Malcolm McGugan

1.5k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Malcolm McGugan is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Malcolm McGugan has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 19 papers in Mechanics of Materials and 13 papers in Mechanical Engineering. Recurrent topics in Malcolm McGugan's work include Structural Health Monitoring Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (12 papers) and Machine Fault Diagnosis Techniques (8 papers). Malcolm McGugan is often cited by papers focused on Structural Health Monitoring Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (12 papers) and Machine Fault Diagnosis Techniques (8 papers). Malcolm McGugan collaborates with scholars based in Denmark, United Kingdom and Spain. Malcolm McGugan's co-authors include Kim Branner, Bent F. Sørensen, Leon Mishnaevsky, Helga Nørgaard Petersen, Justine Beauson, Lars Pilgaard Mikkelsen, Xiao Chen, Helmuth Langmaack Toftegaard, Lars Lading and Marcin Łuczak and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Renewable Energy.

In The Last Decade

Malcolm McGugan

36 papers receiving 1.1k citations

Hit Papers

Materials for Wind Turbine Blades: An Overview 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Materials for Wind Turbine Blades: An Overview
    2017 522 citations Leon Mishnaevsky, Kim Branner et al. Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm McGugan Denmark 14 439 431 401 217 158 37 1.1k
Kim Branner Denmark 20 574 1.3× 779 1.8× 699 1.7× 460 2.1× 124 0.8× 93 1.8k
Garth Pearce Australia 17 360 0.8× 430 1.0× 270 0.7× 160 0.7× 87 0.6× 60 1.1k
Julie Teuwen Netherlands 19 626 1.4× 500 1.2× 113 0.3× 315 1.5× 180 1.1× 52 1.5k
Michael Sinapius Germany 23 744 1.7× 682 1.6× 465 1.2× 268 1.2× 193 1.2× 190 1.9k
Giuliano Allegri United Kingdom 27 658 1.5× 1.3k 3.0× 647 1.6× 286 1.3× 93 0.6× 105 2.0k
Deqing Yang China 22 568 1.3× 436 1.0× 624 1.6× 148 0.7× 53 0.3× 84 1.5k
Vassilios Kappatos Greece 19 477 1.1× 459 1.1× 242 0.6× 178 0.8× 83 0.5× 84 1.1k
Francesco Marulo Italy 20 382 0.9× 376 0.9× 505 1.3× 118 0.5× 74 0.5× 85 1.2k
Hang Zhang China 21 541 1.2× 288 0.7× 399 1.0× 186 0.9× 296 1.9× 133 1.6k
Changduk Kong South Korea 13 331 0.8× 359 0.8× 239 0.6× 389 1.8× 52 0.3× 107 1.0k

Countries citing papers authored by Malcolm McGugan

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm McGugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm McGugan

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm McGugan. A scholar is included among the top collaborators of Malcolm McGugan 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 Malcolm McGugan. Malcolm McGugan 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.
Benzon, Hans‐Henrik von, Malcolm McGugan, & Xiao Chen. (2025). Use of Fourier-based frequency-wavenumber domain filtering of simulated elastic waves for damage detection in fiber/polymer composites. Composites Part C Open Access. 17. 100626–100626.
2.
McGugan, Malcolm, et al.. (2024). Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection. Engineering Applications of Artificial Intelligence. 137. 109234–109234. 4 indexed citations
3.
Benzon, Hans‐Henrik von, et al.. (2024). Acoustic emission data analytics on delamination growth in a wind turbine blade under full-scale cyclic testing. Measurement. 242. 115822–115822. 7 indexed citations
4.
Miao, Xing-Yuan, Xiao Chen, Steffen Rasmussen, & Malcolm McGugan. (2024). Compression–compression fatigue damage of wrinkled carbon/glass hybrid composite laminates. Composite Structures. 346. 118443–118443. 9 indexed citations
5.
Benzon, Hans‐Henrik von, Malcolm McGugan, Xiao Chen, et al.. (2024). Analysis of damage localization based on acoustic emission data from test of wind turbine blades. Measurement. 231. 114661–114661. 17 indexed citations
6.
Chen, Xiao, et al.. (2024). Monitoring fatigue delamination growth in a wind turbine blade using passive thermography and acoustic emission. Structural Health Monitoring. 23(5). 2906–2921. 14 indexed citations
7.
8.
McGugan, Malcolm, et al.. (2022). Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing. SHILAP Revista de lepidopterología. 3. 11 indexed citations
9.
Branner, Kim, M. Eder, Hilmar Kjartansson Danielsen, Xiao Chen, & Malcolm McGugan. (2021). Towards more smart, efficient and reliable wind-turbine structures. DTU Data. 115–124. 3 indexed citations
10.
Chen, Xiao, et al.. (2020). Fatigue testing of a 14.3 m composite blade embedded with artificial defects – Damage growth and structural health monitoring. Composites Part A Applied Science and Manufacturing. 140. 106189–106189. 51 indexed citations
11.
Bech, Jakob Ilsted, et al.. (2018). Impact fatigue damage of coated glass fibre reinforced polymer laminate. Renewable Energy. 126. 1102–1112. 35 indexed citations
12.
Mishnaevsky, Leon, Kim Branner, Helga Nørgaard Petersen, et al.. (2017). Materials for Wind Turbine Blades: An Overview. Materials. 10(11). 1285–1285. 522 indexed citations breakdown →
13.
McGugan, Malcolm, et al.. (2016). MARE-WINT. Directory of Open access Books (OAPEN Foundation). 40 indexed citations
14.
Mikkelsen, Lars Pilgaard, et al.. (2015). Crack Detection in Fibre Reinforced Plastic Structures Using Embedded Fibre Bragg Grating Sensors: Theory, Model Development and Experimental Validation. PLoS ONE. 10(10). e0141495–e0141495. 30 indexed citations
15.
McGugan, Malcolm, et al.. (2013). Multivariate data-driven modelling and pattern recognition for damage detection and identification for acoustic emission and acousto-ultrasonics. Smart Materials and Structures. 22(10). 105023–105023. 20 indexed citations
16.
McGugan, Malcolm, et al.. (2009). Non-Destructive Analysis of Wind Turbine Blade Structural Integrity. 417–426. 2 indexed citations
17.
McGugan, Malcolm, et al.. (2008). Fundamentals for remote condition monitoring of offshore wind turbines. 8 indexed citations
18.
Branner, Kim, Per Hørlyk Nielsen, Peter Berring, et al.. (2008). Full Scale Test of a SSP 34m boxgirder 2: Data report. 1 indexed citations
19.
McGugan, Malcolm, et al.. (2006). Condition monitoring of wind turbine blades. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 139–145. 12 indexed citations
20.
McGugan, Malcolm, et al.. (2002). Fundamentals for remote structural health monitoring of wind turbine blades - a preproject. Annex E. Full-scale test of wind turbine blade, using sensors and NDT. 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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