Michele V. Manuel

1.9k total citations
82 papers, 1.5k citations indexed

About

Michele V. Manuel is a scholar working on Materials Chemistry, Mechanical Engineering and Biomaterials. According to data from OpenAlex, Michele V. Manuel has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Materials Chemistry, 46 papers in Mechanical Engineering and 23 papers in Biomaterials. Recurrent topics in Michele V. Manuel's work include Magnesium Alloys: Properties and Applications (22 papers), Aluminum Alloys Composites Properties (21 papers) and Intermetallics and Advanced Alloy Properties (14 papers). Michele V. Manuel is often cited by papers focused on Magnesium Alloys: Properties and Applications (22 papers), Aluminum Alloys Composites Properties (21 papers) and Intermetallics and Advanced Alloy Properties (14 papers). Michele V. Manuel collaborates with scholars based in United States, Japan and Germany. Michele V. Manuel's co-authors include Harpreet S. Brar, Joey Wong, Malisa Sarntinoranont, Ida S. Berglund, Manu O. Platt, Josephine B. Allen, Fereshteh Ebrahimi, Hunter B. Henderson, Michael S. Kesler and J.S. Tulenko and has published in prestigious journals such as Journal of Applied Physics, Acta Materialia and Materials Science and Engineering A.

In The Last Decade

Michele V. Manuel

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele V. Manuel United States 22 953 870 808 249 178 82 1.5k
Masakazu Tane Japan 24 1.4k 1.4× 1.5k 1.8× 381 0.5× 202 0.8× 433 2.4× 90 2.1k
Jian Hu China 17 791 0.8× 725 0.8× 228 0.3× 364 1.5× 265 1.5× 53 1.6k
S.D. Kaloshkin Russia 20 637 0.7× 929 1.1× 204 0.3× 465 1.9× 163 0.9× 57 1.7k
Fugang Qi China 25 1.1k 1.2× 1.0k 1.2× 898 1.1× 137 0.6× 599 3.4× 115 2.0k
Thomas Ebel Germany 29 1.6k 1.6× 2.0k 2.3× 419 0.5× 389 1.6× 246 1.4× 184 3.1k
Harushige Tsubakino Japan 24 1.2k 1.3× 1.6k 1.8× 655 0.8× 207 0.8× 491 2.8× 186 2.5k
J. Mizera Poland 22 825 0.9× 1.1k 1.2× 324 0.4× 158 0.6× 416 2.3× 161 1.6k
Ferenc Wéber Hungary 18 790 0.8× 339 0.4× 189 0.2× 468 1.9× 276 1.6× 51 1.5k
Lei Jin China 21 422 0.4× 518 0.6× 118 0.1× 264 1.1× 102 0.6× 47 1.1k
Rui‐Fen Guo China 24 513 0.5× 1.1k 1.3× 248 0.3× 280 1.1× 111 0.6× 69 1.5k

Countries citing papers authored by Michele V. Manuel

Since Specialization
Citations

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

Fields of papers citing papers by Michele V. Manuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele V. Manuel. 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 Michele V. Manuel. The network helps show where Michele V. Manuel may publish in the future.

Co-authorship network of co-authors of Michele V. Manuel

This figure shows the co-authorship network connecting the top 25 collaborators of Michele V. Manuel. A scholar is included among the top collaborators of Michele V. Manuel 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 Michele V. Manuel. Michele V. Manuel 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.
Flynn, Steven, et al.. (2025). Thermocouples in Resistive and Induction Furnaces Operated in Strong Magnetic Fields. IEEE Transactions on Instrumentation and Measurement. 74. 1–5. 1 indexed citations
2.
Hamlin, J. J., Michael S. Kesler, Michele V. Manuel, et al.. (2025). Microstructural Evolution of Steel During Magnetic Field-Assisted Processing. JOM. 77(5). 2862–2874. 2 indexed citations
4.
Yang, Yang, et al.. (2024). Unsupervised machine learning and cepstral analysis with 4D-STEM for characterizing complex microstructures of metallic alloys. npj Computational Materials. 10(1). 7 indexed citations
5.
Park, Cheol, et al.. (2024). Designing lightweight neutron absorbing composites using a comprehensive absorber areal density metric. Applied Radiation and Isotopes. 206. 111227–111227.
6.
Yang, Yang, Monica Kapoor, Hunter B. Henderson, et al.. (2024). Hardenability and microstructural evolution of a precipitation strengthened Ni50Ti21Hf25Al4 alloy. Journal of Alloys and Compounds. 1010. 178088–178