Most cited papers in Forecasting Techniques and Applications
What are the most cited papers in Forecasting Techniques and Applications?
The most cited paper in Forecasting Techniques and Applications is "Judgment under Uncertainty: Heuristics and Biases" (Amos Tversky, Daniel J. Kahneman, 1974), with 28,737 citations. Next come "A Statistical Distribution Function of Wide Applicability" (11,600) and "Random effects structure for confirmatory hypothesis testing: Keep it maximal" (10,749).
Showing 50 of 97 papers. Every paper with more than 1,173 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Judgment under Uncertainty: Heuristics and Biases Amos Tversky, Daniel J. Kahneman · Science | 27 Sep 1974 | 28,737 |
| 2 | A Statistical Distribution Function of Wide Applicability Waloddi Weibull · Journal of Applied Mechanics | Sep 1951 | 11,600 |
| 3 | Random effects structure for confirmatory hypothesis testing: Keep it maximal Dale J. Barr, Roger Lévy, Christoph Scheepers et al. · Journal of Memory and Language | 3 Jan 2013 | 10,749 |
| 4 | Strictly Proper Scoring Rules, Prediction, and Estimation Tilmann Gneiting, Adrian E. Raftery · Journal of the American Statistical Association | 4 Feb 2007 | 5,828 |
| 5 | Another look at measures of forecast accuracy Rob J. Hyndman, Anne B. Koehler · International Journal of Forecasting | 25 May 2006 | 5,682 |
| 6 | Analysis of Incomplete Multivariate Data David E. Booth, Joseph L. Schafer · Technometrics | May 2000 | 5,646 |
| 7 | The Analysis of Variance Henry Scheffé · Soil Science | Jun 1960 | 5,559 |
| 8 | The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman · PeerJ Computer Science | 5 Jul 2021 | 5,323 |
| 9 | Comparing Predictive Accuracy Francis X. Diebold, Roberto S. Mariano · Journal of Business and Economic Statistics | Jul 1995 | 5,100 |
| 10 | Subjective probability: A judgment of representativeness Daniel J. Kahneman, Amos Tversky · Cognitive Psychology | Jul 1972 | 4,923 |
| 11 | Time series forecasting using a hybrid ARIMA and neural network model G.Peter Zhang · Neurocomputing | 2003 | 4,470 |
| 12 | Forecasting with artificial neural networks: Guoqiang Zhang, B. Eddy Patuwo, Michael Y. Hu · International Journal of Forecasting | Mar 1998 | 4,238 |
| 13 | Increasing risk: I. A definition Michael Rothschild, Joseph E. Stiglitz · Journal of Economic Theory | Sep 1970 | 3,940 |
| 14 | Linear system theory and design Stephen Mark Barnett · Automatica | May 1986 | 3,686 |
| 15 | Representativeness Revisited: Attribute Substitution in Intuitive Judgment Daniel J. Kahneman, Shane William Frederick · Cambridge University Press eBooks | 8 Jul 2002 | 3,437 |
| 16 | Estimation and inference in two-stage, semi-parametric models of production processes Léopold Simar, Paul W. Wilson · Journal of Econometrics | 10 Sep 2005 | 3,396 |
| 17 | Forecasting Using Principal Components From a Large Number of Predictors James H. Stock, Mark W. Watson · Journal of the American Statistical Association | Dec 2002 | 3,122 |
| 18 | Mathematical Statistics and Data Analysis Larry Rabinowitz, John A. Rice · Technometrics | Aug 1989 | 3,094 |
| 19 | Regret in Decision Making under Uncertainty David Elliott Bell · Operations Research | Oct 1982 | 3,038 |
| 20 | A Test for Normality of Observations and Regression Residuals Carlos M. Jarque, Anil K. Bera · International Statistical Review | Aug 1987 | 3,016 |
| 21 | Applied Econometric Time Series. mw, Walter Enders · Journal of the American Statistical Association | Sep 1995 | 2,998 |
| 22 | EDF Statistics for Goodness of Fit and Some Comparisons Michael A. Stephens · Journal of the American Statistical Association | Sep 1974 | 2,940 |
| 23 | Algorithm aversion: People erroneously avoid algorithms after seeing them err. Berkeley J. Dietvorst, Joseph P. Simmons, Cade Massey · Journal of Experimental Psychology General | 17 Nov 2014 | 2,866 |
