| Continuous‐time correlated random walk model for animal telemetry data DS Johnson, JM London, MA Lea, JW Durban Ecology 89 (5), 1208-1215, 2008 | 710 | 2008 |
| Alaska marine mammal stock assessments, 2020 MM Muto, VT Helker, BJ Delean, NC Young, JC Freed, RP Angliss, ... | 213 | 2021 |
| Estimating multispecies abundance using automated detection systems: ice‐associated seals in the Bering Sea PB Conn, JM Ver Hoef, BT McClintock, EE Moreland, JM London, ... Methods in Ecology and Evolution 5 (12), 1280-1293, 2014 | 113 | 2014 |
| Haul-out behavior of harbor seals (Phoca vitulina) in Hood Canal, Washington JM London, JM Ver Hoef, SJ Jeffries, MM Lance, PL Boveng PLoS One 7 (6), e38180, 2012 | 89 | 2012 |
| crawl: an R package for fitting continuous-time correlated random walk models to animal movement data DS Johnson, JM London Zenodo doi 10, 2018 | 86 | 2018 |
| Viral emergence in marine mammals in the North Pacific may be linked to Arctic sea ice reduction E VanWormer, JAK Mazet, A Hall, VA Gill, PL Boveng, JM London, ... Scientific Reports 9 (1), 1-11, 2019 | 82 | 2019 |
| Modelling animal movement using the Argos satellite telemetry location error ellipse BT McClintock, JM London, MF Cameron, PL Boveng Methods in Ecology and Evolution 6 (3), 266-277, 2015 | 73 | 2015 |
| Status review of the ribbon seal (Histriophoca fasciata) PL Boveng, JL Bengtson, MF Cameron, SP Dahle, EA Logerwell, ... | 70 | 2013 |
| Bridging the gaps in animal movement: hidden behaviors and ecological relationships revealed by integrated data streams BT McClintock, JM London, MF Cameron, PL Boveng Ecosphere 8 (3), e01751, 2017 | 64 | 2017 |
| Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts PB Conn, DS Johnson, JMV Hoef, MB Hooten, JM London, PL Boveng Ecological Monographs 85 (2), 235-252, 2015 | 54 | 2015 |
| A spatial hierarchical model for abundance of three ice-associated seal species in the eastern Bering Sea JM Ver Hoef, MF Cameron, PL Boveng, JM London, EE Moreland Statistical Methodology 17, 46-66, 2014 | 52 | 2014 |
| Dynamic social networks based on movement HR Scharf, MB Hooten, BK Fosdick, DS Johnson, JM London, JW Durban | 48 | 2016 |
| Fast computing of some generalized linear mixed pseudo-models with temporal autocorrelation JM Ver Hoef, JM London, PL Boveng Computational Statistics 25, 39-55, 2010 | 42 | 2010 |
| A multi-species synthesis of satellite telemetry data in the Pacific Arctic (1987–2015): overlap of marine mammal distributions and core use areas JJ Citta, LF Lowry, LT Quakenbush, BP Kelly, AS Fischbach, JM London, ... Deep Sea Research Part II: Topical Studies in Oceanography 152, 132-153, 2018 | 38 | 2018 |
| Bayesian inference for animal space use and other movement metrics DS Johnson, JM London, CE Kuhn Journal of agricultural, biological, and environmental statistics 16, 357-370, 2011 | 37 | 2011 |
| Observations of harbor seal predation on Hood Canal salmonids from 1998 to 2000 JM London, MM Lance, S Jeffries Washington Department of Fish and Wildlife, 2002 | 35 | 2002 |
| Alaska marine mammal stock assessments, 2020. US Dep. Commer MM Muto, VT Helker, BJ Delean, NC Young, JC Freed, RP Angliss, ... NOAA Tech. Memo. NMFS-AFSC 421, 398, 2021 | 33 | 2021 |
| Harbor seals in Hood Canal: predators and prey JM London University of Washington, 2006 | 33 | 2006 |
| Marine mammal hotspots across the circumpolar Arctic CD Hamilton, C Lydersen, J Aars, M Acquarone, T Atwood, A Baylis, ... Diversity and Distributions 28 (12), 2729-2753, 2022 | 20 | 2022 |
| Foraging preferences of an apex marine predator revealed through stomach content and stable isotope analyses SM McCluskey, KR Sprogis, JM London, L Bejder, NR Loneragan Global Ecology and Conservation 25, e01396, 2021 | 18 | 2021 |
