| A Bayesian approach for estimating length‐weight relationships in fishes R Froese, JT Thorson, RB Reyes Jr Journal of Applied Ichthyology 30 (1), 78-85, 2014 | 584 | 2014 |
| Impacts of historical warming on marine fisheries production CM Free, JT Thorson, ML Pinsky, KL Oken, J Wiedenmann, OP Jensen Science 363 (6430), 979-983, 2019 | 532 | 2019 |
| Multispecies fisheries management and conservation: tactical applications using models of intermediate complexity ÉE Plagányi, AE Punt, R Hillary, EB Morello, O Thébaud, T Hutton, ... Fish and Fisheries 15 (1), 1-22, 2014 | 400 | 2014 |
| Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes JT Thorson, AO Shelton, EJ Ward, HJ Skaug ICES Journal of Marine Science 72 (5), 1297-1310, 2015 | 320 | 2015 |
| Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments JT Thorson Fisheries Research 210, 143-161, 2019 | 286 | 2019 |
| Incorporating time-varying catchability into population dynamic stock assessment models MJ Wilberg, JT Thorson, BC Linton, J Berkson Reviews in Fisheries Science 18 (1), 7-24, 2009 | 264 | 2009 |
| Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo CC Monnahan, JT Thorson, TA Branch Methods in Ecology and Evolution 8 (3), 339-348, 2017 | 249 | 2017 |
| Comparing estimates of abundance trends and distribution shifts using single-and multispecies models of fishes and biogenic habitat JT Thorson, LAK Barnett ICES Journal of Marine Science 74 (5), 1311-1321, 2017 | 218 | 2017 |
| Linking fishing mortality reference points to life history traits: an empirical study S Zhou, S Yin, JT Thorson, ADM Smith, M Fuller Canadian Journal of Fisheries and Aquatic Sciences 69 (8), 1292-1301, 2012 | 213 | 2012 |
| Predicting life history parameters for all fishes worldwide JT Thorson, SB Munch, JM Cope, J Gao Ecological Applications 27 (8), 2262-2276, 2017 | 207 | 2017 |
| Eco-label conveys reliable information on fish stock health to seafood consumers NL Gutiérrez, SR Valencia, TA Branch, DJ Agnew, JK Baum, PL Bianchi, ... Public Library of Science 7 (8), e43765, 2012 | 206 | 2012 |
| Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range JT Thorson, MD Scheuerell, AO Shelton, KE See, HJ Skaug, K Kristensen Methods in Ecology and Evolution 6 (6), 627-637, 2015 | 173 | 2015 |
| Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring JT Thorson, JN Ianelli, EA Larsen, L Ries, MD Scheuerell, C Szuwalski, ... Global Ecology and Biogeography 25 (9), 1144-1158, 2016 | 171 | 2016 |
| Spatial semiparametric models improve estimates of species abundance and distribution AO Shelton, JT Thorson, EJ Ward, BE Feist Canadian Journal of Fisheries and Aquatic Sciences 71 (11), 1655-1666, 2014 | 164 | 2014 |
| Spawning biomass reference points for exploited marine fishes, incorporating taxonomic and body size information JT Thorson, JM Cope, TA Branch, OP Jensen Canadian Journal of Fisheries and Aquatic Sciences 69 (9), 1556-1568, 2012 | 151 | 2012 |
| Mixed effects: a unifying framework for statistical modelling in fisheries biology JT Thorson, C Minto ICES Journal of Marine Science 72 (5), 1245-1256, 2015 | 144 | 2015 |
| Developing new approaches to global stock status assessment and fishery production potential of the seas AA Rosenberg, MJ Fogarty, AB Cooper, M Dickey-Collas, EA Fulton, ... FAO Fisheries and Aquaculture Circular, 0_1, 2014 | 141 | 2014 |
| Accounting for variable recruitment and fishing mortality in length-based stock assessments for data-limited fisheries MB Rudd, JT Thorson Canadian Journal of Fisheries and Aquatic Sciences 75 (7), 1019-1035, 2018 | 137 | 2018 |
| Model‐based inference for estimating shifts in species distribution, area occupied and centre of gravity JT Thorson, ML Pinsky, EJ Ward Methods in Ecology and Evolution 7 (8), 990-1002, 2016 | 137 | 2016 |
| Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model JT Thorson Fish and Fisheries 21 (2), 237-251, 2020 | 118 | 2020 |
Andre E. PuntProfessor, Aquatic and Fishery Sciences, University of WashingtonVerified email at uw.edu
