M. Cianciosa

1.3k total citations
39 papers, 285 citations indexed

About

M. Cianciosa is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Biomedical Engineering. According to data from OpenAlex, M. Cianciosa has authored 39 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nuclear and High Energy Physics, 17 papers in Astronomy and Astrophysics and 9 papers in Biomedical Engineering. Recurrent topics in M. Cianciosa's work include Magnetic confinement fusion research (30 papers), Ionosphere and magnetosphere dynamics (17 papers) and Superconducting Materials and Applications (9 papers). M. Cianciosa is often cited by papers focused on Magnetic confinement fusion research (30 papers), Ionosphere and magnetosphere dynamics (17 papers) and Superconducting Materials and Applications (9 papers). M. Cianciosa collaborates with scholars based in United States, United Kingdom and Italy. M. Cianciosa's co-authors include S. P. Hirshman, A. Wingen, R.S. Wilcox, Sudip K. Seal, E.A. Unterberg, J.D. Hanson, D. Terranova, D.A. Maurer, L. Marrelli and Wael Elwasif and has published in prestigious journals such as Review of Scientific Instruments, Physics of Plasmas and Nuclear Fusion.

In The Last Decade

M. Cianciosa

37 papers receiving 256 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. Cianciosa United States 11 247 153 90 71 65 39 285
David Pfefferlé Switzerland 11 288 1.2× 176 1.2× 63 0.7× 96 1.4× 57 0.9× 41 336
R.S. Granetz United States 6 280 1.1× 142 0.9× 68 0.8× 54 0.8× 75 1.2× 21 291
S. G. Baek United States 10 329 1.3× 185 1.2× 101 1.1× 141 2.0× 92 1.4× 57 374
R. Chen China 10 376 1.5× 199 1.3× 76 0.8× 79 1.1× 105 1.6× 52 409
N. Ben Ayed United Kingdom 8 319 1.3× 193 1.3× 76 0.8× 50 0.7× 104 1.6× 11 344
F. Auriemma Italy 14 416 1.7× 217 1.4× 117 1.3× 88 1.2× 114 1.8× 44 444
N. Walkden United Kingdom 12 300 1.2× 165 1.1× 66 0.7× 47 0.7× 143 2.2× 25 349
Yonghua Ding China 12 362 1.5× 203 1.3× 148 1.6× 103 1.5× 34 0.5× 62 395
Ruihai Tong China 10 287 1.2× 121 0.8× 68 0.8× 80 1.1× 107 1.6× 55 329
G. McArdle United Kingdom 9 306 1.2× 127 0.8× 76 0.8× 80 1.1× 84 1.3× 34 332

Countries citing papers authored by M. Cianciosa

Since Specialization
Citations

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

Fields of papers citing papers by M. Cianciosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Cianciosa. A scholar is included among the top collaborators of M. Cianciosa 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. Cianciosa. M. Cianciosa 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.
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
2.
Cianciosa, M., et al.. (2022). Adaptive Generation of Training Data for ML Reduced Model Creation. 2022 IEEE International Conference on Big Data (Big Data). 3408–3416.
3.
Lasa, A., J.M. Canik, Sophie Blondel, et al.. (2020). Multi-physics modeling of the long-term evolution of helium plasma exposed surfaces. Physica Scripta. T171. 14041–14041. 15 indexed citations
4.
Cianciosa, M., M. Dunne, T. Lunt, et al.. (2020). Edge ICRF simulations in 3D geometry: From MHD equilibrium to coupling determination. AIP conference proceedings. 2254. 50006–50006. 3 indexed citations
5.
Wingen, A., R.S. Wilcox, L. Delgado-Aparicio, et al.. (2019). Helical core formation and evolution during current ramp-up in the high-field tokamak Alcator C-Mod. Physics of Plasmas. 26(2). 6 indexed citations
6.
Cianciosa, M., et al.. (2019). Machine learning for analysis of atomic spectral data. Journal of Quantitative Spectroscopy and Radiative Transfer. 240. 106671–106671. 3 indexed citations
7.
Bader, A., et al.. (2018). Minimum magnetic curvature for resilient divertors using Compact Toroidal Hybrid geometry. Plasma Physics and Controlled Fusion. 60(5). 54003–54003. 6 indexed citations
8.
Cianciosa, M., D.A. Ennis, J.D. Hanson, et al.. (2018). Determination of current and rotational transform profiles in a current-carrying stellarator using soft x-ray emissivity measurements. Physics of Plasmas. 25(1). 4 indexed citations
9.
Bernholdt, David E., et al.. (2018). Comparing theory based and higher-order reduced models for fusion simulation data. 3(2). 41–53. 1 indexed citations
10.
Wingen, A., R.S. Wilcox, M. Cianciosa, et al.. (2017). DIII‐Dにおけるトロイダル方向に回転する放電効果に整合させるための再構成3D VMEC平衡の利用. Nuclear Fusion. 57(1). 10. 3 indexed citations
11.
Lore, J., et al.. (2017). Modeling and Preparation for Experimental Testing of Heat Fluxes on W7-X Divertor Scraper Elements. IEEE Transactions on Plasma Science. 46(5). 1387–1392. 8 indexed citations
12.
Seal, Sudip K., M. Cianciosa, S. P. Hirshman, et al.. (2017). Parallel Reconstruction of Three Dimensional Magnetohydrodynamic Equilibria in Plasma Confinement Devices. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 282–291. 3 indexed citations
13.
Wingen, A., R.S. Wilcox, M. Cianciosa, et al.. (2016). Reconstruction of 3D VMEC equilibria with helical cores in DIII-D. Bulletin of the American Physical Society. 2016. 1 indexed citations
14.
Seal, Sudip K., S. P. Hirshman, A. Wingen, et al.. (2016). PARVMEC: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code. 618–627. 10 indexed citations
15.
Seal, Sudip K., et al.. (2015). Development of the PARVMEC Code for Rapid Analysis of 3D MHD Equilibrium. Bulletin of the American Physical Society. 2015. 1 indexed citations
16.
Maurer, D.A., S. Knowlton, M. Cianciosa, et al.. (2015). Non-axisymmetric equilibrium reconstruction of a current-carrying stellarator using external magnetic and soft x-ray inversion radius measurements. Physics of Plasmas. 22(12). 6 indexed citations
17.
Cianciosa, M., D.A. Ennis, J.D. Hanson, et al.. (2015). Low edge safety factor operation and passive disruption avoidance in current carrying plasmas by the addition of stellarator rotational transform. Physics of Plasmas. 22(11). 14 indexed citations
18.
Cianciosa, M., D.A. Ennis, J.D. Hanson, et al.. (2014). Suppression of vertical instability in elongated current-carrying plasmas by applying stellarator rotational transform. Physics of Plasmas. 21(5). 13 indexed citations
19.
Terranova, D., L. Marrelli, J.D. Hanson, et al.. (2013). Helical equilibrium reconstruction with V3FIT in the RFX-mod Reversed Field Pinch. Nuclear Fusion. 53(11). 113014–113014. 17 indexed citations
20.
Jefferson, Ro, M. Cianciosa, & Edward Thomas. (2010). Simulations of one- and two-dimensional complex plasmas using a modular, object-oriented code. Physics of Plasmas. 17(11). 4 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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