Andrea Bersano

546 total citations
35 papers, 334 citations indexed

About

Andrea Bersano is a scholar working on Aerospace Engineering, Materials Chemistry and Statistics, Probability and Uncertainty. According to data from OpenAlex, Andrea Bersano has authored 35 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Aerospace Engineering, 15 papers in Materials Chemistry and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Andrea Bersano's work include Nuclear Engineering Thermal-Hydraulics (25 papers), Nuclear reactor physics and engineering (22 papers) and Nuclear Materials and Properties (12 papers). Andrea Bersano is often cited by papers focused on Nuclear Engineering Thermal-Hydraulics (25 papers), Nuclear reactor physics and engineering (22 papers) and Nuclear Materials and Properties (12 papers). Andrea Bersano collaborates with scholars based in Italy, France and United States. Andrea Bersano's co-authors include Raffaella Testoni, Stefano Segantin, F. Mascari, Bruno Panella, Francesco Di Maio, Nicola Pedroni, Enrico Zio, M.T. Porfiri, Brian Woods and P. Méloni and has published in prestigious journals such as Reliability Engineering & System Safety, Nuclear Engineering and Design and Progress in Nuclear Energy.

In The Last Decade

Andrea Bersano

30 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Bersano Italy 10 188 124 79 57 35 35 334
Davor Grgić Croatia 8 293 1.6× 189 1.5× 50 0.6× 76 1.3× 55 1.6× 45 387
L. Oriani United States 6 217 1.2× 124 1.0× 46 0.6× 72 1.3× 48 1.4× 14 302
Zhangpeng Guo China 10 179 1.0× 109 0.9× 33 0.4× 141 2.5× 62 1.8× 44 359
Fatih Aydoğan United States 10 240 1.3× 101 0.8× 37 0.5× 86 1.5× 95 2.7× 37 352
Afshin Hedayat Iran 13 349 1.9× 205 1.7× 48 0.6× 56 1.0× 57 1.6× 28 428
Andrea Alfonsi United States 12 255 1.4× 187 1.5× 123 1.6× 18 0.3× 15 0.4× 45 401
L. Conway United States 9 269 1.4× 161 1.3× 37 0.5× 107 1.9× 73 2.1× 20 371
Jian Deng China 12 311 1.7× 142 1.1× 41 0.5× 167 2.9× 120 3.4× 43 457
Mohammadreza Nematollahi Iran 13 180 1.0× 99 0.8× 91 1.2× 115 2.0× 95 2.7× 48 436

Countries citing papers authored by Andrea Bersano

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Bersano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Bersano

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bersano. A scholar is included among the top collaborators of Andrea Bersano 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 Andrea Bersano. Andrea Bersano 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.
Giannetti, Fabio, et al.. (2025). Analyses of the MELCOR capability to simulate integral PWR using passive systems in a DBA scenario. Nuclear Engineering and Design. 437. 114004–114004.
2.
Bersano, Andrea, et al.. (2025). An empirical method for inverse uncertainty quantification in nuclear thermal–hydraulic codes. Nuclear Engineering and Design. 445. 114483–114483.
3.
Bersano, Andrea, et al.. (2024). Benchmark exercise on ELSMOR passive heat removal system. Nuclear Engineering and Design. 419. 112961–112961. 2 indexed citations
4.
Zhang, Jinzhao, Michel Havet, Junlin Zheng, et al.. (2024). Analyses of design extension conditions without significant fuel degradation for operating nuclear power plants: An OECD/NEA review. Nuclear Engineering and Design. 425. 113320–113320. 1 indexed citations
5.
Mascari, F., et al.. (2024). Scaling-up assessment of natural circulation phenomena in integral Small Modular Reactor by TRACE code. Nuclear Engineering and Design. 420. 113018–113018. 2 indexed citations
6.
7.
Maio, Francesco Di, et al.. (2022). Passive safety systems analysis: A novel approach for inverse uncertainty quantification based on Stacked Sparse Autoencoders and Kriging metamodeling. Progress in Nuclear Energy. 148. 104209–104209. 11 indexed citations
8.
Maio, P.A. Di, et al.. (2022). Cold Leg LBLOCA uncertainty analysis using TRACE/DAKOTA coupling. Journal of Physics Conference Series. 2177(1). 12023–12023. 3 indexed citations
9.
Pedroni, Nicola, et al.. (2021). Failure identification in a nuclear passive safety system by Monte Carlo simulation with adaptive Kriging. Nuclear Engineering and Design. 380. 111308–111308. 14 indexed citations
10.
Bersano, Andrea, et al.. (2021). Qualification of RELAP5-3D code condensation model against full-scale PERSEO Test 9. Progress in Nuclear Energy. 139. 103891–103891. 2 indexed citations
11.
Maio, Francesco Di, et al.. (2021). A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems. Nuclear Engineering and Design. 379. 111230–111230. 25 indexed citations
12.
Bersano, Andrea, et al.. (2021). Experimental analysis of the start-up of a natural circulation loop in single and two-phase flow. Nuclear Engineering and Design. 385. 111532–111532. 9 indexed citations
13.
Bersano, Andrea, et al.. (2021). Analysis of nodalization strategies to model a suppression tank for fusion plants with TRACE code. Fusion Engineering and Design. 169. 112626–112626.
14.
Testoni, Raffaella, Andrea Bersano, & Stefano Segantin. (2021). Review of nuclear microreactors: Status, potentialities and challenges. Progress in Nuclear Energy. 138. 103822–103822. 113 indexed citations
15.
Bersano, Andrea, et al.. (2020). Qualification of RELAP5-3D Code Against the In-pool Passive Energy Removal System PERSEO Data. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 1150–1157. 5 indexed citations
16.
Segantin, Stefano, et al.. (2020). Exploration of power conversion thermodynamic cycles for ARC fusion reactor. Fusion Engineering and Design. 155. 111645–111645. 14 indexed citations
17.
Bersano, Andrea, et al.. (2020). Evaluation of a potential reintroduction of nuclear energy in Italy to accelerate the energy transition. The Electricity Journal. 33(7). 106813–106813. 30 indexed citations
18.
Bersano, Andrea, et al.. (2020). Ingress of Coolant Event simulation with TRACE code with accuracy evaluation and coupled DAKOTA Uncertainty Analysis. Fusion Engineering and Design. 159. 111944–111944. 13 indexed citations
19.
Bersano, Andrea, et al.. (2019). Validation of RELAP5-3D thermal-hydraulic code against full-scale PERSEO Test 9. 2 indexed citations
20.
Bersano, Andrea, et al.. (2017). Characterization of water-air dispersed two phase flow. Energy Procedia. 126. 66–73. 2 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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