Michael Miles

1.9k total citations
74 papers, 1.6k citations indexed

About

Michael Miles is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Michael Miles has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanical Engineering, 26 papers in Materials Chemistry and 20 papers in Mechanics of Materials. Recurrent topics in Michael Miles's work include Advanced Welding Techniques Analysis (40 papers), Metal Forming Simulation Techniques (31 papers) and Aluminum Alloys Composites Properties (24 papers). Michael Miles is often cited by papers focused on Advanced Welding Techniques Analysis (40 papers), Metal Forming Simulation Techniques (31 papers) and Aluminum Alloys Composites Properties (24 papers). Michael Miles collaborates with scholars based in United States, South Korea and France. Michael Miles's co-authors include Tracy W. Nelson, David T. Fullwood, Yuri Hovanski, Ali Khosravani, F.C. Liu, R.K. Mishra, Carl D. Sorensen, Travis Rampton, Byron J. Adams and Marko Knežević and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Journal of Materials Processing Technology.

In The Last Decade

Michael Miles

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Miles United States 23 1.4k 528 362 354 316 74 1.6k
Alexander Staroselsky United States 16 1.1k 0.8× 666 1.3× 270 0.7× 387 1.1× 481 1.5× 43 1.4k
Milan Ardeljan United States 15 1.2k 0.8× 1.1k 2.1× 109 0.3× 461 1.3× 609 1.9× 15 1.5k
Lifeng Ma China 20 1.3k 0.9× 526 1.0× 483 1.3× 975 2.8× 499 1.6× 101 1.5k
Roland Golle Germany 15 866 0.6× 263 0.5× 89 0.2× 193 0.5× 464 1.5× 70 919
Daniel J. Savage United States 14 609 0.4× 552 1.0× 75 0.2× 180 0.5× 322 1.0× 33 796
D. C. Weckman Canada 21 1.3k 0.9× 180 0.3× 429 1.2× 161 0.5× 241 0.8× 58 1.4k
Guo-zheng Quan China 25 1.4k 1.0× 1.1k 2.2× 429 1.2× 162 0.5× 1.5k 4.7× 93 1.8k
Ole Runar Myhr Norway 19 1.8k 1.3× 1.0k 1.9× 1.4k 3.9× 74 0.2× 479 1.5× 47 2.1k
Zebang Zheng China 19 756 0.5× 858 1.6× 135 0.4× 120 0.3× 580 1.8× 53 1.2k
G.J. Grant United States 21 1.3k 0.9× 370 0.7× 450 1.2× 74 0.2× 284 0.9× 69 1.4k

Countries citing papers authored by Michael Miles

Since Specialization
Citations

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

Fields of papers citing papers by Michael Miles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Miles

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Miles. A scholar is included among the top collaborators of Michael Miles 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 Miles. Michael Miles 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.
Neville, Tobias P., et al.. (2025). Observation and modeling of strain gradients in AA6016 – Influence of length-scale, microstructure, and strain path. Materials Characterization. 222. 114843–114843. 2 indexed citations
2.
3.
Clark, Elizabeth A., et al.. (2024). A Study of Fit and Friction Force as a Function of the Printing Process for FFF 3D-Printed Piston–Cylinder Assembly. Journal of Manufacturing and Materials Processing. 8(6). 249–249. 1 indexed citations
4.
Knežević, Marko, et al.. (2024). Multiscale characterization of dislocation development during cyclic bending under tension in commercially pure titanium. Journal of Materials Research and Technology. 32. 2513–2527. 7 indexed citations
5.
6.
Fullwood, David T., et al.. (2024). Influence of specimen width on the elongation-to-fracture in cyclic-bending-under-tension of commercially pure titanium sheets. International Journal of Mechanical Sciences. 278. 109447–109447. 9 indexed citations
7.
Webb, A. J., et al.. (2024). Development of Backstress Under Different Strain Paths in an Aluminum Alloy: Stress Dip Testing and Modeling. Metallurgical and Materials Transactions A. 56(1). 28–40. 2 indexed citations
8.
Knežević, Marko, et al.. (2024). Springback behavior after air bending of pre-strained AA 6016-T4 sheets: Influence of dislocation density and backstress on model accuracy. Journal of Manufacturing Processes. 131. 1437–1450. 1 indexed citations
9.
Miles, Michael, et al.. (2023). Characterization of the Factors Influencing Retained Austenite Stability in Q&P Steels via In Situ EBSD. Metallurgical and Materials Transactions A. 54(4). 1355–1363. 7 indexed citations
10.
11.
Miles, Michael, et al.. (2022). 2D Axisymmetric Modeling of Refill Friction Stir Spot Welding and Experimental Validation. Journal of Manufacturing and Materials Processing. 6(4). 89–89. 12 indexed citations
12.
Kuwabara, Toshihiko, et al.. (2022). Experimental characterization and crystal plasticity modeling for predicting load reversals in AA6016-T4 and AA7021-T79. International Journal of Plasticity. 153. 103292–103292. 52 indexed citations
13.
Miles, Michael, et al.. (2020). Digital Image Correlation of Forescatter Detector Images for Simultaneous Strain and Orientation Mapping. Microscopy and Microanalysis. 26(4). 641–652. 6 indexed citations
14.
Fullwood, David T., et al.. (2018). Evolution of MG AZ31 twin activation with strain: A machine learning study. 12. 20–29. 2 indexed citations
15.
Miles, Michael, David T. Fullwood, John E. Carsley, et al.. (2017). Microstructure Correlation with Formability for Biaxial Stretching of Magnesium Alloy AZ31B at Mildly Elevated Temperatures. JOM. 69(5). 907–914. 6 indexed citations
16.
Rampton, Travis, Stuart I. Wright, Michael Miles, et al.. (2017). Improved twin detection via tracking of individual Kikuchi band intensity of EBSD patterns. Ultramicroscopy. 185. 5–14. 6 indexed citations
17.
Liu, F.C., Yuri Hovanski, Michael Miles, Carl D. Sorensen, & Tracy W. Nelson. (2017). A review of friction stir welding of steels: Tool, material flow, microstructure, and properties. Journal of Material Science and Technology. 34(1). 39–57. 199 indexed citations
18.
Grimshaw, Scott D., Natalie J. Blades, & Michael Miles. (2014). Spatial control charts for the mean. Quality Engineering. 59(1). 25–26. 1 indexed citations
19.
Miles, Michael, et al.. (2013). MODELING OF HIGH SPEED FRICTION STIR SPOT WELDING USING A LAGRANGIAN FINITE ELEMENT APPROACH. UPCommons institutional repository (Universitat Politècnica de Catalunya). 1238–1245. 1 indexed citations
20.
Hong, Sung-Tae, et al.. (2013). Friction stir spot welded joints of 409L stainless steels fabricated by a convex shoulder tool. Metals and Materials International. 19(6). 1243–1250. 12 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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