Marco Belloli

3.1k total citations
143 papers, 2.0k citations indexed

About

Marco Belloli is a scholar working on Computational Mechanics, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Marco Belloli has authored 143 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computational Mechanics, 70 papers in Aerospace Engineering and 46 papers in Ocean Engineering. Recurrent topics in Marco Belloli's work include Fluid Dynamics and Vibration Analysis (78 papers), Wind Energy Research and Development (48 papers) and Wind and Air Flow Studies (41 papers). Marco Belloli is often cited by papers focused on Fluid Dynamics and Vibration Analysis (78 papers), Wind Energy Research and Development (48 papers) and Wind and Air Flow Studies (41 papers). Marco Belloli collaborates with scholars based in Italy, Netherlands and Denmark. Marco Belloli's co-authors include Ilmas Bayati, Alberto Zasso, Daniele Rocchi, Giorgio Diana, Sara Muggiasca, S. Giappino, Alessandro Fontanella, Luca Bernini, Ferruccio Resta and Alan Facchinetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and IEEE Journal of Solid-State Circuits.

In The Last Decade

Marco Belloli

136 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
Marco Belloli Italy 27 1.3k 1.2k 798 668 423 143 2.0k
Alberto Zasso Italy 25 1.1k 0.9× 847 0.7× 870 1.1× 324 0.5× 347 0.8× 108 1.7k
Martin Otto Lavér Hansen Denmark 26 1.4k 1.1× 2.3k 1.9× 1.1k 1.4× 331 0.5× 328 0.8× 73 2.7k
Mac Gaunaa Denmark 23 1.1k 0.9× 1.8k 1.5× 841 1.1× 206 0.3× 342 0.8× 115 2.2k
Christian Bak Denmark 26 1.2k 0.9× 2.3k 1.9× 1.1k 1.4× 248 0.4× 308 0.7× 123 2.7k
Spyros G. Voutsinas Greece 23 1.2k 1.0× 1.6k 1.3× 792 1.0× 203 0.3× 264 0.6× 90 2.0k
Chun Li China 28 837 0.7× 1.0k 0.8× 393 0.5× 593 0.9× 639 1.5× 78 2.1k
Frederik Zahle Denmark 26 1.3k 1.0× 1.7k 1.4× 1.0k 1.3× 197 0.3× 204 0.5× 96 2.1k
Torben J. Larsen Denmark 24 1.3k 1.0× 2.2k 1.8× 1.2k 1.4× 644 1.0× 537 1.3× 121 2.9k
Erin E. Bachynski Norway 27 1.2k 1.0× 1.1k 0.9× 240 0.3× 1.5k 2.3× 400 0.9× 119 2.2k
Matthew A. Lackner United States 33 1.6k 1.3× 1.8k 1.5× 767 1.0× 1.2k 1.8× 682 1.6× 84 3.4k

Countries citing papers authored by Marco Belloli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Belloli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Belloli

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Belloli. A scholar is included among the top collaborators of Marco Belloli 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 Marco Belloli. Marco Belloli 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.
Benedetti, Lorenzo, et al.. (2025). Wireless Accelerometer Architecture for Bridge SHM: From Sensor Design to System Deployment. Future Internet. 17(1). 29–29. 13 indexed citations
2.
Benedetti, Lorenzo, et al.. (2025). Data normalization for the continuous monitoring of a steel truss bridge: A case study from the Italian railway line. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4(3). 100171–100171.
3.
Benedetti, Lorenzo, et al.. (2025). On the performance of data-driven dynamic models for temperature compensation on bridge monitoring data. Journal of Civil Structural Health Monitoring. 15(6). 1957–1972. 7 indexed citations
4.
Benedetti, Lorenzo, et al.. (2025). Automated Operational Modal Analysis of a steel truss railway bridge employing free decay response. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4(1). 100145–100145. 5 indexed citations
5.
6.
Benedetti, Lorenzo, et al.. (2024). Evaluation of a permanent SHM system performance in detecting damage scenarios considering runnability thresholds. e-Journal of Nondestructive Testing. 29(7).
7.
Tavernier, Delphine De, et al.. (2024). Force-partitioning analysis of vortex-induced vibrations of wind turbine tower sections. Wind energy science. 9(10). 1967–1983. 1 indexed citations
8.
Argentini, Tommaso, et al.. (2024). A framework for fatigue damage estimate in single-axis solar trackers. Journal of Physics Conference Series. 2647(24). 242010–242010. 1 indexed citations
9.
Benedetti, Lorenzo, et al.. (2024). A three-year project on Structural Health Monitoring of railway bridges: main results and lessons learnt. e-Journal of Nondestructive Testing. 29(7). 3 indexed citations
10.
Cinquemani, Simone, et al.. (2023). A Deep Learning Approach to Detect Failures in Bridges Based on the Coherence of Signals. Future Internet. 15(4). 119–119. 14 indexed citations
11.
Muggiasca, Sara, et al.. (2023). A Techno-Economic Analysis of a Cargo Ship Using Flettner Rotors. Journal of Marine Science and Engineering. 11(1). 229–229. 7 indexed citations
12.
Benedetti, Lorenzo, et al.. (2023). DESIGN AND APPLICATION OF A STATISTICAL LEARNING METHODOLOGY TO REMOVE TEMPERATURE EFFECT ON STATIC SIGNALS FOR BRIDGE STRUCTURAL HEALTH MONITORING. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1 indexed citations
13.
Benedetti, Lorenzo, et al.. (2023). Overcoming strain gauges limitation in the estimation of train load passing on a bridge through deep learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 14–14. 3 indexed citations
14.
Mauri, Marco, et al.. (2023). Development and Field Validation of Wireless Sensors for Railway Bridge Modal Identification. Applied Sciences. 13(6). 3620–3620. 14 indexed citations
15.
Fontanella, Alessandro, et al.. (2023). Integrated Design and Experimental Validation of a Fixed-Pitch Rotor for Wind Tunnel Testing. Energies. 16(5). 2205–2205. 4 indexed citations
16.
Fontanella, Alessandro, et al.. (2023). Controller design for model-scale rotors and validation using prescribed motion. Wind energy science. 8(9). 1351–1368. 2 indexed citations
17.
Muggiasca, Sara, et al.. (2023). A large-scale wind turbine model installed on a floating structure: experimental validation of the numerical design. Wind energy science. 8(1). 71–84. 1 indexed citations
18.
Fontanella, Alessandro, Ilmas Bayati, Robert Mikkelsen, Marco Belloli, & Alberto Zasso. (2021). UNAFLOW: a holistic wind tunnel experiment about the aerodynamic response of floating wind turbines under imposed surge motion. Wind energy science. 6(5). 1169–1190. 48 indexed citations
19.
Belloli, Marco, et al.. (2011). FRC erection stages dynamic behaviour under wind loads. QUT ePrints (Queensland University of Technology). 1 indexed citations
20.
Belloli, Marco, Giorgio Diana, Ferruccio Resta, & Sara Muggiasca. (2006). A Numerical Model to Reproduce Vortex Induced Vibrations of a Circular Cylinder. 929–937. 3 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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