J. McClenaghan

1.6k total citations
52 papers, 513 citations indexed

About

J. McClenaghan is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, J. McClenaghan has authored 52 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Nuclear and High Energy Physics, 21 papers in Materials Chemistry and 20 papers in Astronomy and Astrophysics. Recurrent topics in J. McClenaghan's work include Magnetic confinement fusion research (46 papers), Fusion materials and technologies (21 papers) and Ionosphere and magnetosphere dynamics (19 papers). J. McClenaghan is often cited by papers focused on Magnetic confinement fusion research (46 papers), Fusion materials and technologies (21 papers) and Ionosphere and magnetosphere dynamics (19 papers). J. McClenaghan collaborates with scholars based in United States, China and United Kingdom. J. McClenaghan's co-authors include L. L. Lao, A. M. Garofalo, G. M. Staebler, Zhihong Lin, S. P. Smith, S. Ding, P.B. Snyder, B. A. Grierson, O. Meneghini and B. C. Lyons and has published in prestigious journals such as The Astrophysical Journal, Review of Scientific Instruments and Physics of Plasmas.

In The Last Decade

J. McClenaghan

51 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. McClenaghan United States 13 466 198 188 149 135 52 513
A. J. Creely United States 16 560 1.2× 281 1.4× 295 1.6× 173 1.2× 134 1.0× 32 643
A. Bader United States 13 484 1.0× 215 1.1× 175 0.9× 123 0.8× 121 0.9× 39 520
T. Golfinopoulos United States 14 654 1.4× 338 1.7× 256 1.4× 155 1.0× 168 1.2× 39 700
J. Walk United States 14 492 1.1× 284 1.4× 193 1.0× 112 0.8× 107 0.8× 23 527
S. Mordijck United States 16 678 1.5× 369 1.9× 284 1.5× 161 1.1× 181 1.3× 58 699
Tonghui Shi China 14 516 1.1× 277 1.4× 157 0.8× 148 1.0× 138 1.0× 70 563
Ye. O. Kazakov Germany 13 397 0.9× 147 0.7× 125 0.7× 167 1.1× 82 0.6× 58 440
D. King United Kingdom 13 363 0.8× 158 0.8× 197 1.0× 211 1.4× 80 0.6× 42 513
D. Galassi France 14 533 1.1× 240 1.2× 294 1.6× 94 0.6× 135 1.0× 44 577
F. Auriemma Italy 14 416 0.9× 217 1.1× 114 0.6× 88 0.6× 117 0.9× 44 444

Countries citing papers authored by J. McClenaghan

Since Specialization
Citations

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

Fields of papers citing papers by J. McClenaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. McClenaghan

This figure shows the co-authorship network connecting the top 25 collaborators of J. McClenaghan. A scholar is included among the top collaborators of J. McClenaghan 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 J. McClenaghan. J. McClenaghan 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.
Gorelenkova, M., Federico David Halpern, S. Kaye, et al.. (2025). Assessing time-dependent temperature profile predictions using reduced transport models for high performing NSTX plasmas. Plasma Physics and Controlled Fusion. 67(10). 105029–105029. 2 indexed citations
2.
Parisi, J. F., W. Guttenfelder, A. Nelson, et al.. (2024). Kinetic-ballooning-limited pedestals in spherical tokamak plasmas. Nuclear Fusion. 64(5). 54002–54002. 12 indexed citations
3.
Kruger, Scott, J. Leddy, E. C. Howell, et al.. (2024). Thinking Bayesian for plasma physicists. Physics of Plasmas. 31(5). 2 indexed citations
4.
Chen, J., et al.. (2024). Turbulence link to L-mode, I-mode, and H-mode confinement in the DIII-D tokamak. Nuclear Fusion. 64(8). 86054–86054. 3 indexed citations
5.
McClenaghan, J., et al.. (2023). Elevating zero dimensional global scaling predictions to self-consistent theory-based simulations. Physics of Plasmas. 30(7). 3 indexed citations
6.
Lyons, B. C., J. McClenaghan, O. Meneghini, et al.. (2023). Flexible, integrated modeling of tokamak stability, transport, equilibrium, and pedestal physics. Physics of Plasmas. 30(9). 6 indexed citations
7.
McClenaghan, J., G. M. Staebler, S. P. Smith, et al.. (2023). Transition from ITG to MTM linear instabilities near pedestals of high density plasmas. Physics of Plasmas. 30(4). 6 indexed citations
8.
Thome, K. E., S. P. Smith, D. J. Battaglia, et al.. (2023). Energy transport analysis of NSTX plasmas with the TGLF turbulent and NEO neoclassical transport models. Nuclear Fusion. 63(12). 126020–126020. 12 indexed citations
9.
Holland, C., E.M. Bass, D.M. Orlov, et al.. (2023). Development of compact tokamak fusion reactor use cases to inform future transport studies. Journal of Plasma Physics. 89(4). 5 indexed citations
10.
McClenaghan, J., B. C. Lyons, Charlson C. Kim, et al.. (2023). MHD modeling of shattered pellet injection in JET. Nuclear Fusion. 63(6). 66029–66029. 8 indexed citations
11.
Thome, K. E., Xiaodi Du, B. A. Grierson, et al.. (2021). Response of thermal and fast-ion transport to beam ion population, rotation and T e/T i in the DIII-D steady state hybrid scenario. Nuclear Fusion. 61(3). 36036–36036. 4 indexed citations
12.
Wang, Huiqian, A. M. Garofalo, S. Ding, et al.. (2021). Extending the operational space of the high bootstrap current fraction scenario on DIII-D towards ITER steady-state. Bulletin of the American Physical Society. 1 indexed citations
13.
McClenaghan, J., A. M. Garofalo, L. L. Lao, et al.. (2020). Transport at high ${\beta_p}$ and development of candidate steady state scenarios for ITER. Nuclear Fusion. 60(4). 46025–46025. 17 indexed citations
14.
Knölker, M., P.B. Snyder, T.E. Evans, et al.. (2020). Optimizing the Super H-mode pedestal to improve performance and facilitate divertor integration. Physics of Plasmas. 27(10). 12 indexed citations
15.
Knölker, M., T.E. Evans, P.B. Snyder, et al.. (2020). On the stability and stationarity of the Super H-mode combined with an ion transport barrier in the core. Plasma Physics and Controlled Fusion. 63(2). 25017–25017. 15 indexed citations
16.
McClenaghan, J., Jie Zhang, L. L. Lao, et al.. (2019). Self-consistent modeling investigation of density fueling needs on ITER and future devices. APS Division of Plasma Physics Meeting Abstracts. 2019. 1 indexed citations
17.
McClenaghan, J., A. M. Garofalo, G. M. Staebler, et al.. (2019). Shafranov shift bifurcation of turbulent transport in the high βp scenario on DIII-D. Nuclear Fusion. 59(12). 124002–124002. 10 indexed citations
18.
Hatch, D. R., et al.. (2019). Regimes of weak ITG/TEM modes for transport barriers without velocity shear. MPG.PuRe (Max Planck Society). 2019. 1 indexed citations
19.
Garofalo, A. M., Xianzu Gong, S. Ding, et al.. (2016). Development of high poloidal beta, steady-state scenario with ITER-like W divertor on EAST. Bulletin of the American Physical Society. 2016. 1 indexed citations
20.
McClenaghan, J., Zhihong Lin, I. Holod, Wenjun Deng, & Zhixuan Wang. (2014). Verification of gyrokinetic particle simulation of current-driven instability in fusion plasmas. I. Internal kink mode. Physics of Plasmas. 21(12). 35 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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