| Evaluation of existing guidelines for their adequacy for the microbial characterisation and environmental risk assessment of microorganisms obtained through synthetic biology EFSA Scientific Committee, S More, V Bampidis, D Benford, C Bragard, ... EFSA Journal 18 (10), e06263, 2020 | 24 | 2020 |
| Dissecting and modelling the comparative adaptation to water limitation of sorghum and maize: role of transpiration efficiency, transpiration rate and height EJ Van Oosterom, M Kulathunga, KS Deifel, GB McLean, C Barrasso, ... in silico Plants 3 (1), diaa012, 2021 | 16 | 2021 |
| Systematic review and meta-analysis of global food security projections to 2050 M van Dijk, T Morley, ML Rau, Y Saghai | 11 | 2021 |
| Evaluation of existing guidelines for their adequacy for the molecular characterisation and environmental risk assessment of genetically modified plants obtained through … EFSA Panel on Genetically Modified Organisms (GMO), H Naegeli, ... EFSA Journal 19 (2), e06301, 2021 | 11 | 2021 |
| Horizon scan of synthetic biology developments for microorganisms with application in the agri‐Food sector CJB van der Vlugt EFSA Supporting Publications 17 (3), 1664E, 2020 | 8 | 2020 |
| Mapping of plant SynBio developments in the agri‐food sector K Unkel, D Krause, T Sprink, F Hartung, R Wilhelm EFSA Supporting Publications 17 (3), 1687E, 2020 | 4 | 2020 |
| Model-based QTL detection is sensitive to slight modifications in model formulation C Barrasso, MM Memah, M Génard, B Quilot-Turion PloS one 14 (10), e0222764, 2019 | 4 | 2019 |
| Impacts and damages of the European multi-year drought and heat event 2018–2022 on forests, a review F Knutzen, P Averbeck, C Barrasso, LM Bouwer, B Gardiner, ... EGUsphere 2023, 1-56, 2023 | 3 | 2023 |
| Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures J Fischer, L Egli, J Groth, C Barrasso, S Ehrmann, H Figgemeier, ... International Journal of Digital Earth 16 (1), 1510-1529, 2023 | 1 | 2023 |
| Opening up FAIR in-situ land-use reference data: current gaps, obstacles and future challenges S Fritz, C Barrasso, S Ehrmann, M Lesiv, I McCallum, C Meyer, ... EGU General Assembly Conference Abstracts, EGU-16128, 2023 | | 2023 |
| A global assessment of spatiotemporal uncertainties in Land Cover-a key indicator for monitoring sustainable development C Barrasso, R Remelgado, C Meyer EGU General Assembly Conference Abstracts, EGU22-6287, 2022 | | 2022 |
| Testing two data fusion methods for multiscale and multiclass land-use/land-cover maps to improve fractional information at medium resolution C Barrasso IIASA, 2021 | | 2021 |
| Dataset linked to the publiation C. Barrasso et al, 2019," Model-based QTL detection is sensitive to slight modifications in model formulation" in Plos ONE. B Quilot-Turion | | 2019 |
