| Internet of Things in food safety: Literature review and a bibliometric analysis Y Bouzembrak, M Klüche, A Gavai, HJP Marvin Trends in Food Science & Technology 94, 54-64, 2019 | 325 | 2019 |
| Big data in food safety: An overview HJP Marvin, EM Janssen, Y Bouzembrak, PJM Hendriksen, M Staats Critical reviews in food science and nutrition 57 (11), 2286-2295, 2017 | 178 | 2017 |
| Prediction of food fraud type using data from Rapid Alert System for Food and Feed (RASFF) and Bayesian network modelling Y Bouzembrak, HJP Marvin Food Control 61, 180-187, 2016 | 161 | 2016 |
| Big Data in food safety-A review C Jin, Y Bouzembrak, J Zhou, Q Liang, LM Van Den Bulk, A Gavai, N Liu, ... Current Opinion in Food Science 36, 24-32, 2020 | 144 | 2020 |
| A holistic approach to food safety risks: Food fraud as an example HJP Marvin, Y Bouzembrak, EM Janssen, HJ van der Fels-Klerx, ... Food research international 89, 463-470, 2016 | 130 | 2016 |
| Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors A Hassoun, MA Prieto, M Carpena, Y Bouzembrak, HJP Marvin, ... Food Research International 162, 112068, 2022 | 115 | 2022 |
| Application of machine learning to the monitoring and prediction of food safety: A review X Wang, Y Bouzembrak, AO Lansink, HJ Van Der Fels‐Klerx Comprehensive Reviews in Food Science and Food Safety 21 (1), 416-434, 2022 | 100 | 2022 |
| Impact of drivers of change, including climatic factors, on the occurrence of chemical food safety hazards in fruits and vegetables: A Bayesian Network approach Y Bouzembrak, HJP Marvin Food control 97, 67-76, 2019 | 99 | 2019 |
| Digitalisation and Artificial Intelligence for sustainable food systems HJP Marvin, Y Bouzembrak, HJ Van der Fels-Klerx, C Kempenaar, ... Trends in Food Science & Technology 120, 344-348, 2022 | 94 | 2022 |
| Development of food fraud media monitoring system based on text mining Y Bouzembrak, B Steen, R Neslo, J Linge, V Mojtahed, HJP Marvin Food Control 93, 283-296, 2018 | 91 | 2018 |
| Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment HJP Marvin, Y Bouzembrak, EM Janssen, M van der Zande, F Murphy, ... Nanotoxicology 11 (1), 123-133, 2017 | 83 | 2017 |
| Application of Bayesian Networks in the development of herbs and spices sampling monitoring system Y Bouzembrak, L Camenzuli, E Janssen, HJ Van der Fels-Klerx Food Control 83, 38-44, 2018 | 48 | 2018 |
| A multi-objective green supply chain network design Y Bouzembrak, H Allaoui, G Goncalves, H Bouchriha 2011 4th International Conference on Logistics, 357-361, 2011 | 45 | 2011 |
| A system approach towards prediction of food safety hazards: Impact of climate and agrichemical use on the occurrence of food safety hazards HJP Marvin, Y Bouzembrak Agricultural Systems 178, 102760, 2020 | 44 | 2020 |
| Expert-driven methodology to assess and predict the effects of drivers of change on vulnerabilities in a food supply chain: Aquaculture of Atlantic salmon in Norway as a showcase HJP Marvin, E van Asselt, G Kleter, N Meijer, G Lorentzen, LH Johansen, ... Trends in Food Science & Technology 103, 49-56, 2020 | 39 | 2020 |
| Automated food safety early warning system in the dairy supply chain using machine learning N Liu, Y Bouzembrak, LM Van den Bulk, A Gavai, LJ van den Heuvel, ... Food Control 136, 108872, 2022 | 37 | 2022 |
| A possibilistic linear programming model for supply chain network design under uncertainty Y Bouzembrak, H Allaoui, G Goncalves, H Bouchriha, M Baklouti IMA Journal of Management Mathematics 24 (2), 209-229, 2013 | 37 | 2013 |
| Automatic classification of literature in systematic reviews on food safety using machine learning LM van den Bulk, Y Bouzembrak, A Gavai, N Liu, LJ van den Heuvel, ... Current Research in Food Science 5, 84-95, 2022 | 33 | 2022 |
| A tractable method for measuring nanomaterial risk using Bayesian networks F Murphy, B Sheehan, M Mullins, H Bouwmeester, HJP Marvin, ... Nanoscale research letters 11, 1-8, 2016 | 32 | 2016 |
| Global media as an early warning tool for food fraud; an assessment of MedISys-FF HJP Marvin, W Hoenderdaal, AK Gavai, W Mu, LM van den Bulk, N Liu, ... Food Control 137, 108961, 2022 | 28 | 2022 |
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