Davide Forcellini

3.1k total citations
104 papers, 2.1k citations indexed

About

Davide Forcellini is a scholar working on Civil and Structural Engineering, Surgery and Building and Construction. According to data from OpenAlex, Davide Forcellini has authored 104 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Civil and Structural Engineering, 14 papers in Surgery and 9 papers in Building and Construction. Recurrent topics in Davide Forcellini's work include Seismic Performance and Analysis (40 papers), Geotechnical Engineering and Underground Structures (32 papers) and Geotechnical Engineering and Soil Stabilization (22 papers). Davide Forcellini is often cited by papers focused on Seismic Performance and Analysis (40 papers), Geotechnical Engineering and Underground Structures (32 papers) and Geotechnical Engineering and Soil Stabilization (22 papers). Davide Forcellini collaborates with scholars based in San Marino, Italy and New Zealand. Davide Forcellini's co-authors include Fabio Caviggioli, Marco Klinger, Luca Maione, Ahmed Elgamal, Jinchi Lu, Valeriano Vinci, Saif Alzabeebee, Barbara Catania, Valeria Bandi and Silvia Giannasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Plastic & Reconstructive Surgery.

In The Last Decade

Davide Forcellini

100 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Forcellini San Marino 30 1.4k 352 203 190 164 104 2.1k
Qingsheng Chen China 32 1.5k 1.1× 259 0.7× 91 0.4× 77 0.4× 43 0.3× 113 3.9k
Chuanqi Liu China 17 207 0.1× 112 0.3× 28 0.1× 74 0.4× 20 0.1× 72 936
Andrew Thomas United Kingdom 21 124 0.1× 321 0.9× 39 0.2× 85 0.4× 29 0.2× 53 1.5k
Tae-Min Oh United States 27 351 0.2× 492 1.4× 457 2.3× 40 0.2× 10 0.1× 124 2.2k
J.A. Clarke United Kingdom 24 40 0.0× 172 0.5× 104 0.5× 1.2k 6.3× 77 0.5× 95 2.2k
Joon Kyu Lee South Korea 19 593 0.4× 451 1.3× 14 0.1× 48 0.3× 65 0.4× 91 1.3k
Bingqian Yan China 16 197 0.1× 91 0.3× 70 0.3× 42 0.2× 33 0.2× 36 726
Naveen Garg United States 22 70 0.0× 294 0.8× 459 2.3× 76 0.4× 2 0.0× 132 1.9k
Weishe Zhang China 12 93 0.1× 60 0.2× 84 0.4× 14 0.1× 141 0.9× 50 986
Matteo Colombo Italy 23 1.2k 0.8× 493 1.4× 7 0.0× 705 3.7× 22 0.1× 111 2.0k

Countries citing papers authored by Davide Forcellini

Since Specialization
Citations

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

Fields of papers citing papers by Davide Forcellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Forcellini

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Forcellini. A scholar is included among the top collaborators of Davide Forcellini 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 Davide Forcellini. Davide Forcellini 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.
Forcellini, Davide, et al.. (2025). Seismic resilience of composite moment frames buildings with slender built-up columns. Journal of Building Engineering. 111. 113532–113532. 14 indexed citations
2.
Forcellini, Davide, et al.. (2025). A framework to quantify the impact of deterioration on the seismic resilience of structures. Structure and Infrastructure Engineering. 1–9. 5 indexed citations
3.
Kameshwar, Sabarethinam, Davide Forcellini, & André R. Barbosa. (2025). Assessment of building recovery functions for local and global resilience assessment to tsunamis. 4(3). 132–145. 8 indexed citations
4.
Zheng, Gang, Wenbin Zhang, Davide Forcellini, Haizuo Zhou, & Jihui Zhao. (2024). Dynamic centrifuge modeling on the superstructure–pile system considering pile–pile cap connections in dry sandy soils. Soil Dynamics and Earthquake Engineering. 187. 108979–108979. 19 indexed citations
5.
Forcellini, Davide & Stergios-Aristoteles Mitoulis. (2024). Effect of deterioration on critical infrastructure resilience – framework and application on bridges. Results in Engineering. 25. 103834–103834. 36 indexed citations
6.
Forcellini, Davide. (2024). Quantification of the Seismic Resilience of Bridge Classes. Journal of Infrastructure Systems. 30(3). 21 indexed citations
7.
Forcellini, Davide. (2024). A resilience-based methodology to assess the degree of interdependency between infrastructure. Structure and Infrastructure Engineering. 22(3). 425–432. 4 indexed citations
8.
Zheng, Gang, Wenbin Zhang, Haizuo Zhou, et al.. (2024). 3D Numerical Modeling of the Inertial and Kinematic Interactions of Inclined Pile Groups in Liquefiable Soils. International Journal of Geomechanics. 24(8). 12 indexed citations
9.
Islam, Md. Rajibul, et al.. (2024). Seismic soil-structure interaction in nuclear power plants: An extensive review. Results in Engineering. 23. 102694–102694. 39 indexed citations
10.
Forcellini, Davide. (2024). Key Parameters to Model the Mutual Effects Between Base Isolation (BI) and Soil–Structure Interaction (SSI). Applied Sciences. 14(24). 11703–11703. 8 indexed citations
11.
Forcellini, Davide, et al.. (2024). A Novel Loss Model to Include the Disruption Phase in the Quantification of Resilience to Natural Hazards. Infrastructures. 9(3). 38–38. 1 indexed citations
12.
Forcellini, Davide. (2023). The role of Soil Structure Interaction (SSI) on the risk of pounding between low-rise buildings. Structures. 56. 105014–105014. 40 indexed citations
13.
Forcellini, Davide. (2023). A Theoretical Framework to Investigate Interdependency in the Assessment of Fire Resilience. Fire. 6(3). 127–127. 1 indexed citations
14.
Karampour, Hassan, et al.. (2023). Resilience of HP/HT pipelines to combined seismic and thermal loadings. Ocean Engineering. 275. 114098–114098. 11 indexed citations
15.
Alzabeebee, Saif, et al.. (2023). The Efficiency of the Benefits of Tire-Derived Aggregate Backfill for Buried Concrete Pipes Beneath Paved and Unpaved Roads. Infrastructures. 8(7). 107–107. 1 indexed citations
16.
Forcellini, Davide. (2023). Seismic resilience of bridges isolated with traditional and geotechnical seismic isolation (GSI). Bulletin of Earthquake Engineering. 21(7). 3521–3535. 41 indexed citations
17.
Forcellini, Davide, et al.. (2022). The Role of Soil Structure Interaction in the Fragility Assessment of HP/HT Unburied Subsea Pipelines. Journal of Marine Science and Engineering. 10(1). 110–110. 1 indexed citations
18.
Forcellini, Davide & Anthony Tessari. (2022). Numerical Assessment of the Loading Factors Affecting Liquefaction-Induced Failure. Geosciences. 12(3). 123–123. 2 indexed citations
19.
Pieraccini, Massimiliano, Michele Betti, Davide Forcellini, et al.. (2017). Radar detection of pedestrian-induced vibrations on Michelangelo's David. PLoS ONE. 12(4). e0174480–e0174480. 29 indexed citations
20.
Klinger, Marco, Fabio Caviggioli, Silvia Giannasi, et al.. (2013). Autologous Fat Graft in Scar Treatment. Journal of Craniofacial Surgery. 24(5). 1610–1615. 171 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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