David N. Chapman

978 total citations
34 papers, 692 citations indexed

About

David N. Chapman is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Ocean Engineering. According to data from OpenAlex, David N. Chapman has authored 34 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 11 papers in Safety, Risk, Reliability and Quality and 9 papers in Ocean Engineering. Recurrent topics in David N. Chapman's work include Geotechnical Engineering and Underground Structures (19 papers), Geotechnical Engineering and Analysis (11 papers) and Geophysical Methods and Applications (7 papers). David N. Chapman is often cited by papers focused on Geotechnical Engineering and Underground Structures (19 papers), Geotechnical Engineering and Analysis (11 papers) and Geophysical Methods and Applications (7 papers). David N. Chapman collaborates with scholars based in United Kingdom, Iraq and China. David N. Chapman's co-authors include Saif Alzabeebee, Asaad Faramarzi, C. D. F. Rogers, Nicole Metje, Giulio Curioni, Mehran Eskandari Torbaghan, Dexter V. L. Hunt, Andrew Chan, Michael Burrow and Wenda Li and has published in prestigious journals such as Sensors, Sustainability and Journal of Geotechnical and Geoenvironmental Engineering.

In The Last Decade

David N. Chapman

32 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David N. Chapman United Kingdom 15 526 266 124 97 71 34 692
Qunfang Hu China 15 672 1.3× 279 1.0× 168 1.4× 70 0.7× 126 1.8× 46 844
Pavana Vennapusa United States 16 713 1.4× 133 0.5× 124 1.0× 55 0.6× 55 0.8× 57 824
Chunjin Lin China 16 565 1.1× 232 0.9× 191 1.5× 133 1.4× 213 3.0× 34 822
Zhinan Hu China 13 522 1.0× 358 1.3× 66 0.5× 65 0.7× 157 2.2× 32 703
Joaquim Tinoco Portugal 15 524 1.0× 227 0.9× 86 0.7× 72 0.7× 132 1.9× 54 716
Masoud Hajialilue‐Bonab Iran 16 695 1.3× 225 0.8× 46 0.4× 93 1.0× 85 1.2× 67 835
A. Burak Göktepe Türkiye 16 510 1.0× 79 0.3× 60 0.5× 123 1.3× 74 1.0× 31 707
Hisham Mohamad Malaysia 17 845 1.6× 334 1.3× 71 0.6× 72 0.7× 88 1.2× 47 964
Kamaldeep Singh Grover India 19 556 1.1× 244 0.9× 92 0.7× 47 0.5× 159 2.2× 36 773
Selim Günay United States 12 731 1.4× 109 0.4× 35 0.3× 171 1.8× 59 0.8× 31 844

Countries citing papers authored by David N. Chapman

Since Specialization
Citations

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

Fields of papers citing papers by David N. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Chapman. 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 David N. Chapman. The network helps show where David N. Chapman may publish in the future.

Co-authorship network of co-authors of David N. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Chapman. A scholar is included among the top collaborators of David N. Chapman 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 David N. Chapman. David N. Chapman 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
2.
Chapman, David N., et al.. (2023). The Analysis of the Fracturing Mechanism and Brittleness Characteristics of Anisotropic Shale Based on Finite-Discrete Element Method. Rock Mechanics and Rock Engineering. 57(4). 2385–2405. 4 indexed citations
3.
Rogers, C. D. F., et al.. (2021). 3D spatiotemporal risk assessment analysis of the tunnelling-induced settlement in an urban area using analytical hierarchy process and BIM. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 16(2). 251–266. 4 indexed citations
4.
Torbaghan, Mehran Eskandari, et al.. (2020). Investigating the relationship between trenching practice and road deterioration. University of Birmingham Research Portal (University of Birmingham). 7(4). 282–296. 4 indexed citations
5.
Alzabeebee, Saif & David N. Chapman. (2020). Evolutionary computing to determine the skin friction capacity of piles embedded in clay and evaluation of the available analytical methods. Transportation Geotechnics. 24. 100372–100372. 38 indexed citations
6.
Torbaghan, Mehran Eskandari, Wenda Li, Nicole Metje, et al.. (2020). Automated detection of cracks in roads using ground penetrating radar. Journal of Applied Geophysics. 179. 104118–104118. 49 indexed citations
7.
Alzabeebee, Saif, David N. Chapman, & Asaad Faramarzi. (2018). A comparative study of the response of buried pipes under static and moving loads. Transportation Geotechnics. 15. 39–46. 75 indexed citations
8.
Alzabeebee, Saif, David N. Chapman, & Asaad Faramarzi. (2018). Economical design of buried concrete pipes subjected to UK standard traffic loading. Proceedings of the Institution of Civil Engineers - Structures and Buildings. 172(2). 141–156. 32 indexed citations
9.
Alzabeebee, Saif, David N. Chapman, & Asaad Faramarzi. (2017). Innovative approach to determine the minimum wall thickness of flexible buried pipes. Geomechanics and Engineering. 15(2). 755. 14 indexed citations
10.
Alzabeebee, Saif, David N. Chapman, & Asaad Faramarzi. (2017). Development of a novel model to estimate bedding factors to ensure the economic and robust design of rigid pipes under soil loads. Tunnelling and Underground Space Technology. 71. 567–578. 41 indexed citations
11.
Curioni, Giulio, et al.. (2017). Extending TDR Capability for Measuring Soil Density and Water Content for Field Condition Monitoring. Journal of Geotechnical and Geoenvironmental Engineering. 144(2). 15 indexed citations
12.
Curioni, Giulio, David N. Chapman, & Nicole Metje. (2017). Seasonal variations measured by TDR and GPR on an anthropogenic sandy soil and the implications for utility detection. Journal of Applied Geophysics. 141. 34–46. 21 indexed citations
13.
14.
Metje, Nicole, David N. Chapman, David Cheneler, Michael Ward, & Andrew Thomas. (2011). Smart Pipes—Instrumented Water Pipes, Can This Be Made a Reality?. Sensors. 11(8). 7455–7475. 21 indexed citations
15.
Rogers, C. D. F., et al.. (2008). Mapping the Underworld: Enhancing Subsurface Utility Engineering Performance. Transportation Research Board 87th Annual MeetingTransportation Research Board. 4 indexed citations
16.
Chapman, David N., et al.. (2006). The use of model tests to investigate the ground displacements associated with multiple tunnel construction in soil. Tunnelling and Underground Space Technology. 21(3-4). 413–413. 40 indexed citations
17.
Kukureka, Stephen N., et al.. (2005). Mechanical reliability of optical fibre sensors for tunnel displacement monitoring. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5855. 1052–1052. 2 indexed citations
18.
Chapman, David N., et al.. (2003). Predicting Ground Displacements Caused by Pipe Splitting Operations. 1173–1183. 1 indexed citations
19.
Cooper, Michael Lee & David N. Chapman. (2000). Recent In-Tunnel Movement Monitoring Experience In London. ISRM International Symposium. 1 indexed citations
20.
Collop, Andrew C., et al.. (2000). The `Bow-Wave' Effect in Soft Subgrade Beneath High Speed Rail Lines. DMU Open Research Archive (De Montfort University). 338–349. 8 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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