| Flexible self-organizing maps in kohonen 3.0 R Wehrens, J Kruisselbrink Journal of Statistical Software 87, 1-18, 2018 | 307 | 2018 |
| A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species EA Di Pierro, L Gianfranceschi, M Di Guardo, HJJ Koehorst-van Putten, ... Horticulture research 3, 2016 | 89 | 2016 |
| The MCRA model for probabilistic single-compound and cumulative risk assessment of pesticides H van der Voet, WJ de Boer, JW Kruisselbrink, PW Goedhart, ... Food and Chemical Toxicology 79, 5-12, 2015 | 81 | 2015 |
| High-quality, genome-wide SNP genotypic data for pedigreed germplasm of the diploid outbreeding species apple, peach, and sweet cherry through a common workflow S Vanderzande, NP Howard, L Cai, C Da Silva Linge, L Antanaviciute, ... PloS one 14 (6), e0210928, 2019 | 80 | 2019 |
| Combining aggregation with Pareto optimization: A case study in evolutionary molecular design JW Kruisselbrink, MTM Emmerich, T Bäck, A Bender, AP IJzerman, ... Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO …, 2009 | 47 | 2009 |
| Human health risk–benefit assessment of fish and other seafood: a scoping review ST Thomsen, R Assunção, C Afonso, G Boué, C Cardoso, F Cubadda, ... Critical Reviews in Food Science and Nutrition 62 (27), 7479-7502, 2022 | 46 | 2022 |
| PediHaplotyper: software for consistent assignment of marker haplotypes in pedigrees RE Voorrips, MCAM Bink, JW Kruisselbrink, HJJ Koehorst-van Putten, ... Molecular Breeding 36, 1-10, 2016 | 44 | 2016 |
| A European model and case studies for aggregate exposure assessment of pesticides MC Kennedy, CR Glass, B Bokkers, ADM Hart, PY Hamey, ... Food and Chemical Toxicology 79, 32-44, 2015 | 40 | 2015 |
| Cumulative dietary exposure assessment of pesticides that have acute effects on the nervous system using MCRA software JD Van Klaveren, JW Kruisselbrink, WJ De Boer, G Van Donkersgoed, ... EFSA Supporting Publications 16 (9), 1708E, 2019 | 39 | 2019 |
| Multi-objective evolutionary design of adenosine receptor ligands E van der Horst, P Marqués-Gallego, T Mulder-Krieger, J van Veldhoven, ... Journal of chemical information and modeling 52 (7), 1713-1721, 2012 | 38 | 2012 |
| Evolution strategies for robust optimization JW Kruisselbrink Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science …, 2012 | 37 | 2012 |
| Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching JW Kruisselbrink, A Aleman, MTM Emmerich, AP IJzerman, A Bender, ... Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 36 | 2009 |
| An archive maintenance scheme for finding robust solutions J Kruisselbrink, M Emmerich, T Bäck International Conference on Parallel Problem Solving from Nature, 214-223, 2010 | 35 | 2010 |
| A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES JW Kruisselbrink, MTM Emmerich, AH Deutz, T Bäck IEEE Congress on Evolutionary Computation, 1-8, 2010 | 34 | 2010 |
| New approaches to uncertainty analysis for use in aggregate and cumulative risk assessment of pesticides MC Kennedy, H van der Voet, VJ Roelofs, W Roelofs, CR Glass, ... Food and Chemical Toxicology 79, 54-64, 2015 | 33 | 2015 |
| On quality indicators for black-box level set approximation MTM Emmerich, AH Deutz, JW Kruisselbrink EVOLVE-A bridge between probability, set oriented numerics and evolutionary …, 2013 | 32 | 2013 |
| The MCRA toolbox of models and data to support chemical mixture risk assessment H van Der Voet, JW Kruisselbrink, WJ de Boer, MS van Lenthe, ... Food and Chemical Toxicology 138, 111185, 2020 | 31 | 2020 |
| Cone-based hypervolume indicators: construction, properties, and efficient computation M Emmerich, A Deutz, J Kruisselbrink, PK Shukla Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013 | 28 | 2013 |
| Towards a qAOP framework for predictive toxicology-linking data to decisions A Paini, I Campia, MTD Cronin, D Asturiol, L Ceriani, TE Exner, W Gao, ... Computational Toxicology 21, 100195, 2022 | 22 | 2022 |
| A decision support tool for assessing scenario acceptability using a hierarchy of indicators with compensabilities and importance weights H van der Voet, GWAM van der Heijden, JW Kruisselbrink, SO Tromp, ... Ecological indicators 43, 306-314, 2014 | 21 | 2014 |
