S. Migliori

819 total citations
43 papers, 277 citations indexed

About

S. Migliori is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, S. Migliori has authored 43 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nuclear and High Energy Physics, 17 papers in Aerospace Engineering and 12 papers in Materials Chemistry. Recurrent topics in S. Migliori's work include Magnetic confinement fusion research (22 papers), Particle accelerators and beam dynamics (11 papers) and Fusion materials and technologies (9 papers). S. Migliori is often cited by papers focused on Magnetic confinement fusion research (22 papers), Particle accelerators and beam dynamics (11 papers) and Fusion materials and technologies (9 papers). S. Migliori collaborates with scholars based in Italy, United States and France. S. Migliori's co-authors include Guido Guarnieri, A. Frattolillo, G. Bracco, F. Iannone, Giovanni Ponti, Piero Procacci, Filippo Palombi, Fiorenzo Ambrosino, S. K. Combs and Dante Abate and has published in prestigious journals such as SHILAP Revista de lepidopterología, Review of Scientific Instruments and Future Generation Computer Systems.

In The Last Decade

S. Migliori

35 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Migliori Italy 8 102 99 71 38 36 43 277
Fabio Pollastrone Italy 8 43 0.4× 62 0.6× 56 0.8× 61 1.6× 4 0.1× 33 192
D. H. Cámpora Pérez Switzerland 7 22 0.2× 47 0.5× 50 0.7× 28 0.7× 4 0.1× 32 229
Xiaofeng Han China 10 46 0.5× 149 1.5× 63 0.9× 26 0.7× 34 251
I. Zacharov Russia 7 27 0.3× 52 0.5× 12 0.2× 47 1.2× 3 0.1× 23 233
A. Puig Sitjes Germany 9 127 1.2× 216 2.2× 55 0.8× 31 0.8× 1 0.0× 35 275
Yuan Huang China 11 73 0.7× 292 2.9× 54 0.8× 66 1.7× 50 391
James I. Lathrop United States 12 100 1.0× 160 1.6× 60 0.8× 23 0.6× 33 501
Chanyoung Lee South Korea 9 54 0.5× 156 1.6× 53 0.7× 18 0.5× 24 196
A. Winter France 11 162 1.6× 321 3.2× 112 1.6× 57 1.5× 37 357
M.R. Kraimer United States 7 53 0.5× 71 0.7× 67 0.9× 102 2.7× 1 0.0× 27 271

Countries citing papers authored by S. Migliori

Since Specialization
Citations

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

Fields of papers citing papers by S. Migliori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Migliori

This figure shows the co-authorship network connecting the top 25 collaborators of S. Migliori. A scholar is included among the top collaborators of S. Migliori 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 S. Migliori. S. Migliori 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.
Mongelli, Marialuisa, et al.. (2022). Integrated Survey and 3D Processing on Enea CRESCO Platform: the Case Study of San Nicola in Carcere in Rome. Journal of Physics Conference Series. 2204(1). 12101–12101. 1 indexed citations
2.
Mongelli, Marialuisa, et al.. (2021). Comparison and integration of techniques for the study and valorisation of the Corsini Throne in Corsini Gallery in Roma. ACTA IMEKO. 10(1). 40–40. 1 indexed citations
3.
Frattolillo, A., L. R. Baylor, C. Day, et al.. (2020). Injection of high-speed solid D2 pellets using a “Direct-Line-of-Sight” (DLS) guide tube. Fusion Engineering and Design. 162. 112138–112138. 2 indexed citations
4.
Frattolillo, A., L. R. Baylor, F. Bombarda, et al.. (2019). Addressing the feasibility of inboard direct-line injection of high-speed pellets, for core fueling of DEMO. Fusion Engineering and Design. 146. 2426–2429. 4 indexed citations
5.
Iannone, F., Fiorenzo Ambrosino, G. Bracco, et al.. (2019). CRESCO ENEA HPC clusters: a working example of a multifabric GPFS Spectrum Scale layout. Florence Research (University of Florence). 1051–1052. 95 indexed citations
6.
Mongelli, Marialuisa, et al.. (2017). Structure from motion (SfM) technique in the Catacombs of Priscilla in rome: Improvements in the conservation, the safety and the fruition. IRIS Research product catalog (Sapienza University of Rome). 111–116. 1 indexed citations
7.
Migliori, S., et al.. (2017). A Staging Storage Sharing System For Data Handling In A Multisite Scientific Organization. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
8.
Frattolillo, A., F. Bombarda, C. Day, et al.. (2017). An innovative approach for DEMO core fuelling by inboard injection of high-speed pellets. Fusion Engineering and Design. 124. 846–849. 8 indexed citations
9.
Iannone, F., G. Bracco, Carlo Cavazzoni, et al.. (2017). MARCONI-FUSION: The new high performance computing facility for European nuclear fusion modelling. Fusion Engineering and Design. 129. 354–358. 22 indexed citations
10.
Meitner, S. J., L. R. Baylor, S. K. Combs, et al.. (2015). Selectable flight tube design developments for iter fueling, ELM pacing, and impurity pellets. ENEA Open Archive (National Agency for New Technologies, Energy and Sustainable Economic Development). 110. 1–6. 1 indexed citations
11.
Iannone, F., S. Podda, G. Bracco, et al.. (2012). Parallel file system performances in fusion data storage. Fusion Engineering and Design. 87(12). 2063–2067. 3 indexed citations
12.
Frattolillo, A., D. T. Fehling, S. L. Milora, et al.. (2011). Advances on the high speed ignitor Pellet Injector (IPI). 1–6. 2 indexed citations
13.
Cuomo, Salvatore, et al.. (2009). CUDA based implementation of parallelized Pollard’s Rho algorithm for ECDLP. 97–101.
14.
Migliori, S., et al.. (2008). Installation of the Ignitor Machine at the Caorso Site. Bulletin of the American Physical Society. 50. 79–79.
15.
Bracco, G., et al.. (2007). The Gateway approach providing EGEE/GLITE access to non-standard architectures. CERN Document Server (European Organization for Nuclear Research).
16.
Migliori, S., et al.. (2002). 3.3 km/s solid D/sub 2/ single pellet injector for the Frascati Tokamak Upgrade. 1. 721–723. 2 indexed citations
17.
Combs, S. K., L. R. Baylor, C. R. Foust, et al.. (2002). High-speed repetitive pellet injector for plasma fueling of magnetic confinement fusion devices. 1. 48–51. 4 indexed citations
18.
Frattolillo, A., et al.. (1999). Acceleration of large size deuterium pellets to high speeds using a small two-stage pneumatic gun. Review of Scientific Instruments. 70(5). 2355–2364. 3 indexed citations
19.
Frattolillo, A., S. Migliori, S. K. Combs, & S. L. Milora. (1997). Development of a Two-Stage Pneumatic Repeating Pellet Injector for the Refueling of Long-Pulse Magnetic Confinement Fusion Devices. Fusion Technology. 32(4). 601–609. 15 indexed citations
20.
Combs, S. K., et al.. (1996). Acceleration of neon pellets to high speeds for fusion applications. Review of Scientific Instruments. 67(3). 837–839. 5 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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