G. Serianni

6.2k total citations
290 papers, 3.2k citations indexed

About

G. Serianni is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, G. Serianni has authored 290 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 221 papers in Nuclear and High Energy Physics, 205 papers in Aerospace Engineering and 178 papers in Electrical and Electronic Engineering. Recurrent topics in G. Serianni's work include Magnetic confinement fusion research (218 papers), Particle accelerators and beam dynamics (201 papers) and Plasma Diagnostics and Applications (143 papers). G. Serianni is often cited by papers focused on Magnetic confinement fusion research (218 papers), Particle accelerators and beam dynamics (201 papers) and Plasma Diagnostics and Applications (143 papers). G. Serianni collaborates with scholars based in Italy, Japan and Germany. G. Serianni's co-authors include V. Antoni, E. Martines, R. Cavazzana, E. Sartori, M. Spolaore, P. Veltri, N. Vianello, Daniele Desideri, L. Tramontin and G. Chitarin and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and International Journal of Molecular Sciences.

In The Last Decade

G. Serianni

259 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Serianni Italy 26 2.5k 1.6k 1.4k 839 435 290 3.2k
A. Diallo United States 29 2.2k 0.9× 1.2k 0.7× 1.1k 0.7× 1.4k 1.7× 585 1.3× 194 3.3k
R. Pasqualotto Italy 22 1.8k 0.7× 760 0.5× 710 0.5× 617 0.7× 362 0.8× 203 2.1k
А. А. Иванов Russia 26 2.0k 0.8× 1.2k 0.7× 1.0k 0.7× 512 0.6× 626 1.4× 308 2.8k
R. Majeski United States 28 2.1k 0.8× 694 0.4× 588 0.4× 832 1.0× 968 2.2× 189 2.5k
S. Kubo Japan 25 1.6k 0.7× 985 0.6× 931 0.7× 785 0.9× 408 0.9× 304 2.8k
M. Osakabe Japan 31 3.4k 1.4× 1.6k 1.0× 1.2k 0.9× 1.2k 1.4× 1.1k 2.6× 352 4.0k
R. W. Harvey United States 35 3.1k 1.3× 1.3k 0.8× 515 0.4× 1.7k 2.0× 617 1.4× 199 3.4k
V. Antoni Italy 29 1.7k 0.7× 633 0.4× 697 0.5× 1.0k 1.2× 287 0.7× 138 2.3k
P. T. Bonoli United States 30 2.9k 1.2× 1.3k 0.8× 495 0.3× 1.5k 1.7× 705 1.6× 185 3.2k
A. Komori Japan 26 2.3k 0.9× 548 0.3× 555 0.4× 934 1.1× 1.1k 2.6× 166 2.7k

Countries citing papers authored by G. Serianni

Since Specialization
Citations

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

Fields of papers citing papers by G. Serianni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Serianni. A scholar is included among the top collaborators of G. Serianni 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. Serianni. G. Serianni 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.
Zagórski, R., I. Mario, A. Pimazzoni, et al.. (2025). Numerical reconstruction of Langmuir probe measurements obtained from the negative ion source for ITER (SPIDER). Plasma Physics and Controlled Fusion. 67(6). 65020–65020. 2 indexed citations
2.
Poggi, C., A. Pimazzoni, E. Sartori, & G. Serianni. (2025). Phase-space characterization of negative ion beams for fusion. Nuclear Fusion. 65(2). 26064–26064.
3.
Ugoletti, M., M. Agostini, C. Poggi, et al.. (2024). Correlation of source parameters and beam properties in the early operation of the full size ITER negative ion beam source. Nuclear Fusion. 64(5). 56035–56035. 1 indexed citations
4.
Pilan, N., M. Agostini, G. Chitarin, et al.. (2024). Role of Electron Stimulated Desorption in the initiation of HVDC vacuum arc. Vacuum. 224. 113109–113109.
5.
Pimazzoni, A., E. Sartori, G. Serianni, & P. Veltri. (2023). Towards self-consistent modelling of negative ion beam acceleration. Journal of Instrumentation. 18(7). C07007–C07007.
6.
Poggi, C., M. Spolaore, M. Barbisan, et al.. (2023). Measure of negative ion density in a large negative ion source using Langmuir probes. Journal of Instrumentation. 18(8). C08013–C08013. 2 indexed citations
7.
Serianni, G., et al.. (2022). Development of a Triple Langmuir Probe for Plasma Characterization in SPIDER. IEEE Transactions on Plasma Science. 50(11). 3871–3876. 5 indexed citations
8.
Galenda, Alessandro, A. Famengo, Luca Cappellin, et al.. (2022). Quantitative Analysis of Plant Cytosolic Calcium Signals in Response to Water Activated by Low-Power Non-Thermal Plasma. International Journal of Molecular Sciences. 23(18). 10752–10752. 4 indexed citations
10.
Poggi, C., M. Spolaore, M. Brombin, et al.. (2022). Langmuir Probes as a Tool to Investigate Plasma Uniformity in a Large Negative Ion Source. IEEE Transactions on Plasma Science. 50(11). 3890–3896. 16 indexed citations
11.
Barbisan, M., B. Zaniol, R. Pasqualotto, G. Serianni, & M. Ugoletti. (2021). First results from beam emission spectroscopy in SPIDER negative ion source. Plasma Physics and Controlled Fusion. 63(12). 125009–125009. 6 indexed citations
12.
Ugoletti, M., M. Agostini, M. Barbisan, et al.. (2021). Visible cameras as a non-invasive diagnostic to study negative ion beam properties. Review of Scientific Instruments. 92(4). 43302–43302. 4 indexed citations
14.
Pavei, M., S. Dal Bello, G. Gambetta, et al.. (2020). SPIDER plasma grid masking for reducing gas conductance and pressure in the vacuum vessel. Fusion Engineering and Design. 161. 112036–112036. 21 indexed citations
15.
Fadone, M., et al.. (2020). Interpreting the dynamic equilibrium during evaporation in a cesium environment. Review of Scientific Instruments. 91(1). 13332–13332. 6 indexed citations
16.
Tsumori, K., K. Ikeda, H. Nakano, et al.. (2016). Negative ion production and beam extraction processes in a large ion source (invited). Review of Scientific Instruments. 87(2). 02B936–02B936. 29 indexed citations
17.
Fonnesu, N., M. Cavenago, G. Serianni, & P. Veltri. (2015). Particle transport and heat loads in NIO1. Review of Scientific Instruments. 87(2). 02B905–02B905. 7 indexed citations
18.
Barbisan, M., C. Baltador, B. Zaniol, et al.. (2015). First hydrogen operation of NIO1: Characterization of the source plasma by means of an optical emission spectroscopy diagnostic. Review of Scientific Instruments. 87(2). 02B319–02B319. 3 indexed citations
19.
Serianni, G., P. Agostinetti, V. Antoni, et al.. (2015). Numerical simulations of the first operational conditions of the negative ion test facility SPIDER. Review of Scientific Instruments. 87(2). 02B927–02B927. 7 indexed citations
20.
Sartori, E., et al.. (2015). Simulation of space charge compensation in a multibeamlet negative ion beam. Review of Scientific Instruments. 87(2). 02B917–02B917. 19 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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