Mark Easton

18.0k total citations · 8 hit papers
245 papers, 14.2k citations indexed

About

Mark Easton is a scholar working on Mechanical Engineering, Aerospace Engineering and Biomaterials. According to data from OpenAlex, Mark Easton has authored 245 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Mechanical Engineering, 124 papers in Aerospace Engineering and 109 papers in Biomaterials. Recurrent topics in Mark Easton's work include Aluminum Alloys Composites Properties (129 papers), Aluminum Alloy Microstructure Properties (124 papers) and Magnesium Alloys: Properties and Applications (108 papers). Mark Easton is often cited by papers focused on Aluminum Alloys Composites Properties (129 papers), Aluminum Alloy Microstructure Properties (124 papers) and Magnesium Alloys: Properties and Applications (108 papers). Mark Easton collaborates with scholars based in Australia, China and United States. Mark Easton's co-authors include David H. StJohn, Ma Qian, Dong Qiu, Suming Zhu, Mark A. Gibson, Peng Cao, Duyao Zhang, Milan Brandt, Mingxing Zhang and Trevor B. Abbott and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mark Easton

234 papers receiving 13.7k citations

Hit Papers

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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.

Additive manufacturing of ultrafine-grained high-strength titanium alloys

2019 822 citations Duyao Zhang, Dong Qiu et al. profile →
Grain structure control during metal 3D printing by high-intensity ultrasound

2020 615 citations C.J. Todaro, Mark Easton et al. Nature Communications profile →
Grain refinement of aluminum alloys: Part I. the nucleant and solute paradigms—a review of the literature

1999 594 citations Mark Easton, David H. StJohn profile →
The Interdependence Theory: The relationship between grain formation and nucleant selection

2011 578 citations David H. StJohn, Ma Qian et al. Acta Materialia profile →
Grain refinement of magnesium alloys

2005 570 citations David H. StJohn, Ma Qian et al. profile →
A model of grain refinement incorporating alloy constitution and potency of heterogeneous nucleant particles

2001 480 citations Mark Easton, David H. StJohn Acta Materialia profile →
Crystallographic study of grain refinement in aluminum alloys using the edge-to-edge matching model

2004 458 citations Mingxing Zhang, Mark Easton et al. Acta Materialia profile →
Selective laser melting (SLM) of AlSi12Mg lattice structures

2016 417 citations Martin Leary, Ma Qian et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark Easton	12.4k	6.3k	6.0k	5.3k	2.1k	245	14.2k
David H. StJohn	14.0k 1.1×	8.0k 1.3×	7.6k 1.3×	5.3k 1.0×	2.0k 0.9×	212	16.0k
C.H.J. Davies	9.5k 0.8×	2.8k 0.4×	6.5k 1.1×	4.8k 0.9×	1.2k 0.5×	198	11.7k
P.B. Prangnell	12.4k 1.0×	5.6k 0.9×	6.6k 1.1×	1.0k 0.2×	2.1k 1.0×	217	13.7k
Dong Qiu	6.1k 0.5×	2.6k 0.4×	3.1k 0.5×	2.2k 0.4×	1.1k 0.5×	144	7.1k
Peter J. Uggowitzer	10.7k 0.9×	4.1k 0.6×	8.2k 1.4×	6.1k 1.2×	981 0.5×	237	14.5k
Satyam Suwas	9.3k 0.8×	2.4k 0.4×	8.1k 1.4×	2.5k 0.5×	608 0.3×	447	12.3k
Christopher Hutchinson	7.1k 0.6×	3.5k 0.6×	4.8k 0.8×	1.3k 0.2×	686 0.3×	163	9.0k
Akihiko Chiba	11.0k 0.9×	2.9k 0.5×	5.9k 1.0×	839 0.2×	1.9k 0.9×	469	13.2k
Gang Sha	10.7k 0.9×	6.4k 1.0×	7.5k 1.3×	2.1k 0.4×	341 0.2×	234	13.3k
Mamoru Mabuchi	10.9k 0.9×	3.4k 0.5×	7.3k 1.2×	7.4k 1.4×	312 0.1×	399	13.8k

Countries citing papers authored by Mark Easton

Since Specialization

Citations

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

Fields of papers citing papers by Mark Easton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Easton

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

All Works

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20 of 20 papers shown

Wang, Jianying, Tao Wen, Dong Qiu, et al.. (2025). Strength-ductility synergy high performance and thermal resistant TiB2/Al-Mg-Yb-Zr alloy prepared by additive manufacturing. Materials Science and Engineering A. 950. 149482–149482.

