Check mathematics papers: citations, claims and retractions

Fractional Fourier transforms and their optical implementation: I

Mendlovic, D., & Ozaktas, H. M. (1993) · Journal of the Optical Society of America A

Mathematical Analysis and Transform MethodsFractional Differential Equations Solutions

Cited by 848

Intraclass Correlation Values for Planning Group-Randomized Trials in Education

Hedges, L. V., & Hedberg, E. C. (2007) · Educational Evaluation and Policy Analysis

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 847

Estimating and testing mediation and moderation in within-subject designs.

Judd, C. M., Kenny, D. A., & McClelland, G. H. (2001) · Psychological Methods

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 846

Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications

Levin, A. T., Hanage, W. P., Owusu-Boaitey, N., Cochran, K. B., Walsh, S. P., & Meyerowitz-Katz, G. (2020) · European Journal of Epidemiology

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 844

A pragmatic view on pragmatic trials

Patsopoulos, N. A. (2011) · Dialogues in Clinical Neuroscience

Statistical Methods in Clinical TrialsHealth Policy Implementation Science

Cited by 844

WINPEPI updated: computer programs for epidemiologists, and their teaching potential

Abramson, J. H. (2011) · Epidemiologic Perspectives & Innovations

Statistical Methods in EpidemiologyStatistics Education and Methodologies

Cited by 844

Markov chain Monte Carlo method and its application

Brooks, S. (1998) · Journal of the Royal Statistical Society: Series D (The Statistician)

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 843

The Lancet Commission on lessons for the future from the COVID-19 pandemic

Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet

COVID-19 epidemiological studiesLegal, Health, Environmental and COVID-19 Challenges

Cited by 842

Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty-III: The Dimension of the Space of Essentially Time- and Band-Limited Signals

Landau, H. J., & Pollak, H. O. (1962) · Bell System Technical Journal

Mathematical Analysis and Transform MethodsSparse and Compressive Sensing Techniques

Cited by 839

Robustness issues in multilevel regression analysis

Maas, C. J. M., & Hox, J. J. (2004) · Statistica Neerlandica

Statistical Methods and Bayesian InferenceSurvey Sampling and Estimation Techniques

Cited by 837

Cognitive predictors of achievement growth in mathematics: A 5-year longitudinal study.

Geary, D. C. (2011) · Developmental Psychology

Cognitive and developmental aspects of mathematical skillsCognitive Abilities and Testing

Cited by 836

Population flow drives spatio-temporal distribution of COVID-19 in China

Jia, J. S., Lu, X., Yuan, Y., Xu, G., Jia, J., & Christakis, N. A. (2020) · Nature

COVID-19 epidemiological studiesData-Driven Disease Surveillance

Cited by 835

Randomized versus historical controls for clinical trials

Sacks, H., Chalmers, T. C., & Smith, H. (1982) · The American Journal of Medicine

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 834

Quantum Invariants of Knots and 3-Manifolds

Turaev, V. G. (1994) · De Gruyter eBooks

Geometric and Algebraic TopologyAlgebraic structures and combinatorial models

Cited by 832

For objective causal inference, design trumps analysis

Rubin, D. B. (2008) · The Annals of Applied Statistics

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 831

A review of the healthy worker effect in occupational epidemiology

Li, C.-Y., & Sung, F.-C. (1999) · Occupational Medicine

Statistical Methods in EpidemiologyOccupational Health and Safety in Workplaces

Cited by 829

SELF-REGULATION OF GROWTH IN THREE DIMENSIONS

Folkman, J., & Hochberg, M. (1973) · The Journal of Experimental Medicine

Mathematical Biology Tumor GrowthCancer Cells and Metastasis

Cited by 829

Adaptive designs in clinical trials: why use them, and how to run and report them

Pallmann, P., Bedding, A. W., Choodari-Oskooei, B., Dimairo, M., Flight, L., Hampson, L. V., Holmes, J., Mander, A. P., Odondi, L., Sydes, M. R., et al. (2018) · BMC Medicine

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 829

Generalized Langevin equation approach for atom/solid-surface scattering: General formulation for classical scattering off harmonic solids

Adelman, S. A., & Doll, J. D. (1976) · The Journal of Chemical Physics

Gas Dynamics and Kinetic TheoryAdvanced Physical and Chemical Molecular Interactions

Cited by 827

Collider bias undermines our understanding of COVID-19 disease risk and severity

Griffith, G. J., Morris, T. T., Tudball, M. J., Herbert, A., Mancano, G., Pike, L., Sharp, G. C., Sterne, J., Palmer, T. M., Davey Smith, G., et al. (2020) · Nature Communications

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 826

Philosophy and the practice of Bayesian statistics

Gelman, A., & Shalizi, C. R. (2013) · British Journal of Mathematical and Statistical Psychology

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 825

Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability

Geary, D. C., Hoard, M. K., Byrd-Craven, J., Nugent, L., & Numtee, C. (2007) · Child Development

Cognitive and developmental aspects of mathematical skillsDevelopmental and Educational Neuropsychology

Cited by 824

Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research

Riley, R. D., Hayden, J. A., Steyerberg, E. W., Moons, K. G. M., Abrams, K., Kyzas, P. A., Malats, N., Briggs, A., Schroter, S., Altman, D. G., et al. (2013) · PLoS Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 823

Machine Learning Methods Without Tears: A Primer for Ecologists

Olden, J. D., Lawler, J. J., & Poff, N. L. (2008) · The Quarterly Review of Biology

Statistical Methods and ApplicationsSpecies Distribution and Climate Change

Cited by 823