Tunnelling and Underground Space Technology
Published by Elsevier
ISSN : 0886-7798
Abbreviation : Tunn. Undergr. Space Technol.
Aims & Scope
Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures.
The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 7.4 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 2.269 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 155 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences and Engineering, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Seismic design and analysis of underground structures
Citation: 1085
Authors: Youssef M.A., Jeffrey J., Birger, John
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Assessment of damage in mountain tunnels due to the Taiwan Chi-Chi Earthquake
Citation: 670
Authors: W.L., T.T., J.J., C.H., C.R., T.H.
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Long-term settlement behaviour of metro tunnels in the soft deposits of Shanghai
Citation: 599
Authors: Shui-Long, Huai-Na, Yu-Jun, Zhen-Yu
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Deep learning based image recognition for crack and leakage defects of metro shield tunnel
Citation: 418
Authors: Hong-wei, Qing-tong, Dong-ming
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Evaluation method of rockburst: State-of-the-art literature review
Citation: 402
Authors: Jian, Xibing, Hani S.
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An overview of ahead geological prospecting in tunneling
Citation: 382
Authors: Shucai, Bin, Xinji, Lichao, Zhengyu, Jie, Huaifeng, Lei, Kerui