| 24 | Ensemble-based classifiers Lior Rokach · Artificial Intelligence Review | 18 Nov 2009 | 2,694 |
| 25 | Back to Bentham? Explorations of Experienced Utility Daniel J. Kahneman, Peter P. Wakker, Rakesh Kumar Sarin · The Quarterly Journal of Economics | May 1997 | 2,563 |
| 26 | Mostly Harmless Econometrics: An Empiricist's Companion Jan Kmenta · Business Economics | 2010 | 2,560 |
| 27 | Approximately normal tests for equal predictive accuracy in nested models Todd E. Clark, Kenneth D. West · Journal of Econometrics | 19 Jul 2006 | 2,534 |
| 28 | Forecasting at Scale Sean J. Taylor, Benjamin Letham · The American Statistician | 29 Sep 2017 | 2,473 |
| 29 | Regression Models for Categorical and Limited Dependent Variables James A. Calvin · Technometrics | Feb 1998 | 2,300 |
| 30 | Filtering via Simulation: Auxiliary Particle Filters Michael K Pitt, Neil Shephard · Journal of the American Statistical Association | Jun 1999 | 2,283 |
| 31 | Multitarget bayes filtering via first-order multitarget moments Ronald Mahler · IEEE Transactions on Aerospace and Electronic Systems | Oct 2003 | 2,262 |
| 32 | Variations of Box Plots Robert McGill, John W. Tukey, Wayne A. Larsen · The American Statistician | Feb 1978 | 2,244 |
| 33 | Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models Genshiro Kitagawa · Journal of Computational and Graphical Statistics | Mar 1996 | 2,234 |
| 34 | Combining forecasts: A review and annotated bibliography Robert T. Clemen · International Journal of Forecasting | 1989 | 2,217 |
| 35 | Making Meaningful Inferences About Magnitudes Alan M. Batterham, Will G. Hopkins · International Journal of Sports Physiology and Performance | Mar 2006 | 2,202 |
| 36 | Generalized Additive Models: An Introduction With R Alan Y. Chiang · Technometrics | Aug 2007 | 2,199 |
| 37 | Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results Billy M. Williams, L A Hoel · Journal of Transportation Engineering | 20 Oct 2003 | 2,175 |
| 38 | Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai, Wei-Cheng Chang, Yiming Yang et al. | 27 Jun 2018 | 2,154 |
| 39 | Using Bayes to get the most out of non-significant results Zoltán Dienes · Frontiers in Psychology | 29 Jul 2014 | 2,135 |
| 40 | Forecasting Sales by Exponentially Weighted Moving Averages Peter R. Winters · Management Science | Apr 1960 | 2,135 |
| 41 | Testing the equality of prediction mean squared errors David I. Harvey, Stephen J. Leybourne, Paul Newbold · International Journal of Forecasting | Jun 1997 | 2,099 |
| 42 | Critical analysis of Big Data challenges and analytical methods Uthayasankar Sivarajah, Muhammad Mustafa Kamal, Zahir Irani et al. · Journal of Business Research | 10 Aug 2016 | 2,063 |
| 43 | The construction of preference. Paul Slovic · American Psychologist | May 1995 | 2,045 |
| 44 | Probability, Random Variables, and Stochastic Processes Irwin Miller · Technometrics | May 1966 | 2,038 |
| 45 | Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking Daniel Kahneman, Dan P. Lovallo · Management Science | 1993 | 2,019 |
| 46 | A Generalization of Bayesian Inference A. P. Dempster · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Jul 1968 | 2,006 |
| 47 | Machine Learning: An Applied Econometric Approach Sendhil Mullainathan, Jann Spiess · The Journal of Economic Perspectives | May 2017 | 1,986 |
| 48 | Introduction to Multiple Time Series Analysis Ian T. Jolliffe, Helmut Lütkepohl, Helmut Lütkepohl · Technometrics | Feb 1993 | 1,948 |
| 49 | The weighing of evidence and the determinants of confidence Dale Warren Griffin, Amos Tversky · Cognitive Psychology | Jul 1992 | 1,911 |
| 50 | Forecasting and testing in co-integrated systems Robert F. Engle, Byung Sam Yoo · Journal of Econometrics | May 1987 | 1,887 |
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.