G. Barone

440 total citations
24 papers, 307 citations indexed

About

G. Barone is a scholar working on Aerospace Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, G. Barone has authored 24 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aerospace Engineering, 10 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in G. Barone's work include Nuclear reactor physics and engineering (18 papers), Nuclear Engineering Thermal-Hydraulics (13 papers) and Superconducting Materials and Applications (8 papers). G. Barone is often cited by papers focused on Nuclear reactor physics and engineering (18 papers), Nuclear Engineering Thermal-Hydraulics (13 papers) and Superconducting Materials and Applications (8 papers). G. Barone collaborates with scholars based in Italy, Spain and Germany. G. Barone's co-authors include Daniele Martelli, Nicola Forgione, I. Di Piazza, M. Tarantino, Pierdomenico Lorusso, Alessandro Del Nevo, Andrea Pucciarelli, Marco Utili, Ranieri Marinari and Fabio Giannetti and has published in prestigious journals such as IEEE Transactions on Plasma Science, Nuclear Engineering and Design and Annals of Nuclear Energy.

In The Last Decade

G. Barone

22 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Barone Italy 12 278 172 72 37 37 24 307
Alessio Pesetti Italy 12 292 1.1× 236 1.4× 36 0.5× 51 1.4× 50 1.4× 38 337
Aysenur Toptan United States 11 284 1.0× 280 1.6× 55 0.8× 72 1.9× 45 1.2× 20 381
P. Méloni Italy 9 223 0.8× 143 0.8× 28 0.4× 41 1.1× 28 0.8× 46 249
G. Bandini Italy 10 369 1.3× 297 1.7× 50 0.7× 54 1.5× 16 0.4× 39 414
G.L. Yoder United States 9 179 0.6× 138 0.8× 69 1.0× 94 2.5× 30 0.8× 40 279
M Frogheri Italy 10 337 1.2× 112 0.7× 81 1.1× 67 1.8× 20 0.5× 34 373
Francesco Saverio D'Auria Italy 12 477 1.7× 217 1.3× 97 1.3× 67 1.8× 37 1.0× 82 533
Ivor Clifford Switzerland 8 321 1.2× 269 1.6× 58 0.8× 27 0.7× 14 0.4× 41 381
April Novak United States 8 146 0.5× 115 0.7× 55 0.8× 16 0.4× 10 0.3× 22 188
M. Daubner Germany 8 242 0.9× 135 0.8× 148 2.1× 75 2.0× 32 0.9× 19 318

Countries citing papers authored by G. Barone

Since Specialization
Citations

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

Fields of papers citing papers by G. Barone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Barone

This figure shows the co-authorship network connecting the top 25 collaborators of G. Barone. A scholar is included among the top collaborators of G. Barone 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 G. Barone. G. Barone 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.
Rubino, G., G. Barone, L. Boncagni, et al.. (2024). Design Analysis of the DTT Wall Conditioning Systems. IEEE Transactions on Plasma Science. 52(9). 4043–4049. 1 indexed citations
2.
Barone, G., et al.. (2024). Structural Assessment of the DTT Cryostat Design. IEEE Transactions on Plasma Science. 52(9). 4120–4125.
3.
Martelli, Emanuela, G. Barone, F. Giorgetti, et al.. (2021). Design status of the Vacuum Vessel of DTT facility. Fusion Engineering and Design. 172. 112760–112760. 7 indexed citations
4.
Barone, G., Daniele Martelli, Andrea Pucciarelli, et al.. (2020). Simulation of operational conditions of HX-HERO in the CIRCE facility with CFD/STH coupled codes. Nuclear Engineering and Design. 361. 110552–110552. 18 indexed citations
5.
Barone, G., et al.. (2020). The DTT secondary cooling water systems. Fusion Engineering and Design. 158. 111712–111712.
6.
Barone, G., S. Roccella, Emanuela Martelli, & E. Visca. (2020). DTT Thermal Shield: Preliminary thermal analysis. Fusion Engineering and Design. 158. 111725–111725. 5 indexed citations
7.
Forgione, Nicola, Daniele Martelli, G. Barone, et al.. (2019). Post-test simulations for the NACIE-UP benchmark by STH codes. Nuclear Engineering and Design. 353. 110279–110279. 20 indexed citations
8.
Eboli, Marica, et al.. (2019). Development of a SIMMER\RELAP5 coupling tool. Fusion Engineering and Design. 146. 1993–1997. 13 indexed citations
9.
Forgione, Nicola, et al.. (2019). Application of RELAP5/Mod3.3 – Fluent coupling codes to CIRCE-HERO. Journal of Physics Conference Series. 1224(1). 12032–12032. 11 indexed citations
10.
Lorusso, Pierdomenico, Alessio Pesetti, G. Barone, et al.. (2019). MYRRHA primary heat exchanger experimental simulations on CIRCE-HERO. Nuclear Engineering and Design. 353. 110270–110270. 17 indexed citations
11.
Barone, G., Daniele Martelli, & Nicola Forgione. (2019). Implementation of Lead-Lithium as working fluid in RELAP5/Mod3.3. Fusion Engineering and Design. 146. 1308–1312. 15 indexed citations
12.
Forgione, Nicola, et al.. (2018). Blind Simulations of NACIE-UP Experimental Tests by STH Codes. CINECA IRIS Institutial research information system (University of Pisa). 5 indexed citations
13.
Martelli, Daniele, G. Barone, M. Tarantino, & Marco Utili. (2017). Design of a new experimental loop and of a coolant purifying system for corrosion experiments of EUROFER samples in flowing PbLi environment. Fusion Engineering and Design. 124. 1144–1149. 12 indexed citations
14.
Martelli, Daniele, Ranieri Marinari, G. Barone, I. Di Piazza, & M. Tarantino. (2017). CFD thermo-hydraulic analysis of the CIRCE fuel bundle. Annals of Nuclear Energy. 103. 294–305. 25 indexed citations
15.
Martelli, Daniele, et al.. (2017). STH-CFD Codes Coupled Calculations Applied to HLM Loop and Pool Systems. Science and Technology of Nuclear Installations. 2017. 1–13. 27 indexed citations
16.
Martelli, Daniele, Nicola Forgione, G. Barone, & I. Di Piazza. (2016). Coupled simulations of the NACIE facility using RELAP5 and ANSYS FLUENT codes. Annals of Nuclear Energy. 101. 408–418. 36 indexed citations
17.
Barone, G., Nicola Forgione, Daniele Martelli, et al.. (2015). Development of a model for the thermal-hydraulic characterization of the He-FUS3 loop. Fusion Engineering and Design. 96-97. 212–216. 8 indexed citations
18.
Martelli, Daniele, Nicola Forgione, G. Barone, et al.. (2014). Coupled Simulations of Natural and Forced Circulation Tests in NACIE Facility Using RELAP5 and ANSYS Fluent Codes. CINECA IRIS Institutial research information system (University of Pisa). 14 indexed citations
19.
Martelli, Daniele, Nicola Forgione, G. Barone, I. Di Piazza, & Alessandro Del Nevo. (2013). Coupled Simulation of the NACIE Facility using the RELAP5 Thermal System Code and the CFD Ansys FLUENT Code. CINECA IRIS Institutial research information system (University of Pisa). 1–15. 1 indexed citations
20.
Barone, G., Nicola Forgione, Daniele Martelli, & Alessandro Del Nevo. (2012). Pre-test analysis of thermal-hydraulic behaviour of the NACIE facility for the characterization of a fuel pin bundle. ENEA Open Archive (National Agency for New Technologies, Energy and Sustainable Economic Development). 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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