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Most cited papers in Mathematical Approximation and Integration

Mathematical Approximation and Integration

What are the most cited papers in Mathematical Approximation and Integration?

The most cited paper in Mathematical Approximation and Integration is "Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates" (Ilya M. Sobol, 2001), with 6,427 citations. Next come "Optimal approximations by piecewise smooth functions and associated variational problems" (5,245) and "Random Number Generation and Quasi-Monte Carlo Methods." (2,965).

Showing 50 of 100 papers. Every paper with more than 325 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates Ilya M. Sobol · Mathematics and Computers in Simulation Feb 2001 6,427
2 Optimal approximations by piecewise smooth functions and associated variational problems David B. Mumford, Jayant M. Shah · Communications on Pure and Applied Mathematics Open access Jul 1989 5,245
3 Random Number Generation and Quasi-Monte Carlo Methods. Bruce Jay Collings, Harald Niederreiter · Journal of the American Statistical Association Jun 1993 2,965
4 Centroidal Voronoi Tessellations: Applications and Algorithms Qiang Du, Vance Faber, Max Gunzburger · SIAM Review 1999 2,297
5 On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals John H. Halton · Numerische Mathematik Dec 1960 2,009
6 Monte Carlo and quasi-Monte Carlo methods Russel E. Caflisch · Acta Numerica 1998 1,778
7 A new algorithm for adaptive multidimensional integration G. Peter Lepage · Journal of Computational Physics Open access May 1978 1,677
8 Multilevel Monte Carlo Path Simulation Michael B. Giles · Operations Research Jun 2008 1,522
9 Approximation of functional depending on jumps by elliptic functional via t‐convergence Luigi Ambrosio, Vincenzo Maria Tortorelli · Communications on Pure and Applied Mathematics Dec 1990 1,483
10 Splines minimizing rotation-invariant semi-norms in Sobolev spaces Jean Duchon · Lecture notes in mathematics Book chapter 1977 1,394
11 A General Definition of Residuals David Roxbee Cox, E. J. Snell · Journal of the Royal Statistical Society Series B (Statistical Methodology) Jul 1968 1,326
12 On the approximate calculation of multiple integrals Nikolai Sergeevich Bakhvalov · Journal of Complexity Open access 2 Feb 2015 1,270
13 On the ratio of optimal integral and fractional covers László Lovász · Discrete Mathematics Open access 1975 1,134
14 Weighted norm inequalities for maximal functions and singular integrals Ronald R. Coifman, Charles Fefferman · Studia Mathematica Open access 1974 1,125
15 Distributing many points on a sphere Edward Barry Saff, Arno B. J. Kuijlaars · The Mathematical Intelligencer Dec 1997 1,108
16 An approximation of partial sums of independent RV's, and the sample DF. II J. Koml�s, Péter Major, G. Tusn�dy · Probability Theory and Related Fields Open access 1976 1,025
17 Spherical codes and designs P. Delsarte, J.-M. Goethals, J.J. Seidel · Geometriae Dedicata Sep 1977 993
18 Cuba—a library for multidimensional numerical integration Thomas H. Hahn · Computer Physics Communications Open access 19 Apr 2005 981
19 Numerical integration using sparse grids Thomas V. Gerstner, Michael Griebel · Numerical Algorithms 1998 930
20 Uniform Design: Theory and Application Kai-Tai Fang, Dennis K. J. Lin, Peter Winker et al. · Technometrics Aug 2000 897
21 Monte Carlo methods for security pricing Phelim Boyle, Mark N. Broadie, Paul Glasserman · Journal of Economic Dynamics and Control Jun 1997 879
22 Algorithm 659 Paul Bratley, Bennett L. Fox · ACM Transactions on Mathematical Software Open access Mar 1988 867
23 Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences Chandra R. Bhat · Transportation Research Part B Methodological 7 Apr 2003 864
