G. Mazzitelli

2.8k total citations · 1 hit paper
79 papers, 1.8k citations indexed

About

G. Mazzitelli is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, G. Mazzitelli has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nuclear and High Energy Physics, 33 papers in Materials Chemistry and 20 papers in Aerospace Engineering. Recurrent topics in G. Mazzitelli's work include Magnetic confinement fusion research (46 papers), Fusion materials and technologies (32 papers) and Superconducting Materials and Applications (14 papers). G. Mazzitelli is often cited by papers focused on Magnetic confinement fusion research (46 papers), Fusion materials and technologies (32 papers) and Superconducting Materials and Applications (14 papers). G. Mazzitelli collaborates with scholars based in Italy, Russia and United States. G. Mazzitelli's co-authors include P. Mazzotta, S. Colafrancesco, N. Vittorio, H. Knœpfel, M.L. Apicella, А.V. Vertkov, I.E. Lyublinski, V.B. Lazarev, R. Zagórski and V. Pericoli Ridolfini and has published in prestigious journals such as Applied Surface Science, Review of Scientific Instruments and IEEE Transactions on Control Systems Technology.

In The Last Decade

G. Mazzitelli

72 papers receiving 1.7k citations

Hit Papers

Ionization balance for optically thin plasmas: Rate coeff... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Mazzitelli Italy 19 764 654 648 321 288 79 1.8k
A. J. H. Donné Netherlands 24 1.3k 1.7× 510 0.8× 609 0.9× 365 1.1× 269 0.9× 86 1.8k
B. Stratton United States 21 1.1k 1.4× 463 0.7× 485 0.7× 189 0.6× 201 0.7× 87 1.4k
G. A. Wurden United States 27 1.8k 2.4× 534 0.8× 884 1.4× 344 1.1× 353 1.2× 152 2.2k
R. L. Boivin United States 18 968 1.3× 422 0.6× 413 0.6× 221 0.7× 179 0.6× 64 1.3k
B. Geiger Germany 26 1.7k 2.3× 478 0.7× 862 1.3× 445 1.4× 289 1.0× 102 1.9k
A. L. Roquemore United States 26 1.8k 2.4× 942 1.4× 599 0.9× 382 1.2× 347 1.2× 125 2.1k
S. Sudo Japan 23 1.3k 1.7× 396 0.6× 490 0.8× 305 1.0× 541 1.9× 153 1.7k
H. S. McLean United States 22 1.5k 2.0× 369 0.6× 493 0.8× 212 0.7× 415 1.4× 107 1.7k
D. Stutman United States 25 1.6k 2.1× 490 0.7× 652 1.0× 219 0.7× 266 0.9× 147 2.0k
D. D. Ryutov United States 23 1.4k 1.9× 351 0.5× 846 1.3× 235 0.7× 389 1.4× 108 1.9k

Countries citing papers authored by G. Mazzitelli

Since Specialization
Citations

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

Fields of papers citing papers by G. Mazzitelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Mazzitelli. A scholar is included among the top collaborators of G. Mazzitelli 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. Mazzitelli. G. Mazzitelli 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.
Ponkratov, Yuriy, Н. Н. Никитенков, I. Tazhibayeva, et al.. (2019). Methodology of the Experiments to Study Lithium CPS Interaction with Deuterium Under Conditions of Reactor Irradiation. Eurasian Chemico-Technological Journal. 21(2). 107–113. 8 indexed citations
3.
Apruzzese, G., M.L. Apicella, М. Иафрати, et al.. (2018). First Spectroscopic Results with Tin Limiter on FTU Plasma. Plasma Physics Reports. 44(7). 636–640. 3 indexed citations
4.
Crisanti, F., R. Martone, G. Mazzitelli, & A. Pizzuto. (2017). The DTT device: Guidelines of the operating program. Fusion Engineering and Design. 122. 382–386. 5 indexed citations
5.
Apruzzese, G., M.L. Apicella, G. Maddaluno, G. Mazzitelli, & B. Viola. (2016). Spectroscopic measurements of lithium influx from an actively water-cooled liquid lithium limiter on FTU. Fusion Engineering and Design. 117. 145–149. 8 indexed citations
6.
Bedogni, R., D. Bortot, B. Buonomo, et al.. (2015). A SINGLE-EXPOSURE, MULTIDETECTOR NEUTRON SPECTROMETER FOR WORKPLACE MONITORING. Radiation Protection Dosimetry. 170(1-4). 326–330. 11 indexed citations
7.
Astolfi, Alessandro, L. Boncagni, D. Carnevale, et al.. (2014). Adaptive hybrid observer of the plasma horizontal position at FTU. Cineca Institutional Research Information System (Tor Vergata University). 1088–1093. 2 indexed citations
8.
Krambrich, D., W. Lauth, B. Buonomo, et al.. (2011). Future aspects of X-ray emission from crystal undulators at channeling of positrons. 4 indexed citations
9.
Romanelli, F., G. Szepesi, A. G. Peeters, et al.. (2011). Linear microstability analysis of a low-Z impurity doped tokamak plasma. Nuclear Fusion. 51(10). 103008–103008. 3 indexed citations
10.
Mazzitelli, G., M.L. Apicella, V. Pericoli Ridolfini, et al.. (2010). Review of FTU results with the liquid lithium limiter. Fusion Engineering and Design. 85(6). 896–901. 45 indexed citations
11.
Vagliasindi, G., Paolo Arena, Luigi Fortuna, et al.. (2008). An Automatic Identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees. The European Symposium on Artificial Neural Networks. 517–522. 1 indexed citations
12.
Vagliasindi, G., A. Murari, P. Arena, Luigi Fortuna, & G. Mazzitelli. (2007). Application of Cellular Neural Network Methods to Real Time Image Analysis in Plasma Fusion. 1–6. 3 indexed citations
13.
Mazzitelli, G.. (2006). FTU experimental results using a lithium liquid limiter. Bulletin of the American Physical Society. 48. 5 indexed citations
14.
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
15.
Violante, V., G. Mazzitelli, F. Sarto, et al.. (2005). STUDY OF LATTICE POTENTIALS ON LOW-ENERGY NUCLEAR PROCESSES IN CONDENSED MATTER. 667–680.
16.
Arena, Paolo, et al.. (2004). CNN-based real-time video detection of plasma instability in nuclear fusion applications. III–77. 1 indexed citations
17.
Pirro, G. Di, A. Stecchi, I. Sfiligoi, & G. Mazzitelli. (2001). The Evolution of the DAPHNE control system: A History of liberation from hardware. 222. 1 indexed citations
18.
May, M. J., M. Finkenthal, H. W. Moos, et al.. (2001). Observations of the vacuum ultraviolet and x-ray brightness profiles of Fe, Ni, and Ge in magnetically confined fusion plasmas. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(3). 36406–36406. 9 indexed citations
19.
Mazzitelli, G. & A. Stecchi. (2000). DATA HANDLING TOOLS AT DAΦ NE. 1 indexed citations
20.
Mazzotta, P., G. Mazzitelli, S. Colafrancesco, & N. Vittorio. (1998). Ionization balance for optically thin plasmas: Rate coefficients for all atoms and ions of the elements H to Ni. Springer Link (Chiba Institute of Technology). 638 indexed citations breakdown →

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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