Edmund Tarleton

3.0k total citations
75 papers, 2.3k citations indexed

About

Edmund Tarleton is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Edmund Tarleton has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Materials Chemistry, 36 papers in Mechanical Engineering and 29 papers in Mechanics of Materials. Recurrent topics in Edmund Tarleton's work include Microstructure and mechanical properties (39 papers), Nuclear Materials and Properties (15 papers) and Fusion materials and technologies (14 papers). Edmund Tarleton is often cited by papers focused on Microstructure and mechanical properties (39 papers), Nuclear Materials and Properties (15 papers) and Fusion materials and technologies (14 papers). Edmund Tarleton collaborates with scholars based in United Kingdom, United States and France. Edmund Tarleton's co-authors include A.C.F. Cocks, Steve Roberts, Felix Hofmann, A.J. Wilkinson, Suchandrima Das, Nicolò Grilli, T. Ben Britton, David M. Collins, M. N. Charalambides and Olga Barrera and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Acta Materialia.

In The Last Decade

Edmund Tarleton

73 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edmund Tarleton United Kingdom 29 1.6k 1.1k 731 426 201 75 2.3k
Matthew M. Nowell United States 14 1.2k 0.8× 1.4k 1.3× 549 0.8× 294 0.7× 324 1.6× 43 2.1k
D. J. Bammann United States 24 1.4k 0.9× 1.1k 1.0× 906 1.2× 149 0.3× 225 1.1× 48 2.2k
Dongsheng Xu China 27 1.8k 1.1× 1.6k 1.4× 538 0.7× 95 0.2× 248 1.2× 95 2.3k
V.Y. Gertsman Russia 24 1.8k 1.1× 1.5k 1.3× 650 0.9× 360 0.8× 364 1.8× 63 2.2k
Ken Mingard United Kingdom 24 917 0.6× 1.2k 1.1× 470 0.6× 223 0.5× 154 0.8× 82 1.8k
Jaroslav Pokluda Czechia 23 1.2k 0.8× 931 0.8× 836 1.1× 146 0.3× 216 1.1× 130 1.9k
Liming Xiong United States 31 1.5k 0.9× 811 0.7× 408 0.6× 81 0.2× 180 0.9× 65 2.0k
Y. Matsukawa Japan 27 1.7k 1.1× 813 0.7× 302 0.4× 295 0.7× 270 1.3× 68 2.0k
Matthew P. Miller United States 27 1.2k 0.8× 1.2k 1.1× 769 1.1× 142 0.3× 97 0.5× 86 1.9k
Andrew Breen Australia 24 1.1k 0.7× 932 0.8× 238 0.3× 546 1.3× 246 1.2× 66 1.8k

Countries citing papers authored by Edmund Tarleton

Since Specialization
Citations

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

Fields of papers citing papers by Edmund Tarleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edmund Tarleton

This figure shows the co-authorship network connecting the top 25 collaborators of Edmund Tarleton. A scholar is included among the top collaborators of Edmund Tarleton 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 Edmund Tarleton. Edmund Tarleton 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.
He, Guanze, Kay Song, Dmytro Nykypanchuk, et al.. (2025). Direct Imaging of Hydrogen‐Driven Dislocation and Strain Field Evolution in a Stainless Steel Grain. Advanced Materials. 37(45). e00221–e00221. 1 indexed citations
2.
Clark, George L., Oriol Gavalda‐Diaz, Stuart Robertson, et al.. (2025). Progress towards a micro fibre push-out method for measuring fibre–matrix interface properties in SiC composites. Journal of the European Ceramic Society. 45(16). 117624–117624.
3.
Kareer, Anna, et al.. (2025). Localised stress and strain distribution in sliding. Scripta Materialia. 263. 116662–116662.
4.
Demir, Eralp, et al.. (2025). Modelling the Bauschinger effect in copper during preliminary load cycles. Acta Materialia. 289. 120886–120886. 1 indexed citations
5.
Demir, Eralp, et al.. (2024). OXFORD-UMAT: An efficient and versatile crystal plasticity framework. International Journal of Solids and Structures. 307. 113110–113110. 14 indexed citations
6.
Demir, Eralp, et al.. (2024). Restraining geometrically-necessary dislocations to the active slip systems in a crystal plasticity-based finite element framework. International Journal of Plasticity. 178. 104013–104013. 12 indexed citations
7.
Zayachuk, Y., et al.. (2023). Obtaining SiC Fibers–PyC interfacial properties through push-out FEM Models. Journal of the European Ceramic Society. 44(2). 784–794. 3 indexed citations
8.
Hardie, Chris, et al.. (2023). A robust and efficient hybrid solver for crystal plasticity. International Journal of Plasticity. 170. 103773–103773. 16 indexed citations
9.
Yi, Xiong, et al.. (2022). Cold dwell behaviour of Ti6Al alloy: Understanding load shedding using digital image correlation and dislocation based crystal plasticity simulations. Journal of Material Science and Technology. 128. 254–272. 13 indexed citations
10.
Yi, Xiong, et al.. (2022). Macroscopic analysis of time dependent plasticity in Ti alloys. Journal of Material Science and Technology. 124. 135–140. 4 indexed citations
11.
Tarleton, Edmund, et al.. (2022). Computation of Burgers vectors from elastic strain and lattice rotation data. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 478(2263). 20210909–20210909. 5 indexed citations
12.
Yi, Xiong, Phani Karamched, David M. Collins, et al.. (2021). An in-situ synchrotron diffraction study of stress relaxation in titanium: Effect of temperature and oxygen on cold dwell fatigue. Acta Materialia. 213. 116937–116937. 17 indexed citations
13.
Shen, Zhao, Phani Karamched, Takumi Terachi, et al.. (2021). On the role of intergranular nanocavities in long-term stress corrosion cracking of Alloy 690. Acta Materialia. 222. 117453–117453. 34 indexed citations
14.
Yu, Hongbing, et al.. (2020). Orientation dependence of the nano-indentation behaviour of pure Tungsten. Scripta Materialia. 189. 135–139. 14 indexed citations
15.
Yi, Xiong, et al.. (2020). Cold creep of titanium: Analysis of stress relaxation using synchrotron diffraction and crystal plasticity simulations. Acta Materialia. 199. 561–577. 30 indexed citations
16.
Guo, Yi, David M. Collins, Edmund Tarleton, et al.. (2019). Dislocation density distribution at slip band-grain boundary intersections. Acta Materialia. 182. 172–183. 93 indexed citations
17.
Hu, Jianan, et al.. (2019). Comparison of self-consistent and crystal plasticity FE approaches for modelling the high-temperature deformation of 316H austenitic stainless steel. International Journal of Solids and Structures. 171. 54–80. 38 indexed citations
18.
Tarleton, Edmund. (2019). Incorporating hydrogen in mesoscale models. Computational Materials Science. 163. 282–289. 12 indexed citations
19.
Ferroni, Francesco, Edmund Tarleton, & S. P. Fitzgerald. (2014). GPU accelerated dislocation dynamics. Journal of Computational Physics. 272. 619–628. 8 indexed citations
20.
Britton, T. Ben, et al.. (2013). Assessing the precision of strain measurements using electron backscatter diffraction – Part 2: Experimental demonstration. Ultramicroscopy. 135. 136–141. 25 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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