M.A. Miller

746 total citations · 1 hit paper
15 papers, 489 citations indexed

About

M.A. Miller is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, M.A. Miller has authored 15 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 10 papers in Materials Chemistry and 3 papers in Aerospace Engineering. Recurrent topics in M.A. Miller's work include Magnetic confinement fusion research (12 papers), Fusion materials and technologies (10 papers) and Laser-Plasma Interactions and Diagnostics (5 papers). M.A. Miller is often cited by papers focused on Magnetic confinement fusion research (12 papers), Fusion materials and technologies (10 papers) and Laser-Plasma Interactions and Diagnostics (5 papers). M.A. Miller collaborates with scholars based in United States, Germany and France. M.A. Miller's co-authors include A.S. Kukushkin, X. Bonnin, G. De Temmerman, D. Moulton, P.C. Stangeby, V. Rozhansky, T. Hirai, I. Senichenkov, J.P. Gunn and I. Veselova and has published in prestigious journals such as Physics of Plasmas, Nuclear Fusion and Plasma Physics and Controlled Fusion.

In The Last Decade

M.A. Miller

13 papers receiving 457 citations

Hit Papers

Physics basis for the first ITER tungsten divertor 2019 2026 2021 2023 2019 100 200 300 400
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.

  1. Physics basis for the first ITER tungsten divertor
    2019 433 citations R.A. Pitts, X. Bonnin et al. Nuclear Materials and Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.A. Miller United States 5 398 335 110 78 49 15 489
E. Sytova Germany 8 563 1.4× 514 1.5× 141 1.3× 144 1.8× 65 1.3× 12 660
F. Subba Italy 14 343 0.9× 369 1.1× 205 1.9× 102 1.3× 50 1.0× 59 511
P. de Marné Germany 13 282 0.7× 353 1.1× 100 0.9× 83 1.1× 107 2.2× 33 430
A. Martín France 8 334 0.8× 312 0.9× 127 1.2× 142 1.8× 23 0.5× 21 478
H.G. Esser Germany 13 445 1.1× 371 1.1× 98 0.9× 63 0.8× 34 0.7× 29 511
C. Guillemaut France 14 395 1.0× 441 1.3× 118 1.1× 96 1.2× 73 1.5× 39 513
A.G. Alekseev Russia 12 226 0.6× 243 0.7× 88 0.8× 35 0.4× 27 0.6× 50 373
J. Bucalossi France 12 392 1.0× 434 1.3× 144 1.3× 113 1.4× 48 1.0× 48 548
G. Sips United Kingdom 9 292 0.7× 360 1.1× 107 1.0× 80 1.0× 80 1.6× 17 441
Shuyu Dai China 15 458 1.2× 393 1.2× 92 0.8× 102 1.3× 76 1.6× 83 594

Countries citing papers authored by M.A. Miller

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.A. Miller

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

All Works

15 of 15 papers shown
1.
Silvagni, D., O. Grover, J. W. Hughes, et al.. (2025). The separatrix electron density in JET, ASDEX upgrade and alcator C-Mod H-mode plasmas: A common evaluation procedure and correlation with engineering parameters. Nuclear Materials and Energy. 42. 101867–101867. 2 indexed citations
2.
Eich, T., T. Body, M. Faitsch, et al.. (2025). The separatrix operational space of next-step fusion experiments: From ASDEX Upgrade data to SPARC scenarios. Nuclear Materials and Energy. 42. 101896–101896. 4 indexed citations
3.
Miller, M.A., J. W. Hughes, T. Eich, et al.. (2025). Determination of confinement regime boundaries via separatrix parameters on Alcator C-Mod based on a model for interchange-drift-Alfvén turbulence. Nuclear Fusion. 65(5). 52002–52002. 1 indexed citations
4.
Hughes, J. W., P. Rodriguez-Fernandez, A. Hubbard, et al.. (2025). High confinement regimes on SPARC: operational conditions for access and avoidance. Nuclear Fusion. 65(5). 52001–52001. 1 indexed citations
5.
Miller, M.A., et al.. (2025). Unsupervised Representation Learning and Explainable Clustering for Wafer Map Pattern Analysis. IEEE Transactions on Semiconductor Manufacturing. 38(3). 693–708.
6.
Mordijck, S., Yi‐De Chuang, John Loughran, et al.. (2024). Impact of ionization and transport on pedestal density structure in DIII-D and Alcator C-Mod. Nuclear Fusion. 64(12). 126034–126034. 3 indexed citations
7.
Miller, M.A., et al.. (2024). Particle control via cryopumping and its impact on the edge plasma profiles of Alcator C-Mod. Nuclear Materials and Energy. 42. 101856–101856. 1 indexed citations
8.
Parisi, J. F., A. Nelson, S. Kaye, et al.. (2024). Kinetic-ballooning-bifurcation in tokamak pedestals across shaping and aspect-ratio. Physics of Plasmas. 31(3). 7 indexed citations
9.
Miller, M.A., David P. Arnold, A. Nelson, et al.. (2024). Power handling in a highly-radiative negative triangularity pilot plant. Plasma Physics and Controlled Fusion. 66(12). 125004–125004. 2 indexed citations
10.
Hughes, J. W., F. M. Laggner, T. Odstrčil, et al.. (2023). Pedestal main ion particle transport inference through gas puff modulation with experimental source measurements. Nuclear Fusion. 64(3). 36006–36006. 4 indexed citations
11.
Miller, M.A., R.M. Churchill, Alp Dener, et al.. (2021). Encoder–decoder neural network for solving the nonlinear Fokker–Planck–Landau collision operator in XGC. Journal of Plasma Physics. 87(2). 1 indexed citations
12.
Sciortino, F., N. T. Howard, Adam Foster, et al.. (2021). Experimental Inference of Neutral and Impurity Transport in Alcator C-Mod Using High-Resolution X-Ray and Ultra-Violet Spectra. arXiv (Cornell University). 9 indexed citations
13.
Miller, M.A., R.A. Pitts, X. Bonnin, et al.. (2020). Noise limits on ITER plasma vertical stabilization system imposed by tungsten divertor monoblock thermal fatigue. Fusion Engineering and Design. 161. 111861–111861.
14.
Pitts, R.A., X. Bonnin, F. Escourbiac, et al.. (2019). Physics basis for the first ITER tungsten divertor. Nuclear Materials and Energy. 20. 100696–100696. 433 indexed citations breakdown →
15.
Temmerman, G. De, S. Lisgo, X. Bonnin, et al.. (2019). WallDYN simulations of material migration and fuel retention in ITER low power H plasmas and high power neon-seeded DT plasmas. Nuclear Materials and Energy. 20. 100674–100674. 21 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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