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Ullrika Sahlin
Ullrika Sahlin
Verified email at cec.lu.se - Homepage
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Cited by
Year
The quality of the outdoor environment influences childrens health–a cross‐sectional study of preschools
M Söderström, C Boldemann, U Sahlin, F Mårtensson, A Raustorp, ...
Acta paediatrica 102 (1), 83-91, 2013
1682013
Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys
JR Kerr, CR Schneider, G Recchia, S Dryhurst, U Sahlin, C Dufouil, ...
BMJ open 11 (8), e048025, 2021
942021
Pollinator population size and pollination ecosystem service responses to enhancing floral and nesting resources
J Häussler, U Sahlin, C Baey, HG Smith, Y Clough
Ecology and evolution 7 (6), 1898-1908, 2017
862017
Invasive plant species in the Swedish flora: developing criteria and definitions, and assessing the invasiveness of individual taxa
T Tyler, T Karlsson, P Milberg, U Sahlin, S Sundberg
Nordic Journal of Botany 33 (3), 300-317, 2015
692015
Should I stay or should I go? Modelling dispersal strategies in saproxylic insects based on pheromone capture and radio telemetry: a case study on the threatened hermit beetle …
GP Svensson, U Sahlin, B Brage, MC Larsson
Biodiversity and conservation 20, 2883-2902, 2011
562011
Impacts of the EU's Common Agricultural Policy “Greening” reform on agricultural development, biodiversity, and ecosystem services
J Hristov, Y Clough, U Sahlin, HG Smith, M Stjernman, O Olsson, ...
Applied Economic Perspectives and Policy 42 (4), 716-738, 2020
552020
Experimental assessment of the environmental fate and effects of triazoles and benzotriazole
MK Durjava, B Kolar, L Arnus, E Papa, S Kovarich, U Sahlin, ...
Alternatives to Laboratory Animals 41 (1), 65-75, 2013
462013
Applicability domain dependent predictive uncertainty in QSAR regressions
U Sahlin, N Jeliazkova, T Öberg
Molecular Informatics 33 (1), 26-35, 2014
342014
Predictors of COVID-19 vaccine acceptance across time and countries
JR Kerr, CR Schneider, G Recchia, S Dryhurst, U Sahlin, C Dufouil, ...
MedRxiv, 2020.12. 09.20246439, 2020
332020
Researchers’ approaches to stakeholders: Interaction or transfer of knowledge?
Å Knaggård, D Slunge, A Ekbom, M Göthberg, U Sahlin
Environmental science & policy 97, 25-35, 2019
312019
PLS-Optimal: A stepwise D-optimal design based on latent variables
S Brandmaier, U Sahlin, IV Tetko, T Oberg
Journal of chemical information and modeling 52 (4), 975-983, 2012
282012
Uncertainty in QSAR predictions
U Sahlin
Alternatives to Laboratory Animals 41 (1), 111-125, 2013
272013
“This Is What We Don't Know”: Treating epistemic uncertainty in Bayesian networks for risk assessment
U Sahlin, I Helle, D Perepolkin
Integrated Environmental Assessment and Management 17 (1), 221-232, 2021
242021
Estimating effects of arable land use intensity on farmland birds using joint species modeling
M Stjernman, U Sahlin, O Olsson, HG Smith
Ecological applications 29 (4), e01875, 2019
212019
Time to establishment success for introduced signal crayfish in Sweden–a statistical evaluation when success is partially known
U Sahlin, HG Smith, L Edsman, G Bengtsson
Journal of applied ecology 47 (5), 1044-1052, 2010
212010
Evaluation of CADASTER QSAR models for the aquatic toxicity of (benzo) triazoles and prioritisation by consensus prediction
S Cassani, S Kovarich, E Papa, PP Roy, M Rahmberg, S Nilsson, ...
Alternatives to Laboratory Animals 41 (1), 49-64, 2013
202013
A risk assessment perspective of current practice in characterizing uncertainties in QSAR regression predictions
U Sahlin, M Filipsson, T Öberg
Molecular informatics 30 (6‐7), 551-564, 2011
182011
Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching
JH Blanke, S Olin, J Stürck, U Sahlin, M Lindeskog, J Helming, V Lehsten
Agriculture, ecosystems & environment 239, 385-398, 2017
172017
Bayesian network applications for sustainable holistic water resources management: modeling opportunities for South Africa
IH Govender, U Sahlin, GC O'Brien
Risk Analysis 42 (6), 1346-1364, 2022
162022
Scientific Guidance for the preparation of applications on smoke flavouring primary products
EFSA Panel on Food Additives and Flavourings (FAF), M Younes, ...
EFSA Journal 19 (3), e06435, 2021
162021
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