Yamine Bouzembrak

2.7k total citations · 2 hit papers
43 papers, 1.8k citations indexed

About

Yamine Bouzembrak is a scholar working on Food Science, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Yamine Bouzembrak has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Food Science, 18 papers in Molecular Biology and 8 papers in Analytical Chemistry. Recurrent topics in Yamine Bouzembrak's work include Food Safety and Hygiene (16 papers), Identification and Quantification in Food (15 papers) and Food Supply Chain Traceability (9 papers). Yamine Bouzembrak is often cited by papers focused on Food Safety and Hygiene (16 papers), Identification and Quantification in Food (15 papers) and Food Supply Chain Traceability (9 papers). Yamine Bouzembrak collaborates with scholars based in Netherlands, United Kingdom and France. Yamine Bouzembrak's co-authors include H.J.P. Marvin, Anand Gavai, H.J. van der Fels‐Klerx, Esmée M. Janssen, Alfons Oude Lansink, Xinxin Wang, G.A. Kleter, Peter J.M. Hendriksen, Martijn Staats and Ningjing Liu and has published in prestigious journals such as PLoS ONE, Trends in Food Science & Technology and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Yamine Bouzembrak

43 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors

2022 118 citations Abdo Hassoun, Miguel A. Prieto et al. Food Research International profile →
Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools

2024 75 citations G.A. Kleter, Yamine Bouzembrak et al. Comprehensive Reviews in Food Science and Food Safety profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yamine Bouzembrak Netherlands	23	776	463	245	230	186	43	1.8k
Luis Ruiz-García Spain	27	1.5k 1.9×	247 0.5×	742 3.0×	252 1.1×	158 0.8×	55	3.5k
Sandeep Jagtap United Kingdom	25	612 0.8×	129 0.3×	237 1.0×	90 0.4×	456 2.5×	90	2.0k
Xiaoshuan Zhang China	33	1.5k 2.0×	367 0.8×	603 2.5×	304 1.3×	315 1.7×	216	4.2k
Ismail Uysal United States	17	872 1.1×	123 0.3×	339 1.4×	36 0.2×	145 0.8×	63	1.7k
Rahul S Mor India	21	698 0.9×	132 0.3×	212 0.9×	63 0.3×	503 2.7×	72	2.3k
Guillermo Garcia‐Garcia United Kingdom	24	673 0.9×	135 0.3×	249 1.0×	86 0.4×	336 1.8×	62	2.0k
Abdo Hassoun France	34	1.2k 1.5×	803 1.7×	448 1.8×	544 2.4×	191 1.0×	95	3.6k
Rohit Upadhyay India	18	438 0.6×	204 0.4×	450 1.8×	180 0.8×	35 0.2×	36	1.6k
Simone Figorilli Italy	16	337 0.4×	84 0.2×	274 1.1×	111 0.5×	117 0.6×	50	1.2k

Countries citing papers authored by Yamine Bouzembrak

Since Specialization

Citations

This map shows the geographic impact of Yamine Bouzembrak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yamine Bouzembrak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yamine Bouzembrak more than expected).

Fields of papers citing papers by Yamine Bouzembrak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yamine Bouzembrak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yamine Bouzembrak. The network helps show where Yamine Bouzembrak may publish in the future.

Co-authorship network of co-authors of Yamine Bouzembrak

This figure shows the co-authorship network connecting the top 25 collaborators of Yamine Bouzembrak. A scholar is included among the top collaborators of Yamine Bouzembrak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yamine Bouzembrak. Yamine Bouzembrak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gavai, Anand, et al.. (2025). Agricultural data privacy: Emerging platforms & strategies. Food and Humanity. 4. 100542–100542. 3 indexed citations

Pook, Torsten, et al.. (2025). Assessing the potential of quantum computing in agriculture. Computers and Electronics in Agriculture. 235. 110332–110332. 2 indexed citations

Hassoun, Abdo, Hana Trollman, Guillermo Garcia‐Garcia, et al.. (2024). From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector. Comprehensive Reviews in Food Science and Food Safety. 23(6). e370040–e370040. 28 indexed citations

