Massimo Roccella

805 citations
56 papers · 702 · h-index 13

Impact in

Papers in

Massimo Roccella

51 papers receiving 660 citations

Peers

Massimo Roccella
Comparison fields: 5 of 26
  • Nuclear and High Energy Physics 433
  • Materials Chemistry 354
  • Biomedical Engineering 123
  • Aerospace Engineering 72
  • Statistical and Nonlinear Physics 10
Replace C. Morlock with:
C. Morlock United Kingdom
A. Vaccaro Germany
J. Ohmori Japan
Alexey N. Labusov Russia
C. P. Kasten United States
A. Mancini Italy
E.E. Reis United States
Timothy R. Palmer United States
Alain Saille France
Y. X. Wan China
Massimo Roccella relative to C. Morlock United Kingdom C. Morlock's profile →
Citations per field
00.5×1.7×
C. Morlock · 1×
Citations per year

Countries citing papers authored by Massimo Roccella

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Roccella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Roccella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Roccella Line = papers co-authored together Massimo Roccella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007203
2 200966
3 201259
4 201141
5 201626
6 200825
7 200824
8 200123
9 200819
10 201819
11 200518
12 200916
13 201814
14 202013
15 202112
16 201211
17 200710
18 20208
19 19977
20 20047

About Massimo Roccella

Massimo Roccella is a scholar working on Nuclear and High Energy Physics, Materials Chemistry, Biomedical Engineering, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 56 papers that have together received 702 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (45 papers), Fusion materials and technologies (34 papers), Superconducting Materials and Applications (23 papers), Particle accelerators and beam dynamics (3 papers), Pulsed Power Technology Applications (2 papers), Fusion and Plasma Physics Studies (2 papers) and Laser-Plasma Interactions and Diagnostics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (433 citations), Materials Chemistry (354 citations), Biomedical Engineering (123 citations), Aerospace Engineering (72 citations) and Statistical and Nonlinear Physics (10 citations). Massimo Roccella has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Flavio Lucca, Riccardo Roccella, A. Li Puma, M.Q. Tran, P. Norajitra, David J. Ward, Ian M. Cook, David Maisonnier, L. Giancarli and L. Di Pace. Their work appears in journals such as Fusion Engineering and Design, Nuclear Fusion, Fusion Science & Technology, Elsevier eBooks and IEEE/NPSS Symposium on Fusion Engineering.

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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