Giuseppina Uva

3.7k total citations · 2 hit papers
140 papers, 2.8k citations indexed

About

Giuseppina Uva is a scholar working on Civil and Structural Engineering, Building and Construction and Earth-Surface Processes. According to data from OpenAlex, Giuseppina Uva has authored 140 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Civil and Structural Engineering, 37 papers in Building and Construction and 16 papers in Earth-Surface Processes. Recurrent topics in Giuseppina Uva's work include Seismic Performance and Analysis (61 papers), Masonry and Concrete Structural Analysis (50 papers) and Structural Health Monitoring Techniques (48 papers). Giuseppina Uva is often cited by papers focused on Seismic Performance and Analysis (61 papers), Masonry and Concrete Structural Analysis (50 papers) and Structural Health Monitoring Techniques (48 papers). Giuseppina Uva collaborates with scholars based in Italy, Spain and United Kingdom. Giuseppina Uva's co-authors include Sergio Ruggieri, Francesco Porco, Andrea Fiore, Siro Casolo, Domenico Raffaele, Andrea Nettis, Angelo Cardellicchio, Valentino Sangiorgio, Valeria Leggieri and Fabio Fatiguso and has published in prestigious journals such as Construction and Building Materials, IEEE Access and International Journal of Solids and Structures.

In The Last Decade

Giuseppina Uva

132 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage

2023 87 citations Angelo Cardellicchio, Sergio Ruggieri et al. Engineering Failure Analysis profile →
Artificial intelligence in structural health management of existing bridges

2024 55 citations Angelo Cardellicchio, Sergio Ruggieri et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Giuseppina Uva	2.4k	701	283	133	119	140	2.8k
Halil Sezen	3.5k 1.5×	1.8k 2.6×	215 0.8×	195 1.5×	61 0.5×	113	3.9k
Francesca da Porto	2.9k 1.2×	973 1.4×	1.0k 3.6×	141 1.1×	126 1.1×	156	3.1k
Antonio Formisano	3.4k 1.4×	1.1k 1.5×	734 2.6×	231 1.7×	129 1.1×	228	3.7k
Giovanni Fabbrocino	3.1k 1.3×	905 1.3×	236 0.8×	293 2.2×	132 1.1×	162	3.6k
Nicola Cavalagli	1.6k 0.7×	246 0.4×	219 0.8×	110 0.8×	220 1.8×	85	2.0k
Ahmet Can Altunışık	3.0k 1.2×	440 0.6×	230 0.8×	330 2.5×	62 0.5×	209	3.1k
Angelo Masi	2.5k 1.0×	840 1.2×	157 0.6×	127 1.0×	34 0.3×	127	2.8k
Alemdar Bayraktar	3.3k 1.3×	448 0.6×	258 0.9×	281 2.1×	54 0.5×	179	3.5k
Anı́bal Costa	2.9k 1.2×	1.6k 2.2×	960 3.4×	130 1.0×	114 1.0×	216	3.6k
Francesco Clementi	2.4k 1.0×	560 0.8×	647 2.3×	218 1.6×	187 1.6×	123	2.8k

Countries citing papers authored by Giuseppina Uva

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppina Uva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppina Uva

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Uva. A scholar is included among the top collaborators of Giuseppina Uva 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 Giuseppina Uva. Giuseppina Uva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ruggieri, Sergio, et al.. (2025). An intelligent agent-based method for model updating of structures with multiple uncertain parameters via deep reinforcement learning. Mechanical Systems and Signal Processing. 234. 112832–112832.

Cardellicchio, Angelo, et al.. (2025). Computer vision-based seismic assessment of RC simply supported bridges characterized by corroded circular piers. Bulletin of Earthquake Engineering. 23(15). 6771–6800.

