Most-cited papers on Small Sample Size and Generalizability

Ranked by citation count via OpenAlex. Citations update on a rolling basis; list regenerates every 24h.

1. Solving the small sample size problem in face recognition using generalized discriminant analysis

   2005 · Pattern Recognition · Howland, Peg, Wang, Jianlin, Park, Haesun

   120 cited

2. Approximated fast estimator for the shape parameter of generalized Gaussian distribution for a small sample size

   2015 · Bulletin of the Polish Academy of Sciences Technical Sciences · Krupiński, Robert

   15 cited

3. Generalized nonlinear discriminant analysis and its small sample size problems

   2010 · Neurocomputing · Zhang, Li, Zhou, Wei Da, Chang, Pei‐Chann

   11 cited

4. Parameter Estimations of the Generalized Extreme Value Distributions for Small Sample Size

   2020 · Mathematics and Statistics · Roslan, RaziraAniza, Chin, Su Na, Gabda, Darmesah

   10 cited

5. Power failure: why small sample size undermines the reliability of neuroscience

   2013 · Nature reviews. Neuroscience · Button, Katherine S., Ioannidis, John P. A., Mokrysz, Claire et al.

   7,784 cited

6. A new LDA-based face recognition system which can solve the small sample size problem

   2000 · Pattern Recognition · Chen, Li‐Fen, Liao, Hong-Yuan Mark, Ko, Ming‐Tat et al.

   1,437 cited

7. Small sample size effects in statistical pattern recognition: recommendations for practitioners

   1991 · IEEE Transactions on Pattern Analysis and Machine Intelligence · Raudys, Šarūnas, Jain, Anil K.

   1,387 cited

8. Exploratory Factor Analysis With Small Sample Sizes

   2009 · Multivariate Behavioral Research · Winter*, J. C. F. de, Dodou, Dimitra, Wieringa, P.A.

   1,130 cited

9. Very deep convolutional neural network based image classification using small training sample size

   2015 · Liu, Shuying, Deng, Weihong

   1,035 cited

10. Using the Student's t-test with extremely small sample sizes

    2020 · Winter, Joost de

    998 cited

11. Impact of liver biopsy size on histological evaluation of chronic viral hepatitis: the smaller the sample, the milder the disease

    2003 · Journal of Hepatology · Colloredo, Guido, Guido, Maria, Sonzogni, Aurelio et al.

    861 cited

12. The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration

    2014 · Educational Psychology Review · McNeish, Daniel, Stapleton, Laura M.

    676 cited

13. Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes

    2013 · Ecological Modelling · Shcheglovitova, Mariya, Anderson, Robert P.

    609 cited

14. Does PLS Have Advantages for Small Sample Size or Non-Normal Data?1

    2012 · MIS Quarterly · Goodhue, ', Lewis, Thompson

    593 cited

15. The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon

    1994 · IEEE Transactions on Geoscience and Remote Sensing · Shahshahani, B.M., Landgrebe, D. A.

    577 cited

16. Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes

    2004 · Multivariate Behavioral Research · Lee, Sik‐Yum, Song, Xin-Yuan

    484 cited

17. The use of item parcels in structural equation modelling: Non‐normal data and small sample sizes

    2004 · British Journal of Mathematical and Statistical Psychology · Hau, Kit‐Tai, Marsh, Herbert W.

    458 cited

18. Forced-choice staircases with fixed step sizes: asymptotic and small-sample properties

    1998 · Vision Research · Garcı́a-Pérez, Miguel A.

    447 cited

19. Exploratory Factor Analysis in Behavior Genetics Research: Factor Recovery with Small Sample Sizes

    2002 · Behavior Genetics · Preacher, Kristopher J., MacCallum, Robert C.

    420 cited

20. Small sample sizes reduce the replicability of task-based fMRI studies

    2018 · Communications Biology · Turner, Benjamin O., Paul, Erick J., Miller, Michael B. et al.

    412 cited

21. Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology

    2014 · Personality and Individual Differences · Willaby, Harold W., Costa, Daniel, Burns, Bruce D. et al.

    397 cited

22. Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method

    2017 · Statistics in Medicine · Dwivedi, Alok, Mallawaarachchi, Indika, Alvarado, Luis

    335 cited

23. Bias caused by sampling error in meta-analysis with small sample sizes

    2018 · PLoS ONE · Lin, Lifeng

    326 cited

24. Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition

    2004 · Pattern Recognition Letters · Lu, Juwei, Plataniotis, Konstantinos N., Venetsanopoulos, A.N.

    306 cited

25. PLS, Small Sample Size, and Statistical Power in MIS Research

    2006 · Goodhue, Dale L., Lewis, William W., Thompson, Ron

    301 cited

26. Does PLS have advantages for small sample size or non-normal data?

    2012 · MIS Quarterly · Goodhue, Dale L., Lewis, William W., Thompson, Ron

    298 cited

27. The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models

    2011 · Ecography · Bean, William T., Stafford, Robert, Brashares, Justin S.

    297 cited

28. Solving the small sample size problem of LDA

    2003 · Huang, Rui, Liu, Qingshan, Lu, Hanqing et al.

    296 cited

29. Linear discriminant analysis for the small sample size problem: an overview

    2014 · International Journal of Machine Learning and Cybernetics · Sharma, Alok, Paliwal, K.K.

    285 cited

30. Evaluation of the Propensity score methods for estimating marginal odds ratios in case of small sample size

    2012 · BMC Medical Research Methodology · Pirracchio, Romain, Resche‐Rigon, Matthieu, Chevret, Sylvie

    260 cited