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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Adrianto, L. R., van der Hulst, M. K., Tokaya, J. P., Arvidsson, R., Blanco, C. F., Caldeira, C., Guillén-Gonsálbez, G., Sala, S., Steubing, B., Buyle, M., Kaddoura, M., Navarre, N. H., Pedneault, J., Pizzol, M., Salieri, B., van Harmelen, T., & Hauck, M. (2021). How can LCA include prospective elements to assess emerging technologies and system transitions? The 76th LCA Discussion Forum on Life Cycle Assessment, 19 November 2020. [Presentation]. International Journal of Life Cycle Assessment, 26(8), 1541-1544. Presented at 76th LCA Discussion Forum. External link
Kaddoura, M., Majeau-Bettez, G., Amor, B., & Margni, M. (2025). Global sensitivity analysis reduces data collection efforts in LCA: A comparison between two additive manufacturing technologies. Science of the Total Environment, 975, 179269 (11 pages). Available
Kaddoura, M. (2024). The Impacts of Surface Engineering on the Environment and the Material Flows [Ph.D. thesis, Polytechnique Montréal]. Available
Kaddoura, M., Majeau-Bettez, G., Amor, B., Poirier, D., & Margni, M. (2024). Estimating and reducing dissipative losses in thermal spray: A parametrized material flow analysis approach. Journal of Cleaner Production, 450, 141978 (9 pages). External link
Kaddoura, M., Majeau-Bettez, G., Amor, B., Moreau, C., & Margni, M. (2022). Investigating the role of surface engineering in mitigating greenhouse gas emissions of energy technologies: An outlook towards 2100. Sustainable Materials and Technologies, 32, e00425 (9 pages). Available
Kaddoura, M., Majeau-Bettez, G., Amor, B., Moreau, C., & Margni, M. (2021, September). Linking Life Cycle Assessment and Integrated Assessment Models for Prospective Modelling: A Case Study of Emerging Surface Engineering Technologies in Energy Systems [Presentation]. In American Center for Life Cycle Assessment Conference (ACLCA 2021). Unavailable
Kaddoura, M., Tivander, J., & Molander, S. (2020). Life Cycle Assessment of Electricity Generation from an Array of Subsea Tidal Kite Prototypes. Energies, 13(2), 18 pages. External link
Kaddoura, M., Majeau-Bettez, G., Amor, B., & Margni, M. (2020, November). Soft-linking LCA and IAM for Prospective Modelling: The Case of Emerging Surface Engineering Technologies in Energy Systems [Presentation]. In 76th LCA Discussion Forum. Available
Kaddoura, M., Kambanou, M. L., Tillman, A.-M., & Sakao, T. (2019). Is prolonging the lifetime of passive durable products a low-hanging fruit of a circular economy? A multiple case study. Sustainability, 11(18), 4819 (22 pages). Available
