V. Pericoli‐Ridolfini

1.4k total citations
32 papers, 530 citations indexed

About

V. Pericoli‐Ridolfini is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, V. Pericoli‐Ridolfini has authored 32 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nuclear and High Energy Physics, 17 papers in Materials Chemistry and 11 papers in Astronomy and Astrophysics. Recurrent topics in V. Pericoli‐Ridolfini's work include Magnetic confinement fusion research (30 papers), Fusion materials and technologies (17 papers) and Ionosphere and magnetosphere dynamics (11 papers). V. Pericoli‐Ridolfini is often cited by papers focused on Magnetic confinement fusion research (30 papers), Fusion materials and technologies (17 papers) and Ionosphere and magnetosphere dynamics (11 papers). V. Pericoli‐Ridolfini collaborates with scholars based in Italy, Germany and France. V. Pericoli‐Ridolfini's co-authors include R. Cesario, R. Bartiromo, R. Zagórski, F. Crisanti, M.L. Apicella, G. Mazzitelli, E. Joffrin, A.A. Tuccillo, O. Tudisco and L. Giannone and has published in prestigious journals such as Journal of Nuclear Materials, Physics of Plasmas and IEEE Transactions on Magnetics.

In The Last Decade

V. Pericoli‐Ridolfini

32 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Pericoli‐Ridolfini Italy 13 463 233 173 158 140 32 530
A. Manini Germany 12 607 1.3× 200 0.9× 300 1.7× 158 1.0× 187 1.3× 26 629
Hogun Jhang South Korea 14 672 1.5× 189 0.8× 357 2.1× 232 1.5× 173 1.2× 92 731
K. F. Mast Germany 10 413 0.9× 277 1.2× 74 0.4× 114 0.7× 119 0.8× 18 544
F. Imbeaux France 15 632 1.4× 305 1.3× 251 1.5× 190 1.2× 155 1.1× 60 677
F. Saint‐Laurent France 14 527 1.1× 228 1.0× 131 0.8× 143 0.9× 130 0.9× 30 585
J. L. Ségui France 19 744 1.6× 220 0.9× 388 2.2× 117 0.7× 182 1.3× 48 767
R. Akers United Kingdom 16 627 1.4× 202 0.9× 332 1.9× 126 0.8× 143 1.0× 27 656
P. Aleynikov Germany 10 576 1.2× 252 1.1× 227 1.3× 133 0.8× 148 1.1× 37 643
A. Géraud France 17 703 1.5× 421 1.8× 158 0.9× 186 1.2× 232 1.7× 39 745
M. Zabiégo France 10 503 1.1× 130 0.6× 302 1.7× 99 0.6× 205 1.5× 28 566

Countries citing papers authored by V. Pericoli‐Ridolfini

Since Specialization
Citations

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

Fields of papers citing papers by V. Pericoli‐Ridolfini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Pericoli‐Ridolfini. 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 V. Pericoli‐Ridolfini. The network helps show where V. Pericoli‐Ridolfini may publish in the future.

