M. Chiaramello

643 total citations · 1 hit paper
7 papers, 413 citations indexed

About

M. Chiaramello is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, M. Chiaramello has authored 7 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in M. Chiaramello's work include Laser-Plasma Interactions and Diagnostics (5 papers), Laser-Matter Interactions and Applications (4 papers) and Laser-induced spectroscopy and plasma (2 papers). M. Chiaramello is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (5 papers), Laser-Matter Interactions and Applications (4 papers) and Laser-induced spectroscopy and plasma (2 papers). M. Chiaramello collaborates with scholars based in France, Czechia and Italy. M. Chiaramello's co-authors include C. Riconda, T. Vinci, M. Grech, F. Pérez, Guillaume Bouchard, A. Beck, J. Dargent, N. Aunai, Illya Plotnikov and A. Grassi and has published in prestigious journals such as Physical Review Letters, Computer Physics Communications and Physics of Plasmas.

In The Last Decade

M. Chiaramello

5 papers receiving 401 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Smilei : A collaborative, open-source, multi-purpose particle-in-cell code for plasma simulation

2017 306 citations Julien Dérouillat, A. Beck et al. Computer Physics Communications profile →

Peers

M. Chiaramello

NHEP

AMPO

MM

AA

EEE

Julien Dérouillat France

A. Grassi United States

Hui-Chun Wu China

M. Bailly-Grandvaux United States

D. Bernard France

Xing-Long Zhu China

A. V. Korzhimanov Russia

Vishwa Bandhu Pathak South Korea

T. Taguchi Japan

R. Presura United States

Julien Dérouillat France

M. Chiaramello

272 ×0.8

NHEP

161 ×0.6

AMPO

137 ×0.8

MM

64 ×1.0

AA

50 ×0.9

EEE

Citations per year, relative to M. Chiaramello M. Chiaramello (= 1×) peers Julien Dérouillat

Countries citing papers authored by M. Chiaramello

Since Specialization

Citations

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

Fields of papers citing papers by M. Chiaramello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chiaramello, M., et al.. (2022). An Open Source Tool to Compare Simulators on Large-Scale Cases — Application to Dynawo. 1–6. 1 indexed citations

2.

Chiaramello, M., et al.. (2022). Laboratory Framework for the Initialization of Modelica Models in Power System Time-Domain Simulation. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5.

3.

Amiranoff, F., et al.. (2018). The role of the global phase in the spatio-temporal evolution of strong-coupling Brillouin scattering. Physics of Plasmas. 25(1). 10 indexed citations

4.

Dérouillat, Julien, A. Beck, F. Pérez, et al.. (2017). Smilei : A collaborative, open-source, multi-purpose particle-in-cell code for plasma simulation. Computer Physics Communications. 222. 351–373. 306 indexed citations breakdown →

5.

Lancia, L., A. Giribono, M. Chiaramello, et al.. (2016). Signatures of the Self-Similar Regime of Strongly Coupled Stimulated Brillouin Scattering for Efficient Short Laser Pulse Amplification. Physical Review Letters. 116(7). 75001–75001. 53 indexed citations

6.

Chiaramello, M., C. Riconda, F. Amiranoff, et al.. (2016). Optimization of interaction conditions for efficient short laser pulse amplification by stimulated Brillouin scattering in the strongly coupled regime. Physics of Plasmas. 23(7). 19 indexed citations

7.

Chiaramello, M., F. Amiranoff, C. Riconda, & S. Weber. (2016). Role of Frequency Chirp and Energy Flow Directionality in the Strong Coupling Regime of Brillouin-Based Plasma Amplification. Physical Review Letters. 117(23). 235003–235003. 24 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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