Check mathematics papers: citations, claims and retractions

Tackling the anxiety of learning statistics: The mystery of the red envelope

Robinson, M. A., Soublière, J., Agogué, M., Grégoire, D. A., Rua, T., & Plourde, Y. (2023) · Decision Sciences Journal of Innovative Education

Statistics Education and MethodologiesEducational Games and Gamification

Cited by 1

Predictive Validity of the Algebra Concept Inventory (ACI): The Importance of Algebraic Conceptual Understanding to College Math and STEM Outcomes

Wladis, C., Sencindiver, B., Hachey, A. C., Myszkowski, N., Offenholley, K., Samuels, J., & Aly, G. (2026) · AERA Open

Mathematics Education and ProgramsStatistics Education and Methodologies

Cited by 1

Random walks on the torus with several generators

Prescott, T., & Su, F. E. (2004) · Random Structures & Algorithms

Mathematical Dynamics and FractalsMathematical Approximation and Integration

Cited by 1

Simultaneous confidence intervals for ranks with application to ranking institutions

Al Mohamad, D., Goeman, J. J., & van Zwet, E. W. (2022) · Biometrics

Probability and Statistical ResearchStatistical Methods and Inference

Cited by 1

Lower bounds for high derivatives of smooth functions with given zeros

Goldman, G., & Yomdin, Y. (2024) · arXiv

Analytic and geometric function theoryHolomorphic and Operator Theory

Cited by 1

The traversal of the infinite: considering a beginning for an infinite past

Viglione, F. (2024) · Synthese

History and Theory of Mathematics

Cited by 1

Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data

Gagnon-Bartsch, J. A., Sales, A. C., Wu, E., Botelho, A. F., Erickson, J. A., Miratrix, L. W., & Heffernan, N. T. (2021) · arXiv

Advanced Causal Inference TechniquesOptimal Experimental Design Methods

Cited by 1

Sample size and power calculations for causal inference of observational studies

Liu, B., Yang, C., & Li, F. (2025) · arXiv

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 1

Time and Frequency Domain Analysis of Signals: A Review

Ambaye, G. A. (2020) · IJERT.ORG

Mathematical Analysis and Transform MethodsAdvanced Electrical Measurement Techniques

Cited by 1

Mathematical Reasoning Ability of Junior High School Students: Application of Discovery Learning Model

Mokoginta, A. P., Hulukati, E. P., & Kobandaha, P. E. (2025) · ETDC: Indonesian Journal of Research and Educational Review

Mathematics Education and PedagogyMathematics Education and Teaching Techniques

Cited by 1

Causal Duration Analysis With Diff‐in‐Diff

Deaner, B., & Ku, H. (2024) · arXiv

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 1

COVID-19: profile of Brazilian workers of a mining company and the dynamic of community cases

Parajára, M. D. C., Silva, J. I. D., Menezes-Júnior, L. A. A. D., Sales, A. D. F., Friche, A. A. D. L., Machado, E. L., Silva, L. S., Andrade, A. C. D. S., Freitas, S. N. D., Caiaffa, W. T., et al. (2023) · Revista Brasileira de Saúde Ocupacional

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 1

Aligning Model Properties via Conformal Risk Control

Overman, W., Vallon, J. J., & Bayati, M. (2024) · arXiv

Statistical Methods and InferenceAdversarial Robustness in Machine Learning

Cited by 1

Simple versus nonsimple loops on random regular graphs

Dozier, B., & Sapir, J. (2024) · Journal of Graph Theory

Limits and Structures in Graph TheoryStochastic processes and statistical mechanics

Cited by 1

FastMCTS: A Simple Sampling Strategy for Data Synthesis

Li, P., Lv, K., Shao, Y., Ma, Y., Li, L., Zheng, X., Qiu, X., & Guo, Q. (2025) · arXiv

Markov Chains and Monte Carlo MethodsArtificial Intelligence in Games

Cited by 0

Fuzzy Differences-in-Differences

De Chaisemartin, C., D'Haultfoeuille, X., De Chaisemartin, C., & D'Haultfoeuille, X. (2015) · Unknown

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 0

Mathematical Concept Understanding of Middle School Students: An Experimental Study of the Discovery Learning Model

Ranggoli, P. W., Achmad, N., & Kobandaha, P. E. (2025) · ETDC: Indonesian Journal of Research and Educational Review

Mathematics Education and PedagogyMathematics Education and Teaching Techniques

Cited by 0

Keep-Alive Caching for the Hawkes process

Narayana, S., & Kash, I. A. (2023) · arXiv

Point processes and geometric inequalities

Cited by 0

Modeling with Differential Equation

Fox, W. P. (2021) · Mathematical Modeling in the Age of a Pandemic

Mathematical and Computational MethodsNonlinear Differential Equations Analysis

Cited by 0

The Single-Sample t Test

Sheskin, D. J. (2020) · Handbook of Parametric and Nonparametric Statistical Procedures

Probability and Statistical ResearchStatistics Education and Methodologies

Cited by 0

History of Magic Squares

Block, S. S., & Tavares, S. A. (2009) · Before Sudoku

History and Theory of MathematicsHistorical, Religious, and Philosophical Studies

Cited by 0

The nuances and scope of noninferiority trials

Dayanidhi, S. (2025) · National Journal of Pharmacology and Therapeutics

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 0

Generating shrinkers by mean curvature flow: Dedicated to Tom Ilmanen (1961–2025)

Hoffman, D., Martín, F., & White, B. (2026) · Mathematische Annalen

Geometric Analysis and Curvature FlowsAdvanced Differential Geometry Research

Cited by 0

A Deep Model Framework for Morphological Trait Imputation Across Taxonomic Groups

Wang, Y., Shi, X., Bai, Y., Zhu, H., Yin, X., Song, P., Ergu, D., Zhang, T., Pan, S., Gu, Z., et al. (2026) · Integrative Zoology

Morphological variations and asymmetryEcology and Vegetation Dynamics Studies

Cited by 0