Bibliometric Review of Bio-Based Building Materials and a Comparison with Prior Research: Toward Probabilistic Approaches for Material Variability

Abstract

The purpose of this article is to extend previous bibliometric research on bio-based building materials by conducting a comparative analysis. The objective is to expand the initial study by applying a broader and more inclusive set of search terms to evaluate the sensitivity of Web of Science to keyword variations. In parallel, a separate bibliometric analysis is performed on research related to probabilistic approaches, which are essential for managing the variability and uncertainty in building material properties. Finally, a third bibliometric analysis is carried out at the intersection of these two fields: bio-based building materials and probabilistic methods. This integrated analysis aims to highlight the existing gap in the literature. The findings reveal the limited application of probabilistic approaches in the study of bio-based building materials and underscore the need to incorporate uncertainty quantification and stochastic modeling to understand better and optimize these sustainable construction resources. Overall, the results highlight two main outcomes. First, they demonstrate the strong sensitivity of bibliometric outcomes to the choice of search terms and databases, emphasizing the need for transparent and consistent keyword strategies; second, they show that the overlap between probabilistic approaches and bio-based materials research remains extremely limited, underscoring the importance of fostering stronger integration between these areas.

Keywords

Bio-based building material / Probabilistic analysis / Comparative study / Web of Science / VOSviewer

Statement of the Use of Generative AI and AI-Assisted Technologies in the Writing Process

During the preparation of this manuscript, the author(s) used ChatGPT in order to improve language clarity and readability. After using this tool, the author(s) reviewed and edited the content as needed and take full responsibility for the content of the published article.

Acknowledgments

The authors acknowledge Séverine Rosa Latapie for her input related to the comparative Analysis. No external administrative, technical, or financial support was received.

Author Contributions

Conceptualization, S.D., A.A.C., T.A.B. and J.A.; Methodology, S.D.; Software, S.D.; Validation, S.D., A.A.C., T.A.B. and J.A.; Formal Analysis, S.D.; Investigation, S.D.; Resources, A.A.C., T.A.B. and J.A.; Data Curation, S.D.; Writing—Original Draft Preparation, S.D.; Writing—Review & Editing, S.D., A.A.C., T.A.B. and J.A.; Visualization, S.D.; Supervision, A.A.C., T.A.B. and J.A.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are included in this published article. Additional information can be provided upon reasonable request from the corresponding author.

Funding

This research received no external funding.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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