Tennakoon, Ruwan, Aref Miri Rekavandi, Mark Easton, et al.. (2025). IT-RUDA: Information Theory-Assisted Robust Unsupervised Domain Adaptation. ACM Transactions on Intelligent Systems and Technology. 16(4). 1–17. 1 indexed citations

Downing, David, Mahyar Khorasani, Jordan Noronha, et al.. (2025). Enhancing the energy absorption of AlSi10Mg thin-walled tubes with internal lattice structure through laser powder bed fusion. Progress in Additive Manufacturing. 10(10). 8557–8576. 2 indexed citations

Qiu, Dong, et al.. (2024). Optimising the manufacturing of a β-Ti alloy produced via direct energy deposition using small dataset machine learning. Scientific Reports. 14(1). 6975–6975. 13 indexed citations

Jones, Alistair, et al.. (2024). Comparing microstructure and mechanical properties of AlSi10 alloy produced by powder bed fusion-laser beam and high pressure die casting. Rapid Prototyping Journal. 30(10). 2145–2160.

Liu, Yingang, Jingqi Zhang, Ranming Niu, et al.. (2024). Manufacturing of high strength and high conductivity copper with laser powder bed fusion. Nature Communications. 15(1). 1283–1283. 53 indexed citations

Klein, Martin, Christian Edtmaier, Jelena Horky, et al.. (2024). Effects of Heat Treatment and Processing Conditions on the Microstructure and Mechanical Properties of a Novel Ti–6.3Cu–2.2Fe–2.1Al Alloy. Advanced Engineering Materials. 26(16). 5 indexed citations

Mandal, Nilrudra, et al.. (2024). Unravelling crack tip damage mechanisms: In-situ tensile assessment of Al-6Zn-2.1 Mg-2Cu alloy strengthened by Ti, Zr, and Sc micro-alloying. Engineering Fracture Mechanics. 312. 110663–110663. 1 indexed citations

Benoit, Michael J., et al.. (2023). The beneficial effect of minor iron additions on the crack susceptibility of rapidly solidified aluminum alloy 6060 toward additive manufacturing applications. Materials Characterization. 205. 113287–113287. 13 indexed citations

10.

Tong, Xin, et al.. (2023). Microstructural evolution and strengthening mechanism of Mg-Y-RE-Zr alloy fabricated by quasi-directed energy deposition. Additive manufacturing. 67. 103487–103487. 56 indexed citations

11.

Qian, Ma, et al.. (2023). Analysing the effect of defects on stress concentration and fatigue life of L-PBF AlSi10Mg alloy using finite element modelling. Progress in Additive Manufacturing. 9(2). 341–359. 26 indexed citations

12.

Jones, Alistair, Martin Leary, Stuart Bateman, & Mark Easton. (2021). Effect of surface geometry on laser powder bed fusion defects. Journal of Materials Processing Technology. 296. 117179–117179. 36 indexed citations

13.

Zhang, Duyao, Dong Qiu, Suming Zhu, et al.. (2020). Grain refinement in laser remelted Mg-3Nd-1Gd-0.5Zr alloy. Scripta Materialia. 183. 12–16. 49 indexed citations

14.

Todaro, C.J., Mark Easton, Dong Qiu, et al.. (2020). Grain structure control during metal 3D printing by high-intensity ultrasound. Nature Communications. 11(1). 142–142. 615 indexed citations breakdown →

15.

Prasad, Arvind, Lang Yuan, Peter Lee, et al.. (2020). Towards understanding grain nucleation under Additive Manufacturing solidification conditions. Acta Materialia. 195. 392–403. 196 indexed citations

16.

Balasubramani, Nagasivamuni, Gui Wang, Mark Easton, David H. StJohn, & Matthew S. Dargusch. (2020). A comparative study of the role of solute, potent particles and ultrasonic treatment during solidification of pure Mg, Mg–Zn and Mg–Zr alloys. Journal of Magnesium and Alloys. 9(3). 829–839. 39 indexed citations

17.

Qiu, Dong, Gui Wang, Mark A. Gibson, et al.. (2019). Understanding the refinement of grains in laser surface remelted Al–Cu alloys. Scripta Materialia. 178. 447–451. 77 indexed citations

18.

Abbott, Trevor B., et al.. (2018). Anelastic deformation during cyclic loading-unloading of die-cast magnesium alloys. RMIT Research Repository (RMIT University Library). 1 indexed citations

19.

Barr, Cameron, et al.. (2018). Influence of macrosegregation on solidification cracking in laser clad ultra-high strength steels. Surface and Coatings Technology. 340. 126–136. 70 indexed citations

20.

Abbott, Trevor B. & Mark Easton. (2001). Properties of Magnesium Die Castings for Structural Applications. 25(1). 181–201. 2 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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