Davide Curreli

1.5k total citations
93 papers, 1.1k citations indexed

About

Davide Curreli is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, Davide Curreli has authored 93 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 35 papers in Nuclear and High Energy Physics and 32 papers in Aerospace Engineering. Recurrent topics in Davide Curreli's work include Plasma Diagnostics and Applications (33 papers), Magnetic confinement fusion research (33 papers) and Fusion materials and technologies (22 papers). Davide Curreli is often cited by papers focused on Plasma Diagnostics and Applications (33 papers), Magnetic confinement fusion research (33 papers) and Fusion materials and technologies (22 papers). Davide Curreli collaborates with scholars based in United States, Italy and Spain. Davide Curreli's co-authors include D. N. Ruzic, Francis F. Chen, P. Fiflis, Shiv G. Kapoor, D. Andruczyk, Wei Xu, Andrea L. Press, Batikan Köroğlu, Timothy P. Rose and Jonathan C. Crowhurst and has published in prestigious journals such as Applied Physics Letters, The Astrophysical Journal and Analytical Chemistry.

In The Last Decade

Davide Curreli

90 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Curreli United States 20 469 415 334 266 244 93 1.1k
C. Xiao Canada 19 168 0.4× 506 1.2× 371 1.1× 88 0.3× 217 0.9× 87 921
N. Ashikawa Japan 18 164 0.3× 892 2.1× 654 2.0× 256 1.0× 183 0.8× 142 1.2k
Zehua Guo China 18 168 0.4× 246 0.6× 317 0.9× 149 0.6× 70 0.3× 87 952
Sudeep Bhattacharjee India 17 1.0k 2.2× 274 0.7× 138 0.4× 206 0.8× 149 0.6× 104 1.4k
E. Gauthier France 26 368 0.8× 1.2k 3.0× 997 3.0× 363 1.4× 291 1.2× 126 2.0k
I.E. Garkusha Ukraine 21 229 0.5× 912 2.2× 577 1.7× 100 0.4× 271 1.1× 146 1.2k
Y. Hirooka Japan 20 262 0.6× 1.1k 2.5× 544 1.6× 162 0.6× 313 1.3× 103 1.3k
R.E. Nygren United States 19 173 0.4× 1.2k 2.9× 637 1.9× 271 1.0× 199 0.8× 103 1.5k
С. И. Ткаченко Russia 19 191 0.4× 183 0.4× 462 1.4× 234 0.9× 441 1.8× 78 1.0k
J. R. Fincke United States 21 139 0.3× 288 0.7× 426 1.3× 222 0.8× 268 1.1× 52 1.1k

Countries citing papers authored by Davide Curreli

Since Specialization
Citations

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

Fields of papers citing papers by Davide Curreli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Curreli

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Curreli. A scholar is included among the top collaborators of Davide Curreli 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 Davide Curreli. Davide Curreli 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.
Tierens, W., Curtis A. Johnson, C. C. Klepper, et al.. (2025). Integrated modeling of RF-induced tungsten erosion at ICRH antenna structures in the WEST tokamak*. Nuclear Fusion. 65(7). 76039–76039.
2.
Caughman, J. B. O., K. Butler, Davide Curreli, et al.. (2024). Investigation of Materials for Radio Frequency Antenna Plasma Facing Components. IEEE Transactions on Plasma Science. 52(9). 4037–4042. 1 indexed citations
3.
Lasa, A., Sophie Blondel, Davide Curreli, et al.. (2024). Multi-physics modeling of tungsten collector probe samples during the WEST C4 He campaign. Nuclear Fusion. 64(10). 106012–106012.
4.
Lasa, A., Jae-Sun Park, J. Lore, et al.. (2024). Exploring the effect of ELM and code-coupling frequencies on plasma and material modeling of dynamic recycling in divertors. Nuclear Fusion. 64(7). 76006–76006. 3 indexed citations
5.
Curreli, Davide, et al.. (2023). Enabling attractive-repulsive potentials in binary-collision-approximation monte-carlo codes for ion-surface interactions. Materials Research Express. 10(12). 126513–126513. 3 indexed citations
6.
Sahni, Onkar, et al.. (2023). A Multi-Block Non-Uniform Implicit Mesh Approach for Particle-in-Cell Schemes. SSRN Electronic Journal.
7.
Klepper, C. C., E.A. Unterberg, Davide Curreli, et al.. (2022). Characterizing W sources in the all-W wall, all-RF WEST tokamak environment * , ** . Plasma Physics and Controlled Fusion. 64(10). 104008–104008. 10 indexed citations
8.
Crowhurst, Jonathan C., Aric C. Rousso, Sonny Ly, et al.. (2022). Investigating laser ablated plume dynamics of carbon and aluminum targets. Physics of Plasmas. 29(8). 4 indexed citations
9.
Lore, J., et al.. (2022). Simulation of Liquid Lithium Divertor Geometry Using SOLPS-ITER. IEEE Transactions on Plasma Science. 50(11). 4199–4205. 17 indexed citations
10.
Sankaran, R. Mohan, et al.. (2022). Multiphase modeling of the DC plasma–water interface: application to hydrogen peroxide generation with experimental validation. Plasma Sources Science and Technology. 31(7). 75001–75001. 19 indexed citations
11.
Köroğlu, Batikan, Chiara Saggese, Scott W. Wagnon, et al.. (2022). The influence of cooling rate on condensation of iron, aluminum, and uranium oxide nanoparticles. Journal of Aerosol Science. 162. 105959–105959. 6 indexed citations
12.
Najm, Habib N., R. Doerner, D. Nishijima, et al.. (2021). Quantification of the effect of uncertainty on impurity migration in PISCES-A simulated with GITR. Nuclear Fusion. 62(5). 56007–56007. 1 indexed citations
13.
Myra, J. R., et al.. (2020). Effect of net direct current on the properties of radio frequency sheaths: simulation and cross-code comparison. Nuclear Fusion. 61(1). 16030–16030. 6 indexed citations
14.
Thompson, D. S., et al.. (2020). Three-dimensional cross-field flows at the plasma-material interface in an oblique magnetic field. Physics of Plasmas. 27(7). 7 indexed citations
15.
Curreli, Davide, et al.. (2020). Modeling solvated electron penetration depth and aqueous chemistry at the humid air plasma-water interface. 1 indexed citations
16.
Curreli, Davide, et al.. (2019). Numerical model of the radio-frequency magnetic presheath including wall impurities. Physics of Plasmas. 26(9). 10 indexed citations
17.
Permann, Cody, et al.. (2018). Multi-Physics Object Oriented Simulation Environment (MOOSE). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
18.
Curreli, Davide, et al.. (2017). High deposition rate nanocrystalline and amorphous silicon thin film production via surface wave plasma source. Surface and Coatings Technology. 325. 370–376. 8 indexed citations
19.
Jung, Soonwook, et al.. (2013). Measuring the ion energy distribution using a retarding field energy analyzer in a plasma material interaction test stand. Bulletin of the American Physical Society. 2013. 1 indexed citations
20.
Curreli, Davide & Francis F. Chen. (2010). A novel equilibrium theory of helicon discharges. Bulletin of the American Physical Society. 2 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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