Brian Sheil

2.0k total citations
108 papers, 1.4k citations indexed

About

Brian Sheil is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Ocean Engineering. According to data from OpenAlex, Brian Sheil has authored 108 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Civil and Structural Engineering, 30 papers in Safety, Risk, Reliability and Quality and 19 papers in Ocean Engineering. Recurrent topics in Brian Sheil's work include Geotechnical Engineering and Underground Structures (48 papers), Geotechnical Engineering and Soil Mechanics (35 papers) and Geotechnical Engineering and Analysis (30 papers). Brian Sheil is often cited by papers focused on Geotechnical Engineering and Underground Structures (48 papers), Geotechnical Engineering and Soil Mechanics (35 papers) and Geotechnical Engineering and Analysis (30 papers). Brian Sheil collaborates with scholars based in United Kingdom, China and Ireland. Brian Sheil's co-authors include Bryan A. McCabe, Pin Zhang, Zhen‐Yu Yin, Stephen K. Suryasentana, Wen-Chieh Cheng, Byron W. Byrne, Tong Sun, Sinan Acikgoz, Yin‐Fu Jin and Xuedong Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Remote Sensing.

In The Last Decade

Brian Sheil

98 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Sheil United Kingdom 22 1.1k 413 170 156 116 108 1.4k
Raúl Fuentes Germany 17 828 0.8× 294 0.7× 86 0.5× 154 1.0× 76 0.7× 69 1.1k
Jiayao Chen China 16 653 0.6× 223 0.5× 294 1.7× 251 1.6× 118 1.0× 43 1.0k
Chao Shi Hong Kong 22 755 0.7× 362 0.9× 104 0.6× 248 1.6× 183 1.6× 65 1.5k
Zhiping Wen China 24 1.5k 1.3× 308 0.7× 228 1.3× 103 0.7× 315 2.7× 88 1.8k
Mahdi Shadabfar China 16 551 0.5× 116 0.3× 186 1.1× 180 1.2× 63 0.5× 35 796
Zhong Zhou China 22 898 0.8× 416 1.0× 484 2.8× 208 1.3× 463 4.0× 86 1.6k
D.N. Chapman United Kingdom 17 689 0.6× 387 0.9× 70 0.4× 315 2.0× 56 0.5× 59 1.1k
Qiubing Ren China 21 927 0.9× 135 0.3× 128 0.8× 92 0.6× 175 1.5× 57 1.3k
Lei Huang China 20 684 0.6× 240 0.6× 546 3.2× 200 1.3× 372 3.2× 93 1.2k
Jelena Ninić United Kingdom 21 785 0.7× 367 0.9× 161 0.9× 123 0.8× 26 0.2× 61 1.2k

Countries citing papers authored by Brian Sheil

Since Specialization
Citations

This map shows the geographic impact of Brian Sheil'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 Brian Sheil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Sheil more than expected).

Fields of papers citing papers by Brian Sheil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Sheil. 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 Brian Sheil. The network helps show where Brian Sheil may publish in the future.

Co-authorship network of co-authors of Brian Sheil

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Sheil. A scholar is included among the top collaborators of Brian Sheil 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 Brian Sheil. Brian Sheil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Pin, Brian Sheil, & Mark Girolami. (2025). Active learning informed proper orthogonal decomposition for reduced order modelling of heat transfer in porous medium. Computer Methods in Applied Mechanics and Engineering. 444. 118174–118174. 1 indexed citations
2.
Yin, Zhen‐Yu, et al.. (2025). Enhancement and assessment of large vision models for 3D particle reconstruction from X-ray tomography. Canadian Geotechnical Journal. 62. 1–28. 5 indexed citations
3.
Yin, Zhen‐Yu, Pin Zhang, & Brian Sheil. (2025). Data-driven modelling in geomechanics and geoengineering. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 19(4). 751–754.
4.
Zhang, Pin, et al.. (2024). Multi-Fidelity Learned Emulator for Waves and Porous Coastal Structures Interaction Modelling. Computers and Geotechnics. 176. 106718–106718. 2 indexed citations
5.
Suryasentana, Stephen K., et al.. (2024). Assessment of Bayesian Changepoint Detection Methods for Soil Layering Identification Using Cone Penetration Test Data. SHILAP Revista de lepidopterología. 4(2). 382–398. 3 indexed citations
6.
Zhou, Xiaoqi, Brian Sheil, Stephen K. Suryasentana, & Peixin Shi. (2024). Multi-fidelity fusion for soil classification via LSTM and multi-head self-attention CNN model. Advanced Engineering Informatics. 62. 102655–102655. 14 indexed citations
7.
Lu, Bo, et al.. (2024). Laboratory testing of settlement propagation induced by pipe-roof pre-support deformation in sandy soils. Tunnelling and Underground Space Technology. 146. 105645–105645. 14 indexed citations
8.
Suryasentana, Stephen K., et al.. (2024). Multifidelity Data Fusion for the Estimation of Static Stiffness of Suction Caisson Foundations in Layered Soil. Journal of Geotechnical and Geoenvironmental Engineering. 150(8). 3 indexed citations
9.
Zhang, Pin, et al.. (2024). A novel consolidation analysis framework: universal function approximators regularized by physical principles. Canadian Geotechnical Journal. 62. 1–17. 1 indexed citations
10.
Xu, Jingmin, et al.. (2024). A numerical investigation of the role of basements on tunnel-frame interaction in sandy soil. Computers and Geotechnics. 169. 106197–106197. 18 indexed citations
11.
Zhou, Hang, et al.. (2024). Full-field internal 3D deformations measurement of transparent soil using 3D-DIC combined with optical slicing. Acta Geotechnica. 19(3). 1627–1648. 6 indexed citations
12.
Sheil, Brian, et al.. (2024). Digital twins for urban underground space. Tunnelling and Underground Space Technology. 155. 106140–106140. 15 indexed citations
13.
Lu, Bo, et al.. (2024). Earth pressure in sandy soils above the pipe-roof structure: Experimental and theoretical investigation. Computers and Geotechnics. 173. 106565–106565. 4 indexed citations
14.
Zhou, Hang, et al.. (2023). Multicore CPU-based parallel computing accelerated digital image correlation for large soil deformations measurement. Computers and Geotechnics. 166. 106027–106027. 5 indexed citations
15.
Shi, Peixin, et al.. (2023). Knowledge-based multiple point statistics for soil stratigraphy simulation. Tunnelling and Underground Space Technology. 143. 105475–105475. 10 indexed citations
16.
Zhang, Pin, Zhen‐Yu Yin, & Brian Sheil. (2023). Interpretable data-driven constitutive modelling of soils with sparse data. Computers and Geotechnics. 160. 105511–105511. 27 indexed citations
17.
Shi, Peixin, et al.. (2023). Knowledge-based U-Net and transfer learning for automatic boundary segmentation. Advanced Engineering Informatics. 59. 102243–102243. 11 indexed citations
18.
Rossi, Cristian, et al.. (2023). Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure. Remote Sensing. 15(20). 4910–4910. 3 indexed citations
19.
Zhou, Hang, et al.. (2022). Finite element modelling of helical pile installation and its influence on uplift capacity in strain softening clay. Canadian Geotechnical Journal. 59(12). 2050–2066. 18 indexed citations
20.
Zhang, Pin, Zhen‐Yu Yin, & Brian Sheil. (2022). A physics-informed data-driven approach for consolidation analysis. Géotechnique. 74(7). 620–631. 48 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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