| Quantifying the lag time to detect barriers in landscape genetics EL Landguth, SA Cushman, MK Schwartz, KS McKelvey, M Murphy, ... Molecular ecology 19 (19), 4179-4191, 2010 | 558 | 2010 |
| Spurious correlations and inference in landscape genetics SA Cushman, EL Landguth Molecular ecology 19 (17), 3592-3602, 2010 | 324 | 2010 |
| Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes BR Forester, MR Jones, S Joost, EL Landguth, JR Lasky Molecular ecology 25 (1), 104-120, 2016 | 268 | 2016 |
| Why replication is important in landscape genetics: American black bear in the Rocky Mountains RA Short Bull, SA Cushman, R Mace, T Chilton, KC Kendall, EL Landguth, ... Molecular ecology 20 (6), 1092-1107, 2011 | 244 | 2011 |
| cdpop: A spatially explicit cost distance population genetics program EL Landguth, SA Cushman Molecular ecology resources 10 (1), 156-161, 2010 | 238 | 2010 |
| UNICOR: a species connectivity and corridor network simulator EL Landguth, BK Hand, J Glassy, SA Cushman, MA Sawaya Ecography 35 (1), 9-14, 2012 | 207 | 2012 |
| Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern EL Landguth, BC Fedy, SJ OYLER‐McCANCE, AL Garey, SL Emel, ... Molecular Ecology Resources 12 (2), 276-284, 2012 | 200 | 2012 |
| Scale dependent inference in landscape genetics SA Cushman, EL Landguth Landscape ecology 25, 967-979, 2010 | 198 | 2010 |
| Re-evaluating causal modeling with Mantel tests in landscape genetics SA Cushman, TN Wasserman, EL Landguth, AJ Shirk Diversity 5 (1), 51-72, 2013 | 168 | 2013 |
| A comparison of individual‐based genetic distance metrics for landscape genetics AJ Shirk, EL Landguth, SA Cushman Molecular Ecology Resources 17 (6), 1308-1317, 2017 | 156 | 2017 |
| A simulation‐based evaluation of methods for inferring linear barriers to gene flow C Blair, DE Weigel, M Balazik, ATH Keeley, FM Walker, E Landguth, ... Molecular Ecology Resources 12 (5), 822-833, 2012 | 155 | 2012 |
| A comparison of regression methods for model selection in individual‐based landscape genetic analysis AJ Shirk, EL Landguth, SA Cushman Molecular ecology resources 18 (1), 55-67, 2018 | 147 | 2018 |
| Separating the effects of habitat area, fragmentation and matrix resistance on genetic differentiation in complex landscapes SA Cushman, A Shirk, EL Landguth Landscape ecology 27, 369-380, 2012 | 146 | 2012 |
| Evaluating population connectivity for species of conservation concern in the American Great Plains SA Cushman, EL Landguth, CH Flather Biodiversity and Conservation 22, 2583-2605, 2013 | 142 | 2013 |
| High performance computation of landscape genomic models including local indicators of spatial association S Stucki, P Orozco‐terWengel, BR Forester, S Duruz, L Colli, C Masembe, ... Molecular Ecology Resources 17 (5), 1072-1089, 2017 | 139 | 2017 |
| Simulating the effects of climate change on population connectivity of American marten (Martes americana) in the northern Rocky Mountains, USA TN Wasserman, SA Cushman, AS Shirk, EL Landguth, JS Littell Landscape Ecology 27, 211-225, 2012 | 133 | 2012 |
| Multi-taxa population connectivity in the Northern Rocky Mountains SA Cushman, EL Landguth Ecological Modelling 231, 101-112, 2012 | 129 | 2012 |
| Maintaining tiger connectivity and minimizing extinction into the next century: Insights from landscape genetics and spatially-explicit simulations P Thatte, A Joshi, S Vaidyanathan, E Landguth, U Ramakrishnan Biological Conservation 218, 181-191, 2018 | 125 | 2018 |
| Landscape genetics and limiting factors SA Cushman, AJ Shirk, EL Landguth Conservation Genetics 14, 263-274, 2013 | 118 | 2013 |
| Multiple-scale prediction of forest loss risk across Borneo SA Cushman, EA Macdonald, EL Landguth, Y Malhi, DW Macdonald Landscape Ecology 32, 1581-1598, 2017 | 115 | 2017 |