| Bayesian network classifiers N Friedman, D Geiger, M Goldszmidt Machine learning 29, 131-163, 1997 | 7257 | 1997 |
| Learning Bayesian networks: The combination of knowledge and statistical data D Heckerman, D Geiger, DM Chickering Machine learning 20, 197-243, 1995 | 5767 | 1995 |
| Identifying independence in Bayesian networks D Geiger, T Verma, J Pearl Networks 20 (5), 507-534, 1990 | 738 | 1990 |
| Learning gaussian networks D Geiger, D Heckerman Uncertainty in Artificial Intelligence, 235-243, 1994 | 665 | 1994 |
| Knowledge representation and inference in similarity networks and Bayesian multinets D Geiger, D Heckerman Artificial Intelligence 82 (1-2), 45-74, 1996 | 322 | 1996 |
| Exact genetic linkage computations for general pedigrees M Fishelson, D Geiger Computer Science Department, Technion, 2002 | 315 | 2002 |
| d-separation: From theorems to algorithms D Geiger, T Verma, J Pearl Machine intelligence and pattern recognition 10, 139-148, 1990 | 289 | 1990 |
| Density-based indexing method for efficient execution of high dimensional nearest-neighbor queries on large databases U Fayyad, KP Bennett, D Geiger US Patent 6,263,334, 2001 | 266 | 2001 |
| Learning Bayesian networks: a unification for discrete and Gaussian domains D Heckerman, D Geiger arXiv preprint arXiv:1302.4957, 2013 | 241 | 2013 |
| Logical and algorithmic properties of conditional independence and graphical models D Geiger, J Pearl The annals of statistics 21 (4), 2001-2021, 1993 | 239* | 1993 |
| On the toric algebra of graphical models D Geiger, C Meek, B Sturmfels | 238 | 2006 |
| Approximation algorithms for the feedback vertex set problem with applications to constraint satisfaction and Bayesian inference R Bar-Yehuda, D Geiger, J Naor, RM Roth SIAM journal on computing 27 (4), 942-959, 1998 | 238 | 1998 |
| Quantitative analysis of population-scale family trees with millions of relatives J Kaplanis, A Gordon, T Shor, O Weissbrod, D Geiger, M Wahl, ... Science 360 (6385), 171-175, 2018 | 237 | 2018 |
| Parameter priors for directed acyclic graphical models and the characterization of several probability distributions D Geiger, D Heckerman The Annals of Statistics 30 (5), 1412-1440, 2002 | 226 | 2002 |
| A mutation in SNAP29, coding for a SNARE protein involved in intracellular trafficking, causes a novel neurocutaneous syndrome characterized by cerebral dysgenesis, neuropathy … E Sprecher, A Ishida-Yamamoto, M Mizrahi-Koren, D Rapaport, ... The American Journal of Human Genetics 77 (2), 242-251, 2005 | 217 | 2005 |
| On the logic of causal models D Geiger, J Pearl Machine intelligence and pattern recognition 9, 3-14, 1990 | 212 | 1990 |
| Stratified exponential families: graphical models and model selection D Geiger, D Heckerman, H King, C Meek The Annals of statistics 29 (2), 505-529, 2001 | 192 | 2001 |
| Polyadenylation and degradation of human mitochondrial RNA: the prokaryotic past leaves its mark S Slomovic, D Laufer, D Geiger, G Schuster Molecular and cellular biology, 2005 | 189 | 2005 |
| Spinal muscular atrophy with pontocerebellar hypoplasia is caused by a mutation in the VRK1 gene P Renbaum, E Kellerman, R Jaron, D Geiger, R Segel, M Lee, MC King, ... The American Journal of Human Genetics 85 (2), 281-289, 2009 | 181 | 2009 |
| Randomized algorithms for the loop cutset problem A Becker, R Bar-Yehuda, D Geiger Journal of Artificial Intelligence Research 12, 219-234, 2000 | 177 | 2000 |
