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Most cited papers in Statistical and Computational Modeling

Statistical and Computational Modeling

What are the most cited papers in Statistical and Computational Modeling?

The most cited paper in Statistical and Computational Modeling is "ANALYZING TABLES OF STATISTICAL TESTS" (William R. Rice, 1989), with 13,907 citations. Next come "Induction of decision trees" (12,440) and "Practical Nonparametric Statistics" (11,111).

Showing 50 of 99 papers. Every paper with more than 221 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 ANALYZING TABLES OF STATISTICAL TESTS William R. Rice · Evolution 1989 13,907
2 Induction of decision trees J. R. Quinlan · Machine Learning Open access Mar 1986 12,440
3 Practical Nonparametric Statistics David J. Groggel, William Jay Conover · Technometrics Aug 2000 11,111
4 User's guide to correlation coefficients Haldun Akoğlu · Turkish Journal of Emergency Medicine Open access 7 Aug 2018 5,925
5 Regression Models for Categorical and Limited Dependent Variables James A. Calvin, J. Scott Long · Technometrics Feb 1998 2,993
6 Structure identification of fuzzy model Michio Sugeno, Geon Kang · Fuzzy Sets and Systems Oct 1988 2,722
7 Application of Model-Selection Criteria to Some Problems in Multivariate Analysis Stanley L. Sclove · Psychometrika Sep 1987 2,625
8 Logistic regression and artificial neural network classification models: a methodology review Stephan Dreiseitl, Lucila Ohno‐Machado · Journal of Biomedical Informatics Open access Oct 2002 2,205
9 Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support Warren E. Walker, Poul Harremoës, Joris I. Rotmans et al. · Integrated Assessment Open access Mar 2003 2,072
10 Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes Jack V. Tu · Journal of Clinical Epidemiology Nov 1996 1,848
11 Graphical Models in Applied Multivariate Statistics Colin R. Goodall, Joe Whittaker · Technometrics Nov 1991 1,838
12 Polynomial Theory of Complex Systems Alexey G. Ivakhnenko · IEEE Transactions on Systems Man and Cybernetics Oct 1971 1,692
13 Logistic Regression: A Self-Learning Text. Steve Selvin, David G. Kleinbaum · Journal of the American Statistical Association Mar 1996 1,633
14 Biomarker definitions and their applications Robert M. Califf · Experimental Biology and Medicine Open access Feb 2018 1,542
15 System identification—A survey Karl Johan Åström, P. Eykhoff · Automatica Open access Mar 1971 1,508
16 Xpose—an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM E. Niclas Jonsson, Mats O. Karlsson · Computer Methods and Programs in Biomedicine 1998 1,005
17 Sampling and Bayes' Inference in Scientific Modelling and Robustness George E. P. Box · Journal of the Royal Statistical Society Series A (General) 1980 944
18 Comparison of algorithms that select features for pattern classifiers Mineichi Kudo, Jack Sklansky · Pattern Recognition 2000 900
19 Multiple Time Series Regression with Integrated Processes P. C. B. Phillips, Steven N. Durlauf · The Review of Economic Studies Aug 1986 849
20 Pattern classification using neural networks Richard P. Lippmann · IEEE Communications Magazine Nov 1989 818
21 Selection of the order of an autoregressive model by Akaike's information criterion Ritei Shibata · Biometrika 1976 784
22 Multivariate Information Transmission William James McGill · Psychometrika Jun 1954 731
23 Guide to using the Coloured Progressive Matrices. John Raven 1958 672
24 Canonical Correlation Analysis of Time Series and the Use of an Information Criterion Hirotugu Akaike · Mathematics in Science and Engineering/Mathematics in science and engineering Book chapter 1976 663
25 An introduction to multivariate adaptive regression splines Jerome H. Friedman, Charles B. Roosen · Statistical Methods in Medical Research Sep 1995 592
26 A method of choosing multiway partitions for classification and decision trees David S. C. Biggs, Barry de Ville, E. Suen · Journal of Applied Statistics 1991 583
27 Extensions and intentions in the rough set theory Zbigniew Bonikowski, Edward Bryniarski, Urszula Wybraniec-Skardowska · Information Sciences Jun 1998 578
28 On Some Invariant Criteria for Grouping Data Herman P. Friedman, Jerrold Rubin · Journal of the American Statistical Association Dec 1967 578
29 Rough classification Zdzisław Pawlak · International Journal of Man-Machine Studies May 1984 556
30 Rough approximation of a preference relation by dominance relations Salvatore Greco, Benedetto Matarazzo, Roman Słowiński · European Journal of Operational Research Aug 1999 543
31 PARTIAL CORRELATION AND CONDITIONAL CORRELATION AS MEASURES OF CONDITIONAL INDEPENDENCE Kunihiro Baba, Ritei Shibata, Masaaki Sibuya · Australian & New Zealand Journal of Statistics Dec 2004 542
32 A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection Sharon R. Grossman, Ilya Shylakhter, Elinor K. Karlsson et al. · Science Open access 7 Jan 2010 541
33 Sequential updating of conditional probabilities on directed graphical structures David J. Spiegelhalter, Steffen Lilholt Lauritzen · Networks Aug 1990 531
34 Inners and Stability of Dynamic Systems E.I. Jury, Lawrence R. Stark, Viswanathan V. Krishnan · IEEE Transactions on Systems Man and Cybernetics Oct 1976 510
35 Neural theory of association and concept-formation Шун-ичи Амари · Biological Cybernetics 1977 506
36 Model building strategy for logistic regression: purposeful selection Zhongheng Zhang · Annals of Translational Medicine Open access Mar 2016 499
37 Logit Modeling: Practical Applications Pradeep K. Chintagunta, Alfred DeMaris · Journal of Marketing Research Aug 1993 479
38 The method of creative telescoping Doron Zeilberger · Journal of Symbolic Computation Open access Mar 1991 465
39 Rough approximation by dominance relations Salvatore Greco, Benedetto Matarazzo, Roman Słowiński · International Journal of Intelligent Systems Open access 29 Jan 2002 465
40 Decision-Theoretic Rough Set Models Yiyu Y. Yao · Lecture notes in computer science Conference paper 25 Jun 2007 455
41 Random Variables and Probability Distributions E. Michael Nussbaum Book chapter 29 Jul 2014 453
42 Water quality prediction using machine learning methods Amir Hamzeh Haghiabi, Ali Heidar Nasrolahi, Abbas Parsaie · Water Quality Research Journal 19 Jan 2018 450
43 Cross-validation and multinomial prediction Marla Stone · Biometrika 1974 444
44 Rough Set Algorithms in Classification Problem Jan G. Bazan, Hung Son Nguyen, Sinh Hoa Nguyen et al. · Studies in fuzziness and soft computing Book chapter 2000 426
45 Rough sets methodology for sorting problems in presence of multiple attributes and criteria Salvatore Greco, Benedetto Matarazzo, Roman Słowiński · European Journal of Operational Research Apr 2002 409
46 Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy Rand R. Wilcox 13 Apr 2011 407
47 The investigation of the Bayesian rough set model Dominik Ślȩzak, Wojciech Ziarko · International Journal of Approximate Reasoning Open access 7 Jan 2005 397
48 On tables of random numbers A. N. Kolmogorov · Theoretical Computer Science Open access Nov 1998 381
49 A Method for Discriminating between Models Anthony C. Atkinson · Journal of the Royal Statistical Society Series B (Statistical Methodology) Sep 1970 373
50 Multivariate Analysis Andrew R. Baggaley · The Personnel and Guidance Journal Jun 1981 372

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.