Martin Dalgaard Ulriksen

699 total citations
45 papers, 431 citations indexed

About

Martin Dalgaard Ulriksen is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Martin Dalgaard Ulriksen has authored 45 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Civil and Structural Engineering, 17 papers in Mechanics of Materials and 14 papers in Mechanical Engineering. Recurrent topics in Martin Dalgaard Ulriksen's work include Structural Health Monitoring Techniques (37 papers), Ultrasonics and Acoustic Wave Propagation (11 papers) and Probabilistic and Robust Engineering Design (10 papers). Martin Dalgaard Ulriksen is often cited by papers focused on Structural Health Monitoring Techniques (37 papers), Ultrasonics and Acoustic Wave Propagation (11 papers) and Probabilistic and Robust Engineering Design (10 papers). Martin Dalgaard Ulriksen collaborates with scholars based in Denmark, United States and United Kingdom. Martin Dalgaard Ulriksen's co-authors include Dionisio Bernal, Lars Damkilde, Dmitri Tcherniak, John Dalsgaard Sørensen, Poul Henning Kirkegaard, Jannie Sønderkær Nielsen, Ursula Smolka, Lars Damkilde, Palle Andersen and Michael Döhler and has published in prestigious journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing and Energies.

In The Last Decade

Martin Dalgaard Ulriksen

40 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Dalgaard Ulriksen Denmark 12 334 121 97 87 65 45 431
Konstantinos Tatsis Switzerland 13 295 0.9× 93 0.8× 90 0.9× 90 1.0× 71 1.1× 36 417
Kalil Erazo United States 13 585 1.8× 104 0.9× 117 1.2× 167 1.9× 93 1.4× 22 663
Arunasis Chakraborty India 15 454 1.4× 87 0.7× 94 1.0× 169 1.9× 73 1.1× 38 582
Eric M. Hernandez United States 16 470 1.4× 116 1.0× 82 0.8× 108 1.2× 103 1.6× 40 570
Mohammed Ettouney United States 16 648 1.9× 80 0.7× 49 0.5× 62 0.7× 52 0.8× 72 751
Yaozhi Luo China 14 370 1.1× 105 0.9× 96 1.0× 60 0.7× 22 0.3× 46 505
Mingming Song China 15 461 1.4× 64 0.5× 118 1.2× 137 1.6× 167 2.6× 45 636
Mohammad Ali Hadianfard Iran 16 604 1.8× 75 0.6× 65 0.7× 32 0.4× 92 1.4× 55 720
Loris Vincenzi Italy 16 588 1.8× 66 0.5× 111 1.1× 36 0.4× 65 1.0× 51 703

Countries citing papers authored by Martin Dalgaard Ulriksen

Since Specialization
Citations

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

Fields of papers citing papers by Martin Dalgaard Ulriksen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Dalgaard Ulriksen. 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 Martin Dalgaard Ulriksen. The network helps show where Martin Dalgaard Ulriksen may publish in the future.

Co-authorship network of co-authors of Martin Dalgaard Ulriksen

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Dalgaard Ulriksen. A scholar is included among the top collaborators of Martin Dalgaard Ulriksen 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 Martin Dalgaard Ulriksen. Martin Dalgaard Ulriksen 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.
Ulriksen, Martin Dalgaard, et al.. (2025). Full-field stress estimation of offshore structures using modal expansion and principal component analysis. Journal of Sound and Vibration. 618. 119295–119295.
2.
Ulriksen, Martin Dalgaard & Dionisio Bernal. (2025). Sensitivity-based model updating with parameter rejection. Applied Mathematical Modelling. 148. 116253–116253.
3.
Ulriksen, Martin Dalgaard, et al.. (2023). EIGENVECTOR ASSIGNEMENT FOR DAMAGE LOCALIZATION WITH INVARIANT EIGENVALUES. 1113–1123.
4.
Ulriksen, Martin Dalgaard, et al.. (2023). Closed-loop load vectors for structural damage localization. Mechanical Systems and Signal Processing. 196. 110321–110321. 1 indexed citations
5.
Ulriksen, Martin Dalgaard, et al.. (2022). On the influence of environmental and operational variability on modal parameters of offshore wind support structures. Marine Structures. 84. 103185–103185. 2 indexed citations
6.
Ulriksen, Martin Dalgaard, et al.. (2021). Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information. Energies. 14(18). 5859–5859. 30 indexed citations
7.
Pedersen, Simon & Martin Dalgaard Ulriksen. (2021). Closed‐loop experimental testing framework for structural control applications. Structural Control and Health Monitoring. 28(8). 4 indexed citations
8.
Ulriksen, Martin Dalgaard, et al.. (2020). Damage detection under temperature variability using closed-loop mode shapes. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
9.
Ulriksen, Martin Dalgaard, et al.. (2020). A COMPARISON OF GAIN DESIGN CRITERIA FOR CLOSED-LOOP MODEL UPDATING. 4630–4638.
10.
Avendaño-Valencia, Luis David, et al.. (2020). Removal of environmental and operational effects in damage detection: A comparative study with an operating wind turbine. VBN Forskningsportal (Aalborg Universitet). 4 indexed citations
11.
Ulriksen, Martin Dalgaard, Dionisio Bernal, & Lars Damkilde. (2018). Shaped input distributions for structural damage localization. Mechanical Systems and Signal Processing. 110. 499–508. 8 indexed citations
12.
Nielsen, Jannie Sønderkær, Dmitri Tcherniak, & Martin Dalgaard Ulriksen. (2018). Quantifying the value of SHM for wind turbine blades. VBN Forskningsportal (Aalborg Universitet). 168. 2 indexed citations
13.
Ulriksen, Martin Dalgaard & Dionisio Bernal. (2017). Sensor distributions for structural monitoring: a correlation study. Belarusian State Pedagogical University repository (Belarusian State Pedagogical University). 60. 84 indexed citations
14.
Ulriksen, Martin Dalgaard, et al.. (2017). Statistical methods for damage detection applied to civil structures. Procedia Engineering. 199. 1919–1924. 26 indexed citations
15.
Ulriksen, Martin Dalgaard, Dionisio Bernal, & Lars Damkilde. (2016). Sensor Placement for Modal Parameter Subset Estimation: A Frequency Response-based Approach. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
16.
Ulriksen, Martin Dalgaard, et al.. (2016). In-situ damage localization for a wind turbine blade through outlier analysis of stochastic dynamic damage location vector-induced stress resultants. Structural Health Monitoring. 16(6). 745–761. 15 indexed citations
17.
Ulriksen, Martin Dalgaard & Lars Damkilde. (2015). Structural damage localization by outlier analysis of signal-processed mode shapes – Analytical and experimental validation. Mechanical Systems and Signal Processing. 68-69. 1–14. 21 indexed citations
18.
Hansen, Laura, et al.. (2015). Statistical evaluation of characteristic SDDLV-induced stress resultants to discriminate between undamaged and damaged elements. Journal of Physics Conference Series. 628. 12003–12003. 2 indexed citations
19.
Ulriksen, Martin Dalgaard, Dmitri Tcherniak, & Lars Damkilde. (2015). Damage detection in an operating Vestas V27 wind turbine blade by use of outlier analysis. VBN Forskningsportal (Aalborg Universitet). 50–55. 21 indexed citations
20.
Ulriksen, Martin Dalgaard, et al.. (2013). Modal Analysis for Crack Detection in Small Wind Turbine Blades. Key engineering materials. 569-570. 603–610. 6 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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