W.M.G. Courage

481 total citations
30 papers, 302 citations indexed

About

W.M.G. Courage is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering. According to data from OpenAlex, W.M.G. Courage has authored 30 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 7 papers in Statistics, Probability and Uncertainty and 6 papers in Mechanical Engineering. Recurrent topics in W.M.G. Courage's work include Infrastructure Maintenance and Monitoring (8 papers), Concrete Corrosion and Durability (7 papers) and Structural Health Monitoring Techniques (6 papers). W.M.G. Courage is often cited by papers focused on Infrastructure Maintenance and Monitoring (8 papers), Concrete Corrosion and Durability (7 papers) and Structural Health Monitoring Techniques (6 papers). W.M.G. Courage collaborates with scholars based in Netherlands, Italy and Switzerland. W.M.G. Courage's co-authors include R.B. Polder, W.H.A. Peelen, T. Schweckendiek, Oswaldo Morales‐Nápoles, Hélder Sousa, Johan Maljaars, Thomas G. Yeung, Bruno Castanier, Ton Vrouwenvelder and André Barel and has published in prestigious journals such as Cement and Concrete Composites, Computers & Structures and Natural Hazards.

In The Last Decade

W.M.G. Courage

26 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W.M.G. Courage Netherlands 9 220 62 38 36 33 30 302
Oskar Larsson Ivanov Sweden 12 345 1.6× 24 0.4× 42 1.1× 77 2.1× 36 1.1× 38 470
Samantha Sabatino United States 7 389 1.8× 18 0.3× 12 0.3× 88 2.4× 11 0.3× 13 467
F. Ballester Spain 8 130 0.6× 63 1.0× 9 0.2× 68 1.9× 20 0.6× 9 342
Ívar Björnsson Sweden 8 229 1.0× 11 0.2× 8 0.2× 44 1.2× 30 0.9× 29 295
Madeleine M. Flint United States 12 276 1.3× 19 0.3× 8 0.2× 78 2.2× 44 1.3× 23 371
Ali Nahvi United States 11 197 0.9× 13 0.2× 158 4.2× 26 0.7× 14 0.4× 19 359
Alberto Decò United States 8 513 2.3× 20 0.3× 7 0.2× 60 1.7× 31 0.9× 10 603
Jeong-Hun Won South Korea 12 410 1.9× 9 0.1× 22 0.6× 229 6.4× 52 1.6× 42 553
Stephan A. Durham United States 12 506 2.3× 48 0.8× 38 1.0× 338 9.4× 9 0.3× 70 638
Nabilah Abu Bakar Malaysia 14 332 1.5× 28 0.5× 8 0.2× 281 7.8× 13 0.4× 72 509

Countries citing papers authored by W.M.G. Courage

Since Specialization
Citations

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

Fields of papers citing papers by W.M.G. Courage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.M.G. Courage. 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 W.M.G. Courage. The network helps show where W.M.G. Courage may publish in the future.

Co-authorship network of co-authors of W.M.G. Courage

This figure shows the co-authorship network connecting the top 25 collaborators of W.M.G. Courage. A scholar is included among the top collaborators of W.M.G. Courage 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 W.M.G. Courage. W.M.G. Courage 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.
Sousa, Hélder & W.M.G. Courage. (2021). Value of information of a pro-active SHM-based tool supported by advanced FE models and Bayesian statistics towards efficiency in bridge management. Structure and Infrastructure Engineering. 18(4). 554–572. 4 indexed citations
2.
Sousa, Hélder, et al.. (2019). A novel pro-active approach towards SHM-based bridge management supported by FE analysis and Bayesian methods. Structure and Infrastructure Engineering. 16(2). 233–246. 20 indexed citations
3.
Morales‐Nápoles, Oswaldo, et al.. (2017). Characterization of Precipitation through Copulas and Expert Judgement for Risk Assessment of Infrastructure. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 3(4). 14 indexed citations
4.
Polder, R.B., Yifan Pan, W.M.G. Courage, & W.H.A. Peelen. (2016). Preliminary study of life cycle cost of preventive measures and repair options for corrosion in concrete infrastructurecorrosion in concrete infrastructure. Data Archiving and Networked Services (DANS). 2 indexed citations
5.
Polder, R.B., Yuanyuan Pan, W.M.G. Courage, & W.H.A. Peelen. (2016). Preliminary study of life cycle cost of preventive measures and repair options for corrosion in concrete infrastructure. TNO Repository. 61(1). 1. 6 indexed citations
6.
Courage, W.M.G., et al.. (2015). Fragility functions for pipeline in liquefiable sand : a case study on the Groningen gas-network. Anglia Ruskin Research Online (Anglia Ruskin University). 1 indexed citations
7.
Polder, R.B., et al.. (2013). Service life and life cycle cost modelling of cathodic protection systems for concrete structures. Cement and Concrete Composites. 47. 69–74. 57 indexed citations
8.
Vervuurt, A.H.J.M., W.M.G. Courage, & R.D.J.M. Steenbergen. (2013). Strength characteristics for the structural assessment of existing concrete structures. Report. 99. 302–303.
9.
Courage, W.M.G., et al.. (2013). Risk management in large scale underground infrastructures. 902–908. 3 indexed citations
10.
Peelen, W.H.A., et al.. (2012). Asset service condition assessment methodology (ASCAM Project). 1 indexed citations
11.
Vervuurt, A.H.J.M., et al.. (2012). Bepaling van de betonsterkte van bestaande betonnen constructies. TNO Repository. 1. 2 indexed citations
12.
Peelen, W.H.A., et al.. (2011). Monitoring DC stray current interference of steel sheet pile structures in railway environment. Biological Research For Nursing. 56(3). 107–439. 2 indexed citations
13.
Markus, A.A., et al.. (2010). A Computational Framework for Flood Risk Assessment in The Netherlands. Scientific Programming. 18(2). 93–105. 10 indexed citations
14.
Schweckendiek, T., et al.. (2008). River System Behaviour Effects on Flood Risk. Research Repository (Delft University of Technology). 2807. 1 indexed citations
15.
Schweckendiek, T., W.M.G. Courage, & Pieter van Gelder. (2007). Reliability of Sheet Pile Walls And The Influence of Corrosion: Structural Reliability Analysis with Finite Elements. Data Archiving and Networked Services (DANS). 1791. 6 indexed citations
16.
Schweckendiek, T. & W.M.G. Courage. (2006). Structural reliability of sheet pile walls using finite element analysis. TNO Repository. 15. 1 indexed citations
17.
Courage, W.M.G., et al.. (2000). Application of the stress wave method to automatic signal matching and to statnamic predictions. TNO Repository. 575. 3 indexed citations
18.
Courage, W.M.G., et al.. (1996). TNOWAVE automatic signal matching for dynamic load testing. TNO Repository. 1. 1 indexed citations
19.
Courage, W.M.G. & P.J.G. Schreurs. (1992). Effective material parameters for composites with randomly oriented short fibres. Computers & Structures. 44(6). 1179–1185. 6 indexed citations
20.
Courage, W.M.G., P.J.G. Schreurs, & J.D. Janssen. (1990). Estimation of mechanical parameter values of composites with the use of finite element and system identification techniques. Computers & Structures. 34(2). 231–237. 4 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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