| Selecting among five common modelling approaches for integrated environmental assessment and management RA Kelly, AJ Jakeman, O Barreteau, ME Borsuk, S ElSawah, SH Hamilton, ... Environmental modelling & software 47, 159-181, 2013 | 836 | 2013 |
| Bayesian belief networks as a meta-modelling tool in integrated river basin management—Pros and cons in evaluating nutrient abatement decisions under uncertainty in a … DN Barton, T Saloranta, SJ Moe, HO Eggestad, S Kuikka Ecological economics 66 (1), 91-104, 2008 | 271 | 2008 |
| Bayesian networks in environmental and resource management DN Barton, S Kuikka, O Varis, L Uusitalo, HJ Henriksen, M Borsuk, ... Integrated environmental assessment and management 8 (3), 418-429, 2012 | 205 | 2012 |
| Modeling environmentally driven uncertainties in Baltic cod (Gadus morhua) management by Bayesian influence diagrams S Kuikka, M Hildén, H Gislason, S Hansson, H Sparholt, O Varis Canadian journal of fisheries and aquatic sciences 56 (4), 629-641, 1999 | 186 | 1999 |
| Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management O Varis, S Kuikka Ecological Modelling 119 (2-3), 177-195, 1999 | 174 | 1999 |
| Information flow among fishing vessels modelled using a Bayesian network LR Little, S Kuikka, AE Punt, F Pantus, CR Davies, BD Mapstone Environmental Modelling & Software 19 (1), 27-34, 2004 | 151 | 2004 |
| Annual variability in survival of sea‐ranched Baltic salmon, Salmo salar L: significance of smolt size and marine conditions M Salminen, S Kuikka, E Erkamo Fisheries Management and ecology 2 (3), 171-184, 1995 | 125 | 1995 |
| Growing into interdisciplinarity: how to converge biology, economics, and social science in fisheries research? P Haapasaari, S Kulmala, S Kuikka Ecology and Society 17 (1), 2012 | 110 | 2012 |
| Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge L Uusitalo, S Kuikka, A Romakkaniemi ICES Journal of Marine Science 62 (4), 708-722, 2005 | 110 | 2005 |
| A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries CGJ Michielsens, MK McAllister, S Kuikka, T Pakarinen, L Karlsson, ... Canadian Journal of Fisheries and Aquatic Sciences 63 (2), 321-334, 2006 | 108 | 2006 |
| A Bayesian network for analyzing biological acute and long-term impacts of an oil spill in the Gulf of Finland T Lecklin, R Ryömä, S Kuikka Marine Pollution Bulletin 62 (12), 2822-2835, 2011 | 104 | 2011 |
| Assessing the impacts of seabed mineral extraction in the deep sea and coastal marine environments: Current methods and recommendations for environmental risk assessment L Kaikkonen, R Venesjärvi, H Nygård, S Kuikka Marine pollution bulletin 135, 1183-1197, 2018 | 94 | 2018 |
| Modeling the effectiveness of oil combating from an ecological perspective–A Bayesian network for the Gulf of Finland; the Baltic Sea I Helle, T Lecklin, A Jolma, S Kuikka Journal of hazardous materials 185 (1), 182-192, 2011 | 93 | 2011 |
| Joint use of multiple environmental assessment models by a Bayesian meta-model: the Baltic salmon case O Varis, S Kuikka Ecological modelling 102 (2-3), 341-351, 1997 | 93 | 1997 |
| Estimating fisheries‐induced selection: traditional gear selectivity research meets fisheries‐induced evolution A Kuparinen, S Kuikka, J Merilä Evolutionary Applications 2 (2), 234-243, 2009 | 92 | 2009 |
| The value of information in fisheries management: North Sea herring as an example S Mäntyniemi, S Kuikka, M Rahikainen, LT Kell, V Kaitala ICES Journal of Marine Science 66 (10), 2278-2283, 2009 | 86 | 2009 |
| Implementing Bayesian networks for ISO 31000: 2018-based maritime oil spill risk management: State-of-art, implementation benefits and challenges, and future research directions T Parviainen, F Goerlandt, I Helle, P Haapasaari, S Kuikka Journal of Environmental Management 278, 111520, 2021 | 80 | 2021 |
| How can stakeholders promote environmental and social responsibility in the shipping industry? T Parviainen, A Lehikoinen, S Kuikka, P Haapasaari WMU Journal of Maritime Affairs 17, 49-70, 2018 | 80 | 2018 |
| Integration of biological, economic, and sociological knowledge by Bayesian belief networks: the interdisciplinary evaluation of potential management plans for Baltic salmon P Levontin, S Kulmala, P Haapasaari, S Kuikka ICES Journal of Marine Science 68 (3), 632-638, 2011 | 78 | 2011 |
| BeNe-EIA: A Bayesian approach to expert judgment elicitation with case studies on climate change impacts on surface waters O Varis, S Kuikka Climatic Change 37 (3), 539-563, 1997 | 78 | 1997 |
