M. Giacomin

599 total citations
19 papers, 263 citations indexed

About

M. Giacomin is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, M. Giacomin has authored 19 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 7 papers in Materials Chemistry. Recurrent topics in M. Giacomin's work include Magnetic confinement fusion research (16 papers), Ionosphere and magnetosphere dynamics (7 papers) and Fusion materials and technologies (7 papers). M. Giacomin is often cited by papers focused on Magnetic confinement fusion research (16 papers), Ionosphere and magnetosphere dynamics (7 papers) and Fusion materials and technologies (7 papers). M. Giacomin collaborates with scholars based in Switzerland, United Kingdom and Italy. M. Giacomin's co-authors include Paolo Ricci, B. Patel, David Dickinson, C.M. Roach, Daniel Kennedy, Raphael Ritz, U. Fantz, D. Wünderlich, D. Mancini and A. Pau and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and Review of Scientific Instruments.

In The Last Decade

M. Giacomin

19 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Giacomin Switzerland 12 234 109 81 58 48 19 263
Y. X. Jie China 9 210 0.9× 106 1.0× 48 0.6× 45 0.8× 49 1.0× 34 241
F. Sciortino United States 11 262 1.1× 136 1.2× 127 1.6× 74 1.3× 50 1.0× 24 292
Y. Yang China 11 279 1.2× 130 1.2× 86 1.1× 71 1.2× 72 1.5× 23 311
Y. Andrèbe Switzerland 12 255 1.1× 87 0.8× 113 1.4× 58 1.0× 57 1.2× 26 298
H. Lian China 8 213 0.9× 92 0.8× 58 0.7× 69 1.2× 53 1.1× 35 231
Y. U. Nam South Korea 11 189 0.8× 70 0.6× 64 0.8× 54 0.9× 51 1.1× 21 215
S. L. Newton United Kingdom 10 251 1.1× 101 0.9× 127 1.6× 58 1.0× 49 1.0× 27 271
J.-W. Juhn South Korea 8 206 0.9× 89 0.8× 88 1.1× 46 0.8× 52 1.1× 33 228
K. C. Lee United States 10 275 1.2× 150 1.4× 75 0.9× 55 0.9× 55 1.1× 27 307
G. Naylor United Kingdom 10 285 1.2× 137 1.3× 102 1.3× 65 1.1× 73 1.5× 21 323

Countries citing papers authored by M. Giacomin

Since Specialization
Citations

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

Fields of papers citing papers by M. Giacomin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Giacomin. A scholar is included among the top collaborators of M. Giacomin 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. Giacomin. M. Giacomin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Giacomin, M., David Dickinson, W. Dorland, et al.. (2025). A quasi-linear model of electromagnetic turbulent transport and its application to flux-driven transport predictions for STEP. Journal of Plasma Physics. 91(1). 3 indexed citations
2.
Kennedy, Daniel, et al.. (2025). Suppression of temperature-gradient-driven turbulence by sheared flows in fusion plasmas. Journal of Plasma Physics. 91(2). 1 indexed citations
3.
Patel, B., et al.. (2025). The impact of E × B shear on microtearing based transport in spherical tokamaks. Nuclear Fusion. 65(2). 26063–26063. 3 indexed citations
4.
Patel, B., P. Hill, M. Giacomin, et al.. (2024). Pyrokinetics - A Python library to standardisegyrokinetic analysis. The Journal of Open Source Software. 9(95). 5866–5866. 5 indexed citations
5.
Giacomin, M., Daniel Kennedy, F. J. Casson, et al.. (2024). On electromagnetic turbulence and transport in STEP. Plasma Physics and Controlled Fusion. 66(5). 55010–55010. 16 indexed citations
6.
Kennedy, Daniel, C.M. Roach, M. Giacomin, et al.. (2024). On the importance of parallel magnetic-field fluctuations for electromagnetic instabilities in STEP. Nuclear Fusion. 64(8). 86049–86049. 13 indexed citations
7.
Giacomin, M., David Dickinson, Daniel Kennedy, B. Patel, & C.M. Roach. (2023). Nonlinear microtearing modes in MAST and their stochastic layer formation. Plasma Physics and Controlled Fusion. 65(9). 95019–95019. 11 indexed citations
8.
Kennedy, Daniel, M. Giacomin, F. J. Casson, et al.. (2023). Electromagnetic gyrokinetic instabilities in STEP. Nuclear Fusion. 63(12). 126061–126061. 17 indexed citations
9.
Giacomin, M., et al.. (2023). Effect of triangularity on plasma turbulence and the SOL-width scaling in L-mode diverted tokamak configurations. Plasma Physics and Controlled Fusion. 65(8). 85006–85006. 11 indexed citations
10.
Giacomin, M., A. Pau, Paolo Ricci, et al.. (2022). First-Principles Density Limit Scaling in Tokamaks Based on Edge Turbulent Transport and Implications for ITER. Physical Review Letters. 128(18). 185003–185003. 40 indexed citations
11.
Giacomin, M., et al.. (2022). The GBS code for the self-consistent simulation of plasma turbulence and kinetic neutral dynamics in the tokamak boundary. Journal of Computational Physics. 463. 111294–111294. 42 indexed citations
12.
Loizu, J., et al.. (2022). Global fluid simulation of plasma turbulence in a stellarator with an island divertor. Nuclear Fusion. 62(7). 74004–74004. 9 indexed citations
13.
Giacomin, M. & Paolo Ricci. (2022). Turbulent transport regimes in the tokamak boundary and operational limits. Physics of Plasmas. 29(6). 13 indexed citations
14.
Stefanini, A. M., G. Montagnoli, M. Giacomin, et al.. (2021). New insights into sub-barrier fusion of 28 Si + 100 Mo. Journal of Physics G Nuclear and Particle Physics. 48(5). 55101–55101. 14 indexed citations
15.
Ricci, Paolo, et al.. (2021). Investigation of the density shoulder formation by using self-consistent simulations of plasma turbulence and neutral kinetic dynamics. Nuclear Fusion. 61(12). 126029–126029. 13 indexed citations
16.
Giacomin, M., et al.. (2019). Turbulence and flows in the plasma boundary of snowflake magnetic configurations. Nuclear Fusion. 60(2). 24001–24001. 15 indexed citations
17.
Wünderlich, D., M. Giacomin, Raphael Ritz, & U. Fantz. (2019). Yacora on the Web: Online collisional radiative models for plasmas containing H, H2 or He. Journal of Quantitative Spectroscopy and Radiative Transfer. 240. 106695–106695. 32 indexed citations
18.
Giacomin, M.. (2017). Application of collisional radiative models for atomic and molecular hydrogen to a negative ion source for fusion. 2 indexed citations
19.
Agostinetti, P., M. Giacomin, G. Serianni, et al.. (2015). Preliminary results concerning the simulation of beam profiles from extracted ion current distributions for mini-STRIKE. Review of Scientific Instruments. 87(2). 02B913–02B913. 3 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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