Michael Tonks

5.8k total citations · 1 hit paper
146 papers, 4.1k citations indexed

About

Michael Tonks is a scholar working on Materials Chemistry, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Michael Tonks has authored 146 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Materials Chemistry, 68 papers in Aerospace Engineering and 49 papers in Mechanical Engineering. Recurrent topics in Michael Tonks's work include Nuclear Materials and Properties (77 papers), Solidification and crystal growth phenomena (40 papers) and Nuclear reactor physics and engineering (40 papers). Michael Tonks is often cited by papers focused on Nuclear Materials and Properties (77 papers), Solidification and crystal growth phenomena (40 papers) and Nuclear reactor physics and engineering (40 papers). Michael Tonks collaborates with scholars based in United States, Canada and Germany. Michael Tonks's co-authors include Paul C. Millett, Yongfeng Zhang, Derek Gaston, David Andrš, Larry K. Aagesen, Xian-Ming Bai, Cody Permann, R.L. Williamson, Jason Hales and Richard Martineau and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Tonks

142 papers receiving 4.0k citations

Hit Papers

align trajectories

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.

Multidimensional multiphysics simulation of nuclear fuel behavior

2012 339 citations Michael Tonks, Derek Gaston et al. Journal of Nuclear Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Tonks United States	37	3.5k	2.0k	1.2k	540	454	146	4.1k
Derek Gaston United States	19	1.6k 0.5×	1.4k 0.7×	535 0.4×	327 0.6×	150 0.3×	56	2.6k
Yongfeng Zhang United States	32	1.9k 0.6×	644 0.3×	757 0.6×	282 0.5×	228 0.5×	134	2.4k
L. Luzzi Italy	28	2.3k 0.7×	2.4k 1.2×	569 0.5×	94 0.2×	460 1.0×	169	3.4k
V. Raghavan India	27	1.8k 0.5×	991 0.5×	3.0k 2.4×	383 0.7×	83 0.2×	728	4.3k
David Andrš United States	17	1.1k 0.3×	947 0.5×	355 0.3×	198 0.4×	127 0.3×	33	1.7k
Michael P. Short United States	28	1.8k 0.5×	862 0.4×	897 0.7×	270 0.5×	57 0.1×	128	2.6k
John Hunn United States	34	2.5k 0.7×	828 0.4×	555 0.4×	433 0.8×	84 0.2×	107	3.0k
Marius Stan United States	24	1.2k 0.3×	497 0.3×	461 0.4×	78 0.1×	202 0.4×	52	1.5k
Cody Permann United States	15	858 0.2×	756 0.4×	275 0.2×	177 0.3×	78 0.2×	32	1.3k
Takuya Yamamoto Japan	33	2.3k 0.7×	510 0.3×	1.1k 0.9×	493 0.9×	28 0.1×	158	3.1k

Countries citing papers authored by Michael Tonks

Since Specialization

Citations

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

Fields of papers citing papers by Michael Tonks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tonks

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hall, H. E., et al.. (2025). Elucidating grain boundary energy minimization mechanisms in textured Ca-doped alumina with inclination-dependent Monte Carlo Potts simulations. Acta Materialia. 288. 120876–120876. 1 indexed citations

Tonks, Michael, et al.. (2025). Impact of position and density of nanoscale voids on fracture initiation in iron from phase field fracture simulation. Mechanics of Materials. 206. 105348–105348. 3 indexed citations

Thompson, M. J., Victoria M. Miller, Michael Tonks, et al.. (2025). Effects of magnetic field assisted heat treatment on the microstructure and mechanical properties of Fe-0.63 %C alloy. Materials Science and Engineering A. 950. 149493–149493.

Cooper, M., et al.. (2025). The impact of minor non-stoichiometry on sintering behavior: A phase-field study. Computational Materials Science. 259. 114100–114100.

Liu, Junliang, et al.. (2025). Synergistic effects of irradiation and molten salt corrosion influenced by grain boundary types and crystallographic orientation. Corrosion Science. 258. 113385–113385. 1 indexed citations

Blondel, Sophie, et al.. (2024). Impact of grain boundary and surface diffusion on predicted fission gas bubble behavior and release in UO2 fuel. Journal of Nuclear Materials. 594. 155032–155032. 6 indexed citations

Jiang, Wen, et al.. (2023). A comparative study of two numerical approaches for solving Kim–Kim–Suzuki phase-field models. Computational Materials Science. 229. 112375–112375. 2 indexed citations

Tonks, Michael, et al.. (2023). Energetics and diffusion kinetics of point defects in MnCr2O4 spinel from first principles. Journal of Physics and Chemistry of Solids. 181. 111519–111519. 5 indexed citations

Kesler, Michael S., et al.. (2023). Automated, high-accuracy classification of textured microstructures using a convolutional neural network. Frontiers in Materials. 10. 7 indexed citations

10.

Harley, Joel B., et al.. (2023). The evolution of grain boundary energy in textured and untextured Ca‐doped alumina during grain growth. Journal of the American Ceramic Society. 107(3). 1725–1735. 6 indexed citations

11.

Zhang, Shuaifang, Wen Jiang, & Michael Tonks. (2022). Assessment of four strain energy decomposition methods for phase field fracture models using quasi-static and dynamic benchmark cases. SHILAP Revista de lepidopterología. 6(1). 21 indexed citations

12.

Michel, Bruno, M. J. Welland, Nana Ofori-Opoku, et al.. (2022). State of the art of fuel micro-mechanical modelling: From atomic scale to engineering laws in fuel performance codes. Journal of Nuclear Materials. 572. 154034–154034. 3 indexed citations

13.

Simon, Pierre-Clément A., et al.. (2021). Quantifying the effect of hydride microstructure on zirconium alloys embrittlement using image analysis. Journal of Nuclear Materials. 547. 152817–152817. 32 indexed citations

14.

Tonks, Michael, et al.. (2021). High-temperature oxidation of carbon fiber and char by molecular dynamics simulation. Carbon. 185. 449–463. 23 indexed citations

15.

Simon, Pierre-Clément A., Larry K. Aagesen, Arthur T. Motta, & Michael Tonks. (2020). The effects of introducing elasticity using different interpolation schemes to the grand potential phase field model. Computational Materials Science. 183. 109790–109790. 13 indexed citations

16.

Motta, Arthur T., Laurent Capolungo, Long‐Qing Chen, et al.. (2019). Hydrogen in zirconium alloys: A review. Journal of Nuclear Materials. 518. 440–460. 250 indexed citations

17.

Zhang, Yongfeng, Xian-Ming Bai, & Michael Tonks. (2014). Molecular dynamics calculations of grain boundary mobility in UO 2. Transactions of the American Nuclear Society. 110. 751–752. 1 indexed citations

18.

Ghosh, Susanta, et al.. (2014). Obtaining elastic constants using phase field crystal modeling. Transactions of the American Nuclear Society. 110. 925–926. 1 indexed citations

19.

Slaughter, Andrew E., Michael Tonks, Derek Gaston, et al.. (2014). Moose: A Framework to Enable Rapid Advances and Collaboration in Modeling Snow and Avalanches. 644–650.

20.

Zhang, Yongfeng, et al.. (2012). Molecular dynamics simulations of He bubble nucleation at grain boundaries. Journal of Physics Condensed Matter. 24(30). 305005–305005. 20 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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