Francesco Porcelli

5.4k total citations
120 papers, 3.2k citations indexed

About

Francesco Porcelli is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Porcelli has authored 120 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Nuclear and High Energy Physics, 73 papers in Astronomy and Astrophysics and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Porcelli's work include Magnetic confinement fusion research (97 papers), Ionosphere and magnetosphere dynamics (71 papers) and Solar and Space Plasma Dynamics (37 papers). Francesco Porcelli is often cited by papers focused on Magnetic confinement fusion research (97 papers), Ionosphere and magnetosphere dynamics (71 papers) and Solar and Space Plasma Dynamics (37 papers). Francesco Porcelli collaborates with scholars based in Italy, United States and United Kingdom. Francesco Porcelli's co-authors include B. Coppi, Ф. Пегораро, M. Ottaviani, D. Grasso, M. N. Rosenbluth, D. Boucher, S. Migliuolo, F. Califano, F. Militello and H. L. Berk and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Francesco Porcelli

115 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Porcelli Italy 31 2.9k 2.3k 489 358 325 120 3.2k
Masahiro Wakatani Japan 27 2.9k 1.0× 2.3k 1.0× 418 0.9× 371 1.0× 200 0.6× 163 3.1k
C. C. Hegna United States 34 3.3k 1.1× 2.7k 1.2× 431 0.9× 480 1.3× 299 0.9× 159 3.6k
S. Inagaki Japan 25 2.5k 0.9× 1.7k 0.8× 507 1.0× 341 1.0× 277 0.9× 294 2.8k
D. A. Spong United States 30 3.0k 1.0× 2.0k 0.9× 619 1.3× 622 1.7× 306 0.9× 185 3.1k
D. L. Brower United States 31 2.8k 0.9× 1.9k 0.8× 473 1.0× 350 1.0× 340 1.0× 171 3.0k
Peter J. Catto United States 35 3.8k 1.3× 2.8k 1.2× 798 1.6× 505 1.4× 558 1.7× 231 4.1k
M. Podestá United States 31 2.7k 0.9× 1.9k 0.8× 537 1.1× 539 1.5× 200 0.6× 159 2.9k
Y. Kishimoto Japan 31 2.7k 0.9× 1.7k 0.7× 364 0.7× 290 0.8× 799 2.5× 210 3.1k
J. P. Freidberg United States 29 2.7k 0.9× 1.8k 0.8× 441 0.9× 472 1.3× 507 1.6× 92 3.3k
A. Fukuyama Japan 28 2.5k 0.8× 1.6k 0.7× 567 1.2× 502 1.4× 228 0.7× 227 2.7k

Countries citing papers authored by Francesco Porcelli

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Porcelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Porcelli

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Porcelli. A scholar is included among the top collaborators of Francesco Porcelli 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 Porcelli. Francesco Porcelli 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.
Mattioli, Giuseppe, Francesco Porcelli, Riccardo Ruffο, et al.. (2025). Hitchhiker’s Guide to the Preparation of Novel Benzimidazoline-Based n-Type Dopants. Chemistry of Materials. 37(19). 7823–7833.
2.
Kim, Charlson C., Francesco Porcelli, D. Banerjee, et al.. (2024). Simulations of vertical displacement oscillatory modes and global Alfvén Eigenmodes in JET geometry. Nuclear Fusion. 64(12). 126064–126064.
3.
Porcelli, Francesco, et al.. (2024). Velocity-space distribution function of fast ions in a sawtoothing plasma. Plasma Physics and Controlled Fusion. 66(7). 75007–75007. 1 indexed citations
4.
Banerjee, D., et al.. (2024). Linear NIMROD simulations of n= 0 modes for straight tokamak configuration and comparison with analytic results. Physics of Plasmas. 31(2). 2 indexed citations
5.
Porcelli, Francesco, et al.. (2023). Axisymmetric oscillatory modes in cylindrical magnetized plasma bounded by a conducting wall. Physics Letters A. 479. 128940–128940. 1 indexed citations
6.
Porcelli, Francesco, et al.. (2021). Resonant Axisymmetric Modes. Journal of Physics Conference Series. 1785(1). 12004–12004. 8 indexed citations
7.
Hao, Guangzhou, Huimin He, Matthew Hole, et al.. (2020). Fishbone instability driven by trapped fast ions in a toroidal plasma with reversed magnetic shear. Nuclear Fusion. 60(9). 96022–96022. 2 indexed citations
8.
Porcelli, Francesco, Luigi Sambuelli, Cesare Comina, et al.. (2020). Integrated Geophysics and Geomatics Surveys in the Valley of the Kings. Sensors. 20(6). 1552–1552. 16 indexed citations
9.
Fischanger, Federico, Gianluca Catanzariti, Cesare Comina, et al.. (2018). Geophysical anomalies detected by electrical resistivity tomography in the area surrounding Tutankhamun's tomb. Journal of Cultural Heritage. 36. 63–71. 26 indexed citations
10.
Grasso, D., R. J. Hastie, Francesco Porcelli, & Claudio Tebaldi. (2008). Critical Delta' for Stability of Visco-Resistive Tearing Modes. PORTO Publications Open Repository TOrino (Politecnico di Torino).
11.
Ottaviani, M., D. F. Escande, D. Grasso, et al.. (2004). Progress in the theory of magnetic reconnection phenomena. Plasma Physics and Controlled Fusion. 46(12B). B201–B212. 15 indexed citations
12.
Fitzpatrick, Richard & Francesco Porcelli. (2004). Collisionless magnetic reconnection with arbitrary guide field. Physics of Plasmas. 11(10). 4713–4718. 50 indexed citations
13.
Hastie, R. J., J. J. Ramos, & Francesco Porcelli. (2002). Dissipative drift ballooning instabilities in tokamak plasmas. The Journal of Physiology. 460. 675–91. 1 indexed citations
14.
Grasso, D., F. Califano, Ф. Пегораро, & Francesco Porcelli. (2001). Phase Mixing and Island Saturation in Hamiltonian Reconnection. Physical Review Letters. 86(22). 5051–5054. 82 indexed citations
15.
Porcelli, Francesco, et al.. (1999). Plasma-wall boundary layers. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(4). 4733–4742. 4 indexed citations
16.
Candy, J., H. L. Berk, B. N. Breǐzman, & Francesco Porcelli. (1999). Nonlinear modeling of kinetic plasma instabilities. Physics of Plasmas. 6(5). 1822–1829. 33 indexed citations
17.
Pochelon, A. & Francesco Porcelli. (1998). Effect of localised electron cyclotron heating on energy confinement and MHD in TCV. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1170. 1 indexed citations
18.
Porcelli, Francesco, et al.. (1997). Nonlinear dynamics of the fishbone. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
19.
Porcelli, Francesco. (1996). Comments on X-point dynamics and ELMs. OpenGrey (Institut de l'Information Scientifique et Technique). 1 indexed citations
20.
Putvinski, S. & Francesco Porcelli. (1995). Alpha particle physics for ITER. PORTO Publications Open Repository TOrino (Politecnico di Torino). 2. 535–541. 1 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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