Co-authorship network of co-authors of V. Pericoli‐Ridolfini

This figure shows the co-authorship network connecting the top 25 collaborators of V. Pericoli‐Ridolfini. A scholar is included among the top collaborators of V. Pericoli‐Ridolfini 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 V. Pericoli‐Ridolfini. V. Pericoli‐Ridolfini 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.
Pericoli‐Ridolfini, V., P. Chmielewski, I. Ivanova‐Stanik, et al.. (2020). Comparison between liquid lithium and liquid tin targets in reactor relevant conditions for DEMO and I-DTT. Physics of Plasmas. 27(11). 112506–112506. 10 indexed citations
2.
Poradziński, M., et al.. (2020). Influence of Krypton Seeding on EU DEMO Operation with Lithium Divertor. Journal of Fusion Energy. 39(6). 469–476. 1 indexed citations
3.
Pericoli‐Ridolfini, V., R. Ambrosino, P. Chmielewski, et al.. (2019). Perspectives for the liquid lithium and tin targets in the Italian Divertor Test Tokamak (I-DTT) divertor. Nuclear Fusion. 59(12). 126008–126008. 13 indexed citations
4.
Subba, F., L. Aho-Mantila, R. Ambrosino, et al.. (2017). Preliminary analysis of the efficiency of non-standard divertor configurations in DEMO. Nuclear Materials and Energy. 12. 967–972. 7 indexed citations
5.
Pełka, G., P. Chmielewski, R. Zagórski, V. Pericoli‐Ridolfini, & B. Viola. (2016). TECXY Study of a Liquid Lithium Divertor for DEMO. Contributions to Plasma Physics. 56(6-8). 802–807. 5 indexed citations
6.
Subba, F., L. Aho-Mantila, R. Ambrosino, et al.. (2016). Efficiency of non-standard divertor configurations in DEMO. Max Planck Digital Library. 1 indexed citations
7.
Mazzitelli, G., M.L. Apicella, G. Apruzzese, et al.. (2014). Experiments on FTU with an actively water cooled liquid lithium limiter. Journal of Nuclear Materials. 463. 1152–1155. 32 indexed citations
8.
Cesario, R., L. Amicucci, G. Calabrò, et al.. (2009). Lower hybrid current drive at ITER-relevant high plasma densities. AIP conference proceedings. 419–422. 7 indexed citations
9.
Zagórski, R., et al.. (2006). Modelling with TECXY code of lithium limiter experiments on FTU. Czechoslovak Journal of Physics. 56(S2). B182–B184. 3 indexed citations
10.
Gormezano, C., A. Bécoulet, P. Buratti, et al.. (2004). Hybrid advanced scenarios: perspectives for ITER and new experiments with dominant RF heating. Plasma Physics and Controlled Fusion. 46(12B). B435–B447. 36 indexed citations
11.
Barbato, Emanuele, V. Pericoli‐Ridolfini, C. Castaldo, et al.. (2004). Chapter 3: Internal Transport Barrier Studies in the FTU. Fusion Science & Technology. 45(3). 323–338. 4 indexed citations
12.
Pericoli‐Ridolfini, V., A. Pietropaolo, R. Cesario, & F. Zonca. (1998). Density, temperature and potential fluctuations in the edge plasma of the FTU tokamak. Nuclear Fusion. 38(12). 1745–1755. 15 indexed citations
13.
Bartiromo, R., I. Condrea, R. De Angelis, et al.. (1995). Study of impurity retention in the scrape-off layer of the FTU tokamak. Nuclear Fusion. 35(10). 1161–1166. 4 indexed citations
14.
Pericoli‐Ridolfini, V., L. Giannone, & R. Bartiromo. (1994). Frequency spectral broadening of lower hybrid waves in tokamak plasmas-causes and effects. Nuclear Fusion. 34(4). 469–481. 26 indexed citations
15.
Pericoli‐Ridolfini, V., R. Bartiromo, A.A. Tuccillo, et al.. (1992). Effects of the spectral broadening of lower hybrid waves on current drive efficiency in the ASDEX tokamak. Nuclear Fusion. 32(2). 286–289. 9 indexed citations
16.
Pericoli‐Ridolfini, V.. (1991). Response of the scrape-off layer plasma in the Frascati Tokamak to lower hybrid heating. Nuclear Fusion. 31(2). 351–357. 6 indexed citations
17.
Leuterer, F., F. Söldner, K. McCormick, et al.. (1991). Efficiency of lower hybrid current drive at 2.45 GHz in ASDEX. Nuclear Fusion. 31(12). 2315–2331. 38 indexed citations
18.
Cesario, R. & V. Pericoli‐Ridolfini. (1987). Study of the parametric instabilities in the lower hybrid frequency range in the FT tokamak. Nuclear Fusion. 27(3). 435–445. 25 indexed citations
19.
Pericoli‐Ridolfini, V.. (1985). The scrape-off layer characteristics as a function of the plasma current and density in the FT Tokamak discharges. Plasma Physics and Controlled Fusion. 27(4). 493–499. 10 indexed citations
20.
Bruzzese, R., et al.. (1981). Effect of the thickness of aluminum layer on the transport properties of Nb<inf>3</inf>Al superconducting wires. IEEE Transactions on Magnetics. 17(1). 1000–1001. 10 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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