Glass Structures & Engineering Template
Write in a clean editor, then format for Glass Structures & Engineering in one click — DocuGuru applies the official Springer Nature template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Glass Structures & Engineering format
Glass Structures & Engineering is a peer-reviewed journal published by Springer Nature, covering Structural Analysis of Composite Materials, Building materials and conservation, Civil and Structural Engineering Research.
| Publisher | Springer Nature |
|---|---|
| Reference style | Author–year (Springer) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Glass Structures & Engineering, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — Glass Structures & Engineering has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Structural Analysis of Composite Materials Building materials and conservation Civil and Structural Engineering Research Glass properties and applications Building Energy and Comfort Optimization |
| ISSN | 2363-5142 |
| Citation impact (2-yr) | 1.57 |
| h-index | 25 |
| i10-index | 100 |
| Total citations | 2,778 |
| Article processing charge | $2,790 |
| Top institutions publishing here | Technische Universität Darmstadt |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Glass Structures & Engineering per year
Citation impact of Glass Structures & Engineering by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Glass Structures & Engineering
Abstract ’Big data’ and the use of ’Artificial Intelligence’ (AI) is currently advancing due to the increasing and even cheaper data collection and processing capabilities. Social and economical change is predicted by numerous company leaders, politicians and researchers. Machine and Deep Learning (ML/DL) are sub-types of AI, which are gaining high interest within the community…
Abstract This paper presents the casting of volumetric glass components from glass waste as an alternative glass-recycling approach. The approach is characterized by its flexibility to accommodate a variety of compositions and ability to yield volumetric (solid or thick-walled) glass products that can tolerate higher contamination rates without a significant compromise to their properties. The…