Irwanda Laory

565 total citations
26 papers, 447 citations indexed

About

Irwanda Laory is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Irwanda Laory has authored 26 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 8 papers in Mechanics of Materials and 4 papers in Control and Systems Engineering. Recurrent topics in Irwanda Laory's work include Structural Health Monitoring Techniques (21 papers), Infrastructure Maintenance and Monitoring (12 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). Irwanda Laory is often cited by papers focused on Structural Health Monitoring Techniques (21 papers), Infrastructure Maintenance and Monitoring (12 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). Irwanda Laory collaborates with scholars based in United Kingdom, Switzerland and China. Irwanda Laory's co-authors include Ian F. C. Smith, Thanh Trinh, Yanjie Zhu, James Brownjohn, Yi‐Qing Ni, Jingliang Liu, P.E. Brommer, Daniele Inaudi, Hui Jin and Daniele Posenato and has published in prestigious journals such as Engineering Structures, Computers & Structures and Smart Materials and Structures.

In The Last Decade

Irwanda Laory

24 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irwanda Laory United Kingdom 11 416 82 59 44 36 26 447
Rosalba Ferrari Italy 11 323 0.8× 72 0.9× 71 1.2× 44 1.0× 39 1.1× 29 368
Nikos Pnevmatikos Greece 14 513 1.2× 52 0.6× 68 1.2× 57 1.3× 29 0.8× 44 569
Xiang Xu China 14 420 1.0× 71 0.9× 80 1.4× 26 0.6× 19 0.5× 37 495
Daniele Pellegrini Italy 16 485 1.2× 91 1.1× 80 1.4× 22 0.5× 49 1.4× 45 600
Debarshi Sen United States 8 324 0.8× 118 1.4× 86 1.5× 46 1.0× 22 0.6× 16 381
Peter Kraemer Germany 7 227 0.5× 90 1.1× 101 1.7× 49 1.1× 44 1.2× 35 285
Minwoo Chang South Korea 11 394 0.9× 47 0.6× 83 1.4× 29 0.7× 42 1.2× 31 428
Mark Dzwonczyk United States 7 307 0.7× 86 1.0× 53 0.9× 52 1.2× 29 0.8× 12 354
Yu Xin China 11 381 0.9× 97 1.2× 95 1.6× 122 2.8× 56 1.6× 21 435
Samir Said Germany 11 354 0.9× 55 0.7× 112 1.9× 82 1.9× 24 0.7× 22 414

Countries citing papers authored by Irwanda Laory

Since Specialization
Citations

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

Fields of papers citing papers by Irwanda Laory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irwanda Laory

This figure shows the co-authorship network connecting the top 25 collaborators of Irwanda Laory. A scholar is included among the top collaborators of Irwanda Laory 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 Irwanda Laory. Irwanda Laory 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.
Darmawan, Muhammad Sigit, et al.. (2025). Spatio–temporal enhanced anomaly detection in FRP bridge monitoring using MPCA, biGRU, and attention mechanisms. Journal of Civil Structural Health Monitoring. 15(6). 1837–1855. 1 indexed citations
2.
Imjai, Thanongsak, et al.. (2024). Experimental and Numerical Investigation of Hybrid Fiber Reinforced Concrete for Vibration-Based Damage Assessment. Engineered Science. 4 indexed citations
3.
Živanović, Stana, et al.. (2023). Correlation-based damage detection method using convolutional neural network for civil infrastructure. Computers & Structures. 282. 107034–107034. 13 indexed citations
4.
Laory, Irwanda, et al.. (2022). Automated building classification framework using convolutional neural network. Cogent Engineering. 9(1). 5 indexed citations
5.
Laory, Irwanda, et al.. (2022). Wall Crack Multiclass Classification: Expertise-Based Dataset Construction and Learning Algorithms Performance Comparison. Buildings. 12(12). 2135–2135. 6 indexed citations
6.
Salami, Mohammad Reza, et al.. (2021). Estimation of structural response using convolutional neural network: application to the Suramadu bridge. Engineering Computations. 38(10). 4047–4065. 8 indexed citations
7.
Zhu, Yanjie, Yi‐Qing Ni, Hui Jin, Daniele Inaudi, & Irwanda Laory. (2019). A temperature-driven MPCA method for structural anomaly detection. Engineering Structures. 190. 447–458. 59 indexed citations
8.
Brommer, P.E., et al.. (2019). Modular Bayesian damage detection for complex civil infrastructure. Journal of Civil Structural Health Monitoring. 9(2). 201–215. 16 indexed citations
9.
Liu, Jingliang, Jinyang Zheng, Xiaojun Wei, Wei‐Xin Ren, & Irwanda Laory. (2019). A combined method for instantaneous frequency identification in low frequency structures. Engineering Structures. 194. 370–383. 28 indexed citations
10.
Wei, Xiaojun, et al.. (2018). Instantaneous frequency extraction in time-varying structures using a maximum gradient method. Smart Structures and Systems. 22(3). 359–368. 4 indexed citations
11.
12.
Brommer, P.E., et al.. (2017). Comprehensive Bayesian structural identification using temperature variation. Engineering Structures. 141. 75–82. 18 indexed citations
13.
Laory, Irwanda, et al.. (2013). Temperature Variations as Loads Cases for Structural Identification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
14.
Laory, Irwanda, Thanh Trinh, Daniele Posenato, & Ian F. C. Smith. (2013). Combined Model-Free Data-Interpretation Methodologies for Damage Detection during Continuous Monitoring of Structures. Journal of Computing in Civil Engineering. 27(6). 657–666. 49 indexed citations
15.
Laory, Irwanda. (2013). Model-Free Methodologies for Data-Interpretation during Continuous Monitoring of Structures. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
16.
Laory, Irwanda, Nizar Bel Hadj Ali, Thanh Trinh, & Ian F. C. Smith. (2012). Measurement System Configuration for Damage Identification of Continuously Monitored Structures. Journal of Bridge Engineering. 17(6). 857–866. 26 indexed citations
17.
Laory, Irwanda, Thanh Trinh, & Ian F. C. Smith. (2011). Performance of Two Model-Free Data Interpretation Methods for Continuous Monitoring of Structures under Environmental Variations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 25–32. 1 indexed citations
18.
Laory, Irwanda, Thanh Trinh, Nizar Bel Hadj Ali, & Ian F. C. Smith. (2011). Designing measurement systems for continuous monitoring of structures. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
19.
Laory, Irwanda, Thanh Trinh, & Ian F. C. Smith. (2011). Evaluating two model-free data interpretation methods for measurements that are influenced by temperature. Advanced Engineering Informatics. 25(3). 495–506. 52 indexed citations
20.
Laory, Irwanda, Prakash Kripakaran, & Ian F. C. Smith. (2010). Structural identification through continuous monitoring: data cleansing using temperature variations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 447. 2 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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