Sue Worner - Concepedia

Author

Sue Worner

Lincoln University

Also Known As

S. P. WORNER, S. P. Worner, S.P Worner, S.P. Worner, Sue P. Worner, Sue P. Worner ., Sue Worner, Worner, Sue, S.

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Lincoln University Auckland University of Technology Rothamsted Research Manaaki Whenua – Landcare Research University of Illinois Urbana-Champaign

About

Sue Worner is an author at Lincoln University specializing in engineering, biodiversity, and pest management.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	879
2	Social Sciences	5	5	398
3	Public Health	4	4	282
4	Biology	3	3	249
5	Natural Sciences	1	1	188

Sue Worner

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Enhancing the effectiveness of the parasitoid Diadegma semiclausum (Helen): Movement after use of nectar in the field Blas Lavandero, S. D. Wratten, Parviz Shishehbor, Biological Control BiologyEngineeringPlant-insect InteractionNatural SciencesEvolutionary Biology	2005	188
Modelling global insect pest species assemblages to determine risk of invasion Sue Worner, Muriel Gevrey Journal of Applied Ecology EngineeringInsect ConservationEntomologyGlobal DistributionMining Methods	2006	175
Relative roles of climatic suitability and anthropogenic influence in determining the pattern of spread in a global invader Núria Roura‐Pascual, Cang Hui, Takayoshi Ikeda, Proceedings of the National Academy of Sciences Range ShiftBiodiversityRelative RolesEngineeringInvasion Biology	2010	171
Predicting Argentine ant spread over the heterogeneous landscape using a spatially explicit stochastic model Joel P. W. Pitt, Sue Worner, Andrew V. Suarez Ecological Applications Quantitative Spatial ModelInvasion BiologyArgentine AntBiogeographyArgentine Ant Spread	2009	78
Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models Stefan Schliebs, Michaël Defoin-Platel, Sue Worner, Neural Networks Evolving Neural NetworkEngineeringComputational NeuroscienceNeural NetworkNeuronal Network	2009	75
Geographical location, climate and land use influences on the phenology and numbers of the aphid, <i>Myzus persicae</i>, in Europe N. Cocu, R. Harrington, Mark Rounsevell, Journal of Biogeography BiodiversityEngineeringArtificial Neural NetworksBiogeographyLand Use	2005	61
Estimating risk of events using SOM models: A case study on invasive species establishment Muriel Gevrey, Sue Worner, Nikola Kasabov, Ecological Modelling Invasive Species EstablishmentInvasive SpecieEngineeringInvasion BiologyEcological Risk Assessment	2006	48
Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species Michael Watts, Sue Worner Ecological Informatics EngineeringArtificial Neural NetworksPlant-insect InteractionInsect ConservationEntomology	2007	47
Risk assessment of the gypsy moth, Lymantria dispar (L), in New Zealand based on phenology modelling Joel Peter William Pitt, Jacques Régnière, Sue Worner International Journal of Biometeorology BiodiversityEngineeringLymantria DisparPhenology ModellingInsect Conservation	2006	41
Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution Michael Watts, Sue Worner Ecological Informatics BiologyBiodiversityCascaded Neural NetworksBiogeographyInsect Conservation	2008	33

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