24 Minimax Theorems Ky Fan · Proceedings of the National Academy of Sciences Open access 1953 850
25 Multilevel Monte Carlo methods Michael B. Giles · Acta Numerica 27 Apr 2015 805
26 An approximation of partial sums of independent RV'-s, and the sample DF. I J. Koml�s, Péter Major, G. Tusn�dy · Probability Theory and Related Fields Open access 1975 801
27 Estimating Parameters in Continuous Univariate Distributions with a Shifted Origin Russell C. H. Cheng, N. A. K. Amin · Journal of the Royal Statistical Society Series B (Statistical Methodology) Jul 1983 788
28 Why the Monte Carlo method is so important today Dirk P. Kroese, Tim J. Brereton, Thomas Taimre et al. · Wiley Interdisciplinary Reviews Computational Statistics Open access 20 Jun 2014 758
29 n-Widths in Approximation Theory. Klaus Höllig, Allan M. Pinkus · Mathematics of Computation Oct 1986 748
30 An Introduction to the Approximation of Functions Joseph W. Jerome, Theodore J. Rivlin · Technometrics May 1970 737
31 A generalized discrepancy and quadrature error bound Fred J. Hickernell · Mathematics of Computation Open access 1998 728
32 Optimization of computer simulation models with rare events Reuven Y. Rubinstein · European Journal of Operational Research May 1997 708
33 Applications ofB-splines in atomic and molecular physics H. Bachau, E. Cormier, Piero Decleva et al. · Reports on Progress in Physics Open access 20 Nov 2001 702
34 Solving Fredholm integrals of the first kind with tensor product structure in 2 and 2.5 dimensions Lalitha Venkataramanan, Yi‐Qiao Song, Martin D. Hürlimann · IEEE Transactions on Signal Processing May 2002 688
35 The Grand Tour: A Tool for Viewing Multidimensional Data Daniel Asimov · SIAM Journal on Scientific and Statistical Computing 1985 661
36 Quantum annealing: A new method for minimizing multidimensional functions A.B. Finnila, M.A. Gomez, C. Sebenik et al. · Chemical Physics Letters Open access Mar 1994 651
37 Is Gauss Quadrature Better than Clenshaw–Curtis? Lloyd N. Trefethen · SIAM Review 2008 646
38 High dimensional polynomial interpolation on sparse grids Volker Barthelmann, Erich Novak, Klaus Ritter · Advances in Computational Mathematics Mar 2000 644
39 High-dimensional integration: The quasi-Monte Carlo way Josef Dick, Frances Y. Kuo, Ian H. Sloan · Acta Numerica 2 Apr 2013 642
40 Analysis of variance designs for model output Michiel J. W. Jansen · Computer Physics Communications Open access Mar 1999 640
41 Spinor techniques for calculating Ronald H.P. Kleiss, W.J. Stirling · Nuclear Physics B Dec 1985 637
42 The influence of variables on Boolean functions J. Kahn, Gil Kalai, Nathan Linial Conference paper 1988 630
43 When Are Quasi-Monte Carlo Algorithms Efficient for High Dimensional Integrals? Ian H. Sloan, Henryk Woźniakowski · Journal of Complexity Open access Mar 1998 628
44 Tensor Regression with Applications in Neuroimaging Data Analysis Hua Zhou, Lexin Li, Hongtu Zhu · Journal of the American Statistical Association Open access 25 Mar 2013 578
45 Point sets and sequences with small discrepancy Harald Niederreiter · Monatshefte für Mathematik Dec 1987 569
46 Some Approximation Theorems via Statistical Convergence Akif D. Gadjiev, Cihan Orhan · Rocky Mountain Journal of Mathematics Open access Mar 2002 555
47 Dimension?Adaptive Tensor?Product Quadrature Thomas V. Gerstner, Michael Griebel · Computing Aug 2003 552
48 Monte Carlo theory and practice F. James · Reports on Progress in Physics Open access Sep 1980 545
49 A guided tour of chernoff bounds Torben Hagerup, Christine Rüb · Information Processing Letters Feb 1990 526
50 MONTE CARLO METHODS FOR SOLVING MULTIVARIABLE PROBLEMS J. M. Hammersley · Annals of the New York Academy of Sciences May 1960 524

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.