Check mathematics papers: citations, claims and retractions

A Course in Metric Geometry

Burago, D., Burago, Y., & Ivanov, S. (2001) · Graduate Studies in Mathematics

Geometric Analysis and Curvature FlowsAdvanced Differential Geometry Research

Cited by 2,598

An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

Strobl, C., Malley, J., & Tutz, G. (2009) · Psychological Methods

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 2,583

Review: a gentle introduction to imputation of missing values.

Donders, A. R. T., van der Heijden, G. J. M. G., Stijnen, T., & Moons, K. G. M. (2006) · Journal of Clinical Epidemiology

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 2,582

MCMC Using Hamiltonian Dynamics

Neal, R. M. (2011) · Handbook of Markov Chain Monte Carlo

Markov Chains and Monte Carlo MethodsTheoretical and Computational Physics

Cited by 2,574

Fast Discrete Curvelet Transforms

Candès, E., Demanet, L., Donoho, D., & Ying, L. (2006) · Multiscale Modeling & Simulation

Mathematical Analysis and Transform MethodsImage and Signal Denoising Methods

Cited by 2,573

Design and analysis of pilot studies: recommendations for good practice

Lancaster, G. A., Dodd, S., & Williamson, P. R. (2004) · Journal of Evaluation in Clinical Practice

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 2,572

Sample size determination and power analysis using the G*Power software

Kang, H. (2021) · Journal of Educational Evaluation for Health Professions

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 2,572

Mediators and Moderators of Treatment Effects in Randomized Clinical Trials

Kraemer, H. C., Wilson, G. T., Fairburn, C. G., & Agras, W. S. (2002) · Archives of General Psychiatry

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 2,562

CONSORT statement: extension to cluster randomised trials

Campbell, M. K., Elbourne, D. R., & Altman, D. G. (2004) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 2,557

Amelia II: A Program for Missing Data

Honaker, J., King, G., & Blackwell, M. (2011) · Journal of Statistical Software

Statistical Methods and Bayesian InferenceData Analysis with R

Cited by 2,552

Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., Sun, F., et al. (2020) · The Lancet Global Health

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 2,550

Probabilistic programming in Python using PyMC3

Salvatier, J., Wiecki, T. V., & Fonnesbeck, C. (2016) · PeerJ Computer Science

Markov Chains and Monte Carlo MethodsBayesian Modeling and Causal Inference

Cited by 2,544

The collinearity problem in linear regression. The Partial Least Squares (PLS) approach to generalized inverses

Wold, S., Ruhe, A., Wold, H., & Dunn, III (1984) · SIAM Journal on Scientific and Statistical Computing

Advanced Statistical Methods and ModelsStatistical Methods and Applications

Cited by 2,529

Deep Convolutional Neural Network for Inverse Problems in Imaging

Jin, K. H., McCann, M. T., Froustey, E., & Unser, M. (2017) · IEEE Transactions on Image Processing

Numerical methods in inverse problemsMedical Imaging Techniques and Applications

Cited by 2,529

The problem of overfitting.

Hawkins, D. M. (2004) · Journal of Chemical Information and Computer Sciences

Statistical Methods and ApplicationsSpectroscopy and Chemometric Analyses

Cited by 2,522

High-dimensional graphs and variable selection with the Lasso

Meinshausen, N., & Bühlmann, P. (2006) · The Annals of Statistics

Statistical Methods and InferenceSparse and Compressive Sensing Techniques

Cited by 2,521

Bartik Instruments: What, When, Why, and How

Goldsmith-Pinkham, P., Sorkin, I., & Swift, H. (2020) · American Economic Review

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 2,521

Modelling spatial patterns.

Ripley, B. D. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Point processes and geometric inequalitiesSpatial and Panel Data Analysis

Cited by 2,511

Bayesian inference for causal effects: The role of randomization

Rubin, D. B. (1978) · The Annals of Statistics

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 2,503

A Note on Robust Variance Estimation for Cluster‐Correlated Data

Williams, R. L. (2000) · Biometrics

Survey Sampling and Estimation TechniquesStatistical Methods and Bayesian Inference

Cited by 2,501

Simulation Study of Confounder-Selection Strategies

Maldonado, G., & Greenland, S. (1993) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 2,491

A practical solution to the pervasive problems ofp values

Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 2,490

Random Geometric Graphs

Penrose, M. (2003) · Oxford University Press eBooks

Point processes and geometric inequalitiesComplex Network Analysis Techniques

Cited by 2,480

SIMR : an R package for power analysis of generalized linear mixed models by simulation

Green, P., & MacLeod, C. J. (2016) · Methods in Ecology and Evolution

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 2,467