Ilaria Venanzi

1.7k total citations
85 papers, 1.2k citations indexed

About

Ilaria Venanzi is a scholar working on Civil and Structural Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Ilaria Venanzi has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Civil and Structural Engineering, 20 papers in Environmental Engineering and 8 papers in Computational Mechanics. Recurrent topics in Ilaria Venanzi's work include Structural Health Monitoring Techniques (44 papers), Infrastructure Maintenance and Monitoring (30 papers) and Concrete Corrosion and Durability (28 papers). Ilaria Venanzi is often cited by papers focused on Structural Health Monitoring Techniques (44 papers), Infrastructure Maintenance and Monitoring (30 papers) and Concrete Corrosion and Durability (28 papers). Ilaria Venanzi collaborates with scholars based in Italy, Spain and United States. Ilaria Venanzi's co-authors include Filippo Ubertini, Laura Ierimonti, Annibale Luigi Materazzi, Nicola Cavalagli, Enrique García‐Macías, Luca Caracoglia, Alban Kita, Oren Lavan, Diana Salciarini and Alfredo Milani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.

In The Last Decade

Ilaria Venanzi

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilaria Venanzi Italy 21 1.0k 219 126 117 88 85 1.2k
Hamed Ebrahimian United States 20 1.0k 1.0× 110 0.5× 225 1.8× 176 1.5× 213 2.4× 60 1.3k
Massimiliano Gioffrè Italy 21 776 0.8× 531 2.4× 366 2.9× 66 0.6× 39 0.4× 74 1.2k
Yousok Kim South Korea 21 966 0.9× 150 0.7× 35 0.3× 139 1.2× 57 0.6× 57 1.3k
Kang Zhou China 17 476 0.5× 269 1.2× 30 0.2× 73 0.6× 67 0.8× 46 698
Rodrigo Astroza Chile 23 1.5k 1.4× 129 0.6× 310 2.5× 226 1.9× 273 3.1× 77 1.7k
Ki Young Koo United Kingdom 23 1.6k 1.6× 112 0.5× 101 0.8× 308 2.6× 102 1.2× 67 1.8k
Rosario Ceravolo Italy 25 1.4k 1.3× 70 0.3× 157 1.2× 203 1.7× 156 1.8× 155 1.6k
Maria Pina Limongelli Italy 23 1.2k 1.1× 60 0.3× 80 0.6× 128 1.1× 56 0.6× 98 1.3k
Dionysius M. Siringoringo Japan 24 1.5k 1.4× 167 0.8× 41 0.3× 377 3.2× 194 2.2× 60 1.6k
José Antonio Lozano-Galant Spain 21 759 0.7× 91 0.4× 53 0.4× 208 1.8× 68 0.8× 86 1.1k

Countries citing papers authored by Ilaria Venanzi

Since Specialization
Citations

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

Fields of papers citing papers by Ilaria Venanzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilaria Venanzi

This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Venanzi. A scholar is included among the top collaborators of Ilaria Venanzi 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 Ilaria Venanzi. Ilaria Venanzi 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.
García‐Macías, Enrique, et al.. (2024). Dynamic characterization of a curved nine-spans pre-stressed concrete box girder bridge with half-joints. Procedia Structural Integrity. 62. 903–910. 1 indexed citations
2.
Faleschini, Flora, Enrique García‐Macías, Carmelo Gentile, et al.. (2024). Management of road bridge networks in Italy by means of integrated SHM systems. Procedia Structural Integrity. 64. 40–47. 1 indexed citations
3.
Ierimonti, Laura, et al.. (2024). A Bayesian network-based framework for SHM data fusion supporting bridge management. Procedia Structural Integrity. 62. 832–839.
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Venanzi, Ilaria, et al.. (2024). A domain adaptation approach to damage classification with an application to bridge monitoring. Mechanical Systems and Signal Processing. 209. 111135–111135. 43 indexed citations
6.
Mills, Robin S., et al.. (2024). Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges. Mechanical Systems and Signal Processing. 224. 112151–112151. 13 indexed citations
7.
Ierimonti, Laura, et al.. (2024). Bayesian-based multi-class damage identification on prestressed reinforced concrete bridges. Structure and Infrastructure Engineering. 1–17.
8.
Meoni, Andrea, et al.. (2024). SHM-based digital twin calibration of a post-tensioned reinforced concrete bridge with vertically prestressed internal joints. Procedia Structural Integrity. 62. 955–962. 1 indexed citations
9.
Ierimonti, Laura, et al.. (2023). A LCCA framework for the management of bridges based on data fusion from visual inspections and SHM systems.. ce/papers. 6(5). 780–786. 2 indexed citations
10.
Meoni, Andrea, Enrique García‐Macías, Ilaria Venanzi, & Filippo Ubertini. (2023). A procedure for bridge visual inspections prioritisation in the context of preliminary risk assessment with limited information. Structure and Infrastructure Engineering. 21(3). 394–420. 9 indexed citations
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Venanzi, Ilaria, et al.. (2022). Autoencoders for unsupervised real-time bridge health assessment. Computer-Aided Civil and Infrastructure Engineering. 38(8). 959–974. 62 indexed citations
14.
Ierimonti, Laura, Nicola Cavalagli, Ilaria Venanzi, Enrique García‐Macías, & Filippo Ubertini. (2022). A Bayesian-based inspection-monitoring data fusion approach for historical buildings and its post-earthquake application to a monumental masonry palace. Bulletin of Earthquake Engineering. 21(2). 1139–1172. 12 indexed citations
15.
Ierimonti, Laura, Nicola Cavalagli, Ilaria Venanzi, Enrique García‐Macías, & Filippo Ubertini. (2021). A transfer Bayesian learning methodology for structural health monitoring of monumental structures. Engineering Structures. 247. 113089–113089. 40 indexed citations
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Lavan, Oren, et al.. (2020). Life-cycle cost-based optimization of MTMDs for tall buildings under multiple hazards. Structure and Infrastructure Engineering. 17(7). 921–940. 28 indexed citations
18.
Venanzi, Ilaria, Laura Ierimonti, & Luca Caracoglia. (2020). Life-cycle-cost optimization for the wind load design of tall buildings equipped with TMDs. Wind and Structures. 30(4). 379–392. 9 indexed citations
19.
García‐Macías, Enrique, Laura Ierimonti, Ilaria Venanzi, & Filippo Ubertini. (2019). An Innovative Methodology for Online Surrogate-Based Model Updating of Historic Buildings Using Monitoring Data. International Journal of Architectural Heritage. 15(1). 92–112. 51 indexed citations
20.
Venanzi, Ilaria, et al.. (2018). Multi-hazard loss analysis of tall buildings under wind and seismic loads. Structure and Infrastructure Engineering. 14(10). 1295–1311. 55 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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