Noah Mandell

712 total citations
20 papers, 189 citations indexed

About

Noah Mandell is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, Noah Mandell has authored 20 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 13 papers in Astronomy and Astrophysics and 6 papers in Materials Chemistry. Recurrent topics in Noah Mandell's work include Magnetic confinement fusion research (19 papers), Ionosphere and magnetosphere dynamics (13 papers) and Fusion materials and technologies (5 papers). Noah Mandell is often cited by papers focused on Magnetic confinement fusion research (19 papers), Ionosphere and magnetosphere dynamics (13 papers) and Fusion materials and technologies (5 papers). Noah Mandell collaborates with scholars based in United States, United Kingdom and Portugal. Noah Mandell's co-authors include W. Dorland, Manaure Francisquez, G. W. Hammett, Ammar Hakim, Matt Landreman, Edmund Highcock, E. L. Shi, M. Barnes, R. Jorge and Ian Abel and has published in prestigious journals such as Physical Review Letters, Computer Physics Communications and Physics of Plasmas.

In The Last Decade

Noah Mandell

17 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noah Mandell United States 8 165 104 42 35 25 20 189
Emmanuel Lanti Switzerland 9 202 1.2× 152 1.5× 42 1.0× 50 1.4× 28 1.1× 22 229
J. Leddy United Kingdom 6 136 0.8× 68 0.7× 41 1.0× 42 1.2× 32 1.3× 11 158
F. Palermo Germany 12 226 1.4× 165 1.6× 67 1.6× 49 1.4× 25 1.0× 27 277
M. Wiesenberger Denmark 9 186 1.1× 131 1.3× 31 0.7× 14 0.4× 31 1.2× 22 228
J. Dominski United States 12 310 1.9× 241 2.3× 55 1.3× 64 1.8× 27 1.1× 31 349
E. L. Shi United States 8 172 1.0× 136 1.3× 34 0.8× 24 0.7× 43 1.7× 9 239
C. Norscini France 7 185 1.1× 130 1.3× 31 0.7× 42 1.2× 8 0.3× 14 203
George Wilkie United States 7 96 0.6× 48 0.5× 49 1.2× 22 0.6× 9 0.4× 14 142
T. Body Germany 10 162 1.0× 99 1.0× 50 1.2× 34 1.0× 31 1.2× 18 222
I.B. Semenov Russia 8 212 1.3× 130 1.3× 58 1.4× 19 0.5× 20 0.8× 22 236

Countries citing papers authored by Noah Mandell

Since Specialization
Citations

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

Fields of papers citing papers by Noah Mandell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Mandell

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Mandell. A scholar is included among the top collaborators of Noah Mandell 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 Noah Mandell. Noah Mandell 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.
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.
Guttenfelder, W., Noah Mandell, A. Bader, et al.. (2025). Predictions of core plasma performance for the Infinity Two fusion pilot plant. Journal of Plasma Physics. 91(3). 1 indexed citations
3.
Clark, D., Boon Tong Goh, Tim D. Bohm, et al.. (2025). Breeder blanket and tritium fuel cycle feasibility of the Infinity Two fusion pilot plant. Journal of Plasma Physics. 91(3). 2 indexed citations
4.
Mandell, Noah, et al.. (2025). Electron-Only Magnetic Reconnection and Inverse Magnetic-Energy Transfer at Subion Scales. Physical Review Letters. 134(15). 155201–155201.
5.
Jorge, R., et al.. (2024). Direct microstability optimization of stellarator devices. Physical review. E. 110(3). 35201–35201. 6 indexed citations
6.
Dorland, W., et al.. (2024). Optimization of nonlinear turbulence in stellarators. Journal of Plasma Physics. 90(2). 12 indexed citations
7.
Mandell, Noah, et al.. (2024). GX: a GPU-native gyrokinetic turbulence code for tokamak and stellarator design. Journal of Plasma Physics. 90(4). 11 indexed citations
8.
Francisquez, Manaure, Noah Mandell, Ammar Hakim, & G. W. Hammett. (2024). Conservative discontinuous Galerkin interpolation: Sheared boundary conditions. Computer Physics Communications. 298. 109109–109109. 1 indexed citations
9.
Halpern, Federico David, Manaure Francisquez, James Juno, et al.. (2023). Effect of neutral interactions on parallel transport and blob dynamics in gyrokinetic scrape-off layer simulations. Physics of Plasmas. 30(11). 4 indexed citations
10.
Francisquez, Manaure, et al.. (2023). Toward continuum gyrokinetic study of high-field mirrors. Physics of Plasmas. 30(10). 7 indexed citations
11.
Halpern, Federico David, Manaure Francisquez, Noah Mandell, et al.. (2022). Kinetic modeling of neutral transport for a continuum gyrokinetic code. Physics of Plasmas. 29(5). 12 indexed citations
12.
Mandell, Noah, G. W. Hammett, Ammar Hakim, & Manaure Francisquez. (2022). Reduction of transport due to magnetic shear in gyrokinetic simulations of the scrape-off layer. Plasma Physics and Controlled Fusion. 64(8). 85006–85006.
13.
Mandell, Noah, G. W. Hammett, Ammar Hakim, & Manaure Francisquez. (2022). Turbulent broadening of electron heat-flux width in electromagnetic gyrokinetic simulations of a helical scrape-off layer model. Physics of Plasmas. 29(4). 6 indexed citations
14.
Mukherjee, Rupak, et al.. (2020). Electromagnetic full-f gyrokinetic simulation of ASDEX SOL turbulence with discontinuous Galerkin method. APS Division of Plasma Physics Meeting Abstracts. 2020. 1 indexed citations
15.
Mandell, Noah, Ammar Hakim, G. W. Hammett, & Manaure Francisquez. (2020). Electromagnetic full- gyrokinetics in the tokamak edge with discontinuous Galerkin methods. Journal of Plasma Physics. 86(1). 39 indexed citations
16.
Hakim, Ammar, et al.. (2020). Continuum electromagnetic gyrokinetic simulations of turbulence in the tokamak scrape-off layer and laboratory devices. Physics of Plasmas. 27(4). 24 indexed citations
17.
Jiang, Ming, et al.. (2019). A deep learning framework for mesh relaxation in arbitrary Lagrangian-Eulerian simulations. 21–21. 5 indexed citations
18.
Highcock, Edmund, Noah Mandell, M. Barnes, & W. Dorland. (2018). Optimisation of confinement in a fusion reactor using a nonlinear turbulence model. Journal of Plasma Physics. 84(2). 16 indexed citations
19.
Mandell, Noah, W. Dorland, & Matt Landreman. (2018). Laguerre–Hermite pseudo-spectral velocity formulation of gyrokinetics. Journal of Plasma Physics. 84(1). 38 indexed citations
20.
Mandell, Noah & W. Dorland. (2014). Hybrid Gyrokinetic / Gyrofluid Simulation of ITG Turbulence. Bulletin of the American Physical Society. 2014. 1 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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