| Causation, prediction, and search P Spirtes, C Glymour, R Scheines MIT press, 2001 | 11093 | 2001 |
| Theory and evidence CN Glymour | 1834 | 1980 |
| A theory of causal learning in children: causal maps and Bayes nets. A Gopnik, C Glymour, DM Sobel, LE Schulz, T Kushnir, D Danks Psychological review 111 (1), 3, 2004 | 1622 | 2004 |
| An algorithm for fast recovery of sparse causal graphs P Spirtes, C Glymour Social science computer review 9 (1), 62-72, 1991 | 1122 | 1991 |
| Review of causal discovery methods based on graphical models C Glymour, K Zhang, P Spirtes Frontiers in genetics 10, 524, 2019 | 822 | 2019 |
| Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation. A Gopnik, DM Sobel, LE Schulz, C Glymour Developmental psychology 37 (5), 620, 2001 | 714 | 2001 |
| Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling C Glymour, R Scheines, P Spirtes Academic Press, 2014 | 670 | 2014 |
| Inferring causation from time series in Earth system sciences J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ... Nature communications 10 (1), 2553, 2019 | 660 | 2019 |
| The mind's arrows: Bayes nets and graphical causal models in psychology CN Glymour MIT press, 2001 | 609 | 2001 |
| Computation, causation, and discovery CN Glymour, GF Cooper (No Title), 1999 | 529 | 1999 |
| Six problems for causal inference from fMRI JD Ramsey, SJ Hanson, C Hanson, YO Halchenko, RA Poldrack, ... neuroimage 49 (2), 1545-1558, 2010 | 386 | 2010 |
| Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf International conference on machine learning, 2839-2848, 2016 | 383 | 2016 |
| Statistical themes and lessons for data mining C Glymour, D Madigan, D Pregibon, P Smyth Data mining and knowledge discovery 1, 11-28, 1997 | 363 | 1997 |
| A million variables and more: the fast greedy equivalence search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic … J Ramsey, M Glymour, R Sanchez-Romero, C Glymour International journal of data science and analytics 3, 121-129, 2017 | 339 | 2017 |
| Preschool children learn about causal structure from conditional interventions LE Schulz, A Gopnik, C Glymour Developmental science 10 (3), 322-332, 2007 | 310 | 2007 |
| The TETRAD project: Constraint based aids to causal model specification R Scheines, P Spirtes, C Glymour, C Meek, T Richardson Multivariate Behavioral Research 33 (1), 65-117, 1998 | 296 | 1998 |
| An evaluation of machine-learning methods for predicting pneumonia mortality GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ... Artificial intelligence in medicine 9 (2), 107-138, 1997 | 293 | 1997 |
| Learning the Structure of Linear Latent Variable Models. R Silva, R Scheines, C Glymour, P Spirtes, DM Chickering Journal of Machine Learning Research 7 (2), 2006 | 274 | 2006 |
| Introduction to the Philosophy of Science MH Salmon, C Glymour Hackett Publishing, 1999 | 273 | 1999 |
| Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study Z Burgansky-Eliash, G Wollstein, T Chu, JD Ramsey, C Glymour, ... Investigative ophthalmology & visual science 46 (11), 4147-4152, 2005 | 245 | 2005 |