Ruggieri, Sergio, et al.. (2025). A multidimensional discrete sampling method for deriving regional level seismic fragility and losses of RC existing buildings. International Journal of Disaster Risk Reduction. 129. 105788–105788. 1 indexed citations

Ruggieri, Sergio, et al.. (2024). Seismic fragility and risk assessment of Reinforced Concrete bridges undergoing elastomeric bearing deformations induced by landslide. 1(1). 6 indexed citations

Ruggieri, Sergio, et al.. (2024). Assessing the dredging vibrational effects on surrounding structures: The case of port nourishment in Bari. Journal of Building Engineering. 96. 110385–110385. 6 indexed citations

Nettis, Andrea, et al.. (2024). On the use of MTInSAR data and UAV photogrammetry to monitor the behavior of existing bridge portfolios. Procedia Structural Integrity. 62. 924–931.

Ruggieri, Sergio, et al.. (2024). Assessment of the seismic overpressure in flat bottom steel silos based on advanced FE modelling approach. Soil Dynamics and Earthquake Engineering. 190. 109149–109149. 10 indexed citations

Ruggieri, Sergio, Angelo Cardellicchio, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2024). Automatic detection of typical defects in reinforced concrete bridges via YOLOv5. Procedia Structural Integrity. 62. 129–136. 4 indexed citations

Ruggieri, Sergio, et al.. (2024). A MTInSAR‐Based Early Warning System to Appraise Deformations in Simply Supported Concrete Girder Bridges. Structural Control and Health Monitoring. 2024(1). 27 indexed citations

10.

Leggieri, Valeria, Francesco S. Liguori, Sergio Ruggieri, et al.. (2023). SEISMIC FRAGILITY EVALUATION OF TYPOLOGICAL MASONRY AGGREGATES ACCOUNTING FOR LOCAL COLLAPSE MECHANISMS. COMPDYN Proceedings. 1779–1791. 3 indexed citations

11.

Ruggieri, Sergio, et al.. (2023). A numerical procedure to estimate seismic fragility of cylindrical ground-supported steel silos containing granular-like material. Bulletin of Earthquake Engineering. 21(13). 5915–5947. 32 indexed citations

12.

Cardellicchio, Angelo, Sergio Ruggieri, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2023). Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage. Engineering Failure Analysis. 149. 107237–107237. 87 indexed citations breakdown →

13.

Casolo, Siro, et al.. (2023). About the Use of Concrete Damage Plasticity for Modeling Masonry Post-Elastic Behavior. Buildings. 13(8). 1915–1915. 13 indexed citations

14.

Ruggieri, Sergio, et al.. (2022). Reduced‐order models for the seismic assessment of plan‐irregular low‐rise frame buildings. Earthquake Engineering & Structural Dynamics. 51(14). 3327–3346. 37 indexed citations

15.

Ruggieri, Sergio, Andrea Fiore, & Giuseppina Uva. (2021). A New Approach to Predict the Fundamental Period of Vibration for Newly-designed Reinforced Concrete Buildings. Journal of Earthquake Engineering. 26(13). 6943–6968. 29 indexed citations

16.

Cardellicchio, Angelo, Sergio Ruggieri, Valeria Leggieri, & Giuseppina Uva. (2021). View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings. Data. 7(1). 4–4. 24 indexed citations

17.

Ruggieri, Sergio, et al.. (2020). Seismic Vulnerability Analysis of Masonry Churches in Piemonte after 2003 Valle Scrivia Earthquake: Post-event Screening and Situation 17 Years Later. International Journal of Architectural Heritage. 16(5). 717–745. 51 indexed citations

18.

Gentile, Roberto, Ciro Del Vecchio, Stefano Pampanin, Domenico Raffaele, & Giuseppina Uva. (2019). Refinement and Validation of the Simple Lateral Mechanism Analysis (SLaMA) Procedure for RC Frames. Journal of Earthquake Engineering. 25(7). 1227–1255. 41 indexed citations

19.

Gentile, Roberto, Giuseppina Uva, & Stefano Pampanin. (2018). Mechanical interpretation of infills-to-frame interaction: contributions to the global base shear for strut-based frame models. UCL Discovery (University College London). 1 indexed citations

20.

Uva, Giuseppina, Valentino Sangiorgio, Sergio Ruggieri, & Fabio Fatiguso. (2018). Structural vulnerability assessment of masonry churches supported by user-reported data and modern Internet of Things (IoT). Measurement. 131. 183–192. 42 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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