Sixteen publications by members of the NLA group feature among the top 40 most read articles in two SIAM journals, both leading venues for publications in numerical linear algebra.
The following articles are amongst the 20 most read in the SIAM Journal on Matrix Analysis and Applications:
 Matrix Inverse Trigonometric and Inverse Hyperbolic Functions: Theory and Algorithms by Mary Aprahamian and Nicholas J. Higham

An Arbitrary Precision Scaling and Squaring Algorithm for the Matrix Exponential by Massimiliano Fasi and Nicholas J. Higham

Higher Order Fréchet Derivatives of Matrix Functions and the Level2 Condition Number by Nicholas J. Higham and Samuel D. Relton

Generalized Rational Krylov Decompositions with an Application to Rational Approximation by Mario Berljafa and Stefan Güttel
 The Structured Condition Number of a Differentiable Map between Matrix Manifolds, with Applications by Bahar Arslan, Vanni Noferini, and Françoise Tisseur

An Algorithm for the Matrix Lambert $W$ Function by Massimiliano Fasi, Nicholas J. Higham, and Bruno Iannazzo
 The Block Rational Arnoldi Method by Steven Elsworth and Stefan Güttel
 Multiprecision Algorithms for Computing the Matrix Logarithm by Massimiliano Fasi and Nicholas J. Higham
The following articles are amongst the 20 most read in the SIAM Journal on Scientific Computing:
 Accelerating the Solution of Linear Systems by Iterative Refinement in Three Precisions by Erin Carson and Nicholas J. Higham
 A New Approach to Probabilistic Rounding Error Analysis by Nicholas J. Higham and Theo Mary
 Simulating Low Precision FloatingPoint Arithmetic by Nicholas J. Higham and Srikara Pranesh
 A New Analysis of Iterative Refinement and Its Application to Accurate Solution of IllConditioned Sparse Linear Systems by Erin Carson and Nicholas J. Higham
 Shifted Cholesky QR for Computing the QR Factorization of IllConditioned Matrices by Takeshi Fukaya, Ramaseshan Kannan, Yuji Nakatsukasa, Yusaku Yamamoto, and Yuka Yanagisawa
 Squeezing a Matrix into Half Precision, with an Application to Solving Linear Systems by Nicholas J. Higham, Srikara Pranesh, and Mawussi Zounon
 A Class of Fast and Accurate Summation Algorithms by Pierre Blanchard, Nicholas J. Higham, and Theo Mary
 Estimating the Largest Elements of a Matrix by Nicholas J. Higham and Samuel D. Relton
The full lists (updated daily) are available here and here.