Francesco De Bona

1.0k total citations · 1 hit paper
73 papers, 818 citations indexed

About

Francesco De Bona is a scholar working on Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco De Bona has authored 73 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanical Engineering, 38 papers in Mechanics of Materials and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco De Bona's work include High Temperature Alloys and Creep (17 papers), Metallurgy and Material Forming (13 papers) and Fatigue and fracture mechanics (10 papers). Francesco De Bona is often cited by papers focused on High Temperature Alloys and Creep (17 papers), Metallurgy and Material Forming (13 papers) and Fatigue and fracture mechanics (10 papers). Francesco De Bona collaborates with scholars based in Italy, Croatia and Austria. Francesco De Bona's co-authors include Saša Zelenika, Denis Benasciutti, Mircea Munteanu, Enrico Salvati, Luca Laurenti, Aurelio Somà, Lorenzo Moro, Antônio Gugliotta, Aleksandar Stanojević and Alex Lanzutti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Journal of Sound and Vibration.

In The Last Decade

Francesco De Bona

68 papers receiving 786 citations

Hit Papers

A defect-based physics-informed machine learning framewor... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco De Bona Italy 16 445 298 183 145 136 73 818
Nilesh D. Mankame United States 14 534 1.2× 156 0.5× 279 1.5× 146 1.0× 430 3.2× 32 1.0k
Haitao Xu China 16 300 0.7× 183 0.6× 71 0.4× 161 1.1× 146 1.1× 60 823
Elena Bozhevolnaya Denmark 19 392 0.9× 549 1.8× 86 0.5× 91 0.6× 339 2.5× 48 827
Wu Zhou China 15 164 0.4× 243 0.8× 96 0.5× 331 2.3× 151 1.1× 79 712
Kuanmin Mao China 14 496 1.1× 203 0.7× 140 0.8× 112 0.8× 394 2.9× 49 959
Rani W. Sullivan United States 13 235 0.5× 559 1.9× 154 0.8× 124 0.9× 381 2.8× 70 854
Vinayak Ranjan India 14 259 0.6× 371 1.2× 99 0.5× 60 0.4× 144 1.1× 68 579
Junguo Xu Japan 18 720 1.6× 890 3.0× 167 0.9× 102 0.7× 27 0.2× 90 1.2k
James M. Pitarresi United States 17 260 0.6× 331 1.1× 158 0.9× 670 4.6× 138 1.0× 55 872
Xiqun Lu China 19 843 1.9× 438 1.5× 68 0.4× 48 0.3× 49 0.4× 75 1.1k

Countries citing papers authored by Francesco De Bona

Since Specialization
Citations

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

Fields of papers citing papers by Francesco De Bona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco De Bona. 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 Francesco De Bona. The network helps show where Francesco De Bona may publish in the future.

Co-authorship network of co-authors of Francesco De Bona

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco De Bona. A scholar is included among the top collaborators of Francesco De Bona 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 Francesco De Bona. Francesco De Bona 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
2.
Bona, Francesco De, et al.. (2024). Optimization of functionally graded materials to make stress concentration vanish in a plate with circular hole. Composites Part C Open Access. 15. 100512–100512. 1 indexed citations
3.
Bona, Francesco De, et al.. (2024). Material Modeling in Multiphysics Simulation. Metals. 14(3). 296–296. 1 indexed citations
4.
Casagrande, Daniele, et al.. (2023). Analysis of Stress Concentration in Functionally Graded Plates with Linearly Increasing Young’s Modulus. Materials. 16(21). 6882–6882. 7 indexed citations
5.
Benasciutti, Denis, et al.. (2023). Strain‐controlled fatigue loading of an additively manufactured AISI 316L steel: Cyclic plasticity model and strain–life curve with a comparison to the wrought material. Fatigue & Fracture of Engineering Materials & Structures. 46(6). 2195–2211. 5 indexed citations
6.
Bacchetti, Stefano, et al.. (2023). Experimental and Numerical Investigation of Hot Extruded Inconel 718. Metals. 13(6). 1129–1129. 1 indexed citations
7.
Casagrande, Daniele, et al.. (2021). An optimized pressure vessel obtained by metal additive manufacturing: Preliminary results. International Journal of Pressure Vessels and Piping. 192. 104434–104434. 9 indexed citations
8.
Casagrande, Daniele, et al.. (2020). A Dynamic Programming Setting for Functionally Graded Thick-Walled Cylinders. Materials. 13(18). 3988–3988. 14 indexed citations
9.
Bona, Francesco De, et al.. (2019). Turbine Blade Distortion after Heat Treatment: Preliminary Experimental Investigation and FEM Analysis. Key engineering materials. 827. 98–103. 1 indexed citations
10.
Casagrande, Daniele, et al.. (2019). Thin-walled pressure vessels of minimum mass or maximum volume. Structural and Multidisciplinary Optimization. 61(1). 111–121. 5 indexed citations
11.
Boscariol, Paolo, et al.. (2017). Innovative Design of Fire Doors: Computational Modeling and Experimental Validation. Fire Technology. 53(5). 1833–1846. 11 indexed citations
12.
Benasciutti, Denis, et al.. (2015). Thermo-Mechanical Finite Element Simulation and Fatigue Life Assessment of a Copper Mould for Continuous Casting of Steel. Procedia Engineering. 133. 688–697. 23 indexed citations
13.
Zelenika, Saša & Francesco De Bona. (2006). DESIGN OF MICROSYSTEMS BASED ON COMPLIANT STRUCTURES AND DEVICES. 1033–1040.
14.
Bona, Francesco De & Eniko T. Enikov. (2006). Microsystems Mechanical Design. Institutional Research Information System (University of Udine). 11 indexed citations
15.
Bona, Francesco De, et al.. (2003). Large deflections of microbeams under electrostatic loads. Journal of Micromechanics and Microengineering. 14(3). 365–373. 37 indexed citations
16.
Somà, Aurelio, et al.. (2001). <title>Meshing approach in nonlinear FEM analysis of microstructures under electrostatic loads</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4408. 216–225. 8 indexed citations
17.
Cudin, Ivan, et al.. (2001). Heat load problems in deep X-ray lithography. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 467-468. 1265–1268. 3 indexed citations
18.
Bona, Francesco De & Saša Zelenika. (1997). A generalized elastica-type approach to the analysis of large displacements of spring-strips. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 211(7). 509–517. 36 indexed citations
19.
Mezzetti, E., Francesco De Bona, Stefano Colombo, et al.. (1994). Pinning phenomena and critical currents in proton irradiated sintered YBCO. PORTO Publications Open Repository TOrino (Politecnico di Torino). 299.
20.
Bona, Francesco De & Giovanni Jacazio. (1988). Simulation of mechanical drives with generalized power losses. Mathematical and Computer Modelling. 11. 1178–1182. 4 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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