Bouzembrak, Yamine, Ningjing Liu, Anand Gavai, et al.. (2024). Data driven food fraud vulnerability assessment using Bayesian Network: Spices supply chain. Food Control. 164. 110616–110616. 9 indexed citations

El-Moghazy, Ahmed Y., Ana Allende, María I. Gil, et al.. (2024). Food Safety Related Data Analytics, Digital, and Artificial Intelligence Needs and Opportunities in Controlled Environment Agriculture. Food Protection Trends. 44(6). 400–408. 1 indexed citations

Kleter, G.A., et al.. (2024). Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools. Comprehensive Reviews in Food Science and Food Safety. 23(1). e13296–e13296. 75 indexed citations breakdown →

Hassoun, Abdo, H.J.P. Marvin, Yamine Bouzembrak, et al.. (2023). Digital transformation in the agri-food industry: recent applications and the role of the COVID-19 pandemic. Frontiers in Sustainable Food Systems. 7. 38 indexed citations

Catal, Cagatay, et al.. (2023). Food fraud detection using explainable artificial intelligence. Expert Systems. 42(1). 48 indexed citations

Wang, Xinxin, Yamine Bouzembrak, Alfons Oude Lansink, & H.J. van der Fels‐Klerx. (2023). Weighted Bayesian network for the classification of unbalanced food safety data: Case study of risk‐based monitoring of heavy metals. Risk Analysis. 43(12). 2549–2561. 3 indexed citations

10.

Hassoun, Abdo, Miguel A. Prieto, María Carpena, et al.. (2022). Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors. Food Research International. 162(Pt B). 112068–112068. 118 indexed citations breakdown →

11.

Wang, Xinxin, Yamine Bouzembrak, Alfons Oude Lansink, & H.J. van der Fels‐Klerx. (2022). Designing a monitoring program for aflatoxin B1 in feed products using machine learning. npj Science of Food. 6(1). 40–40. 15 indexed citations

12.

Liu, Ningjing, et al.. (2022). Automated food safety early warning system in the dairy supply chain using machine learning. Food Control. 136. 108872–108872. 40 indexed citations

13.

Marvin, H.J.P., Anand Gavai, Ningjing Liu, et al.. (2022). Global media as an early warning tool for food fraud; an assessment of MedISys-FF. Food Control. 137. 108961–108961. 25 indexed citations

14.

Gavai, Anand, et al.. (2021). Artificial intelligence to detect unknown stimulants from scientific literature and media reports. Food Control. 130. 108360–108360. 7 indexed citations

15.

Bouzembrak, Yamine, et al.. (2021). Automatic classification of literature in systematic reviews on food safety using machine learning. Current Research in Food Science. 5. 84–95. 22 indexed citations

16.

Bouzembrak, Yamine & H.J.P. Marvin. (2018). Impact of drivers of change, including climatic factors, on the occurrence of chemical food safety hazards in fruits and vegetables: A Bayesian Network approach. Food Control. 97. 67–76. 75 indexed citations

17.

Marvin, H.J.P., Esmée M. Janssen, Yamine Bouzembrak, Peter J.M. Hendriksen, & Martijn Staats. (2016). Big data in food safety: An overview. Critical Reviews in Food Science and Nutrition. 57(11). 2286–2295. 116 indexed citations

18.

Murphy, Finbarr, Barry Sheehan, Martin Mullins, et al.. (2016). A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks. Nanoscale Research Letters. 11(1). 503–503. 26 indexed citations

19.

Bouzembrak, Yamine & H.J.P. Marvin. (2015). Prediction of food fraud type using data from Rapid Alert System for Food and Feed (RASFF) and Bayesian network modelling. Food Control. 61. 180–187. 114 indexed citations

20.

Bouzembrak, Yamine, Hamid Allaoui, Gilles Gonçalves, & Hanen Bouchriha. (2013). A multi-modal supply chain network design for recycling waterway sediments. International Journal of Environment and Pollution. 51(1/2). 15–15. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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