M. Siccinio

2.4k total citations
76 papers, 1.0k citations indexed

About

M. Siccinio is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, M. Siccinio has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Nuclear and High Energy Physics, 46 papers in Materials Chemistry and 34 papers in Aerospace Engineering. Recurrent topics in M. Siccinio's work include Magnetic confinement fusion research (65 papers), Fusion materials and technologies (44 papers) and Particle accelerators and beam dynamics (22 papers). M. Siccinio is often cited by papers focused on Magnetic confinement fusion research (65 papers), Fusion materials and technologies (44 papers) and Particle accelerators and beam dynamics (22 papers). M. Siccinio collaborates with scholars based in Germany, Italy and United Kingdom. M. Siccinio's co-authors include E. Fable, H. Zohm, E. Poli, G. Federici, F. Maviglia, R. Kembleton, A. G. Peeters, W. A. Hornsby, H. Lux and C. Angioni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Europhysics Letters (EPL) and Physics of Plasmas.

In The Last Decade

M. Siccinio

71 papers receiving 978 citations

Peers

M. Siccinio
Comparison fields: 5 of 44
  • Nuclear and High Energy Physics 875
  • Materials Chemistry 533
  • Aerospace Engineering 355
  • Astronomy and Astrophysics 278
  • Biomedical Engineering 262
Replace A.R. Polevoi with:
A.R. Polevoi France
N. Commaux United States
M. Faitsch Germany
D. Harting Germany
J. Li China
S. Ding China
B. Kurzan Germany
C. Lowry United Kingdom
C.J. Lasnier United States
O. Février Switzerland
A.R. Polevoi France View profile →
Citations per field, relative to M. Siccinio
M. Siccinio · 1×
Citations per year, relative to M. Siccinio
M. Siccinio · 1×

Countries citing papers authored by M. Siccinio

Since Specialization
Citations

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

Fields of papers citing papers by M. Siccinio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Siccinio

This figure shows the co-authorship network connecting the top 25 collaborators of M. Siccinio. A scholar is included among the top collaborators of M. Siccinio 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 M. Siccinio. M. Siccinio 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
# Work Indexed citations
1 0
2 3
3 0
4 1
5 1
6 1
7 5
8 9
9 4
10 11
11 2
12 6
13 3
14 5
15 6
16
DEMO control challenges
1
17 18
18
Modelling of shattered pellet ablation: a discussion
1
19
The next step in systems modelling: The integration of a simple 1D transport and equilibrium solver
4
20
A one-dimensional scrape-off layer model in the reactor systems code 'PROCESS'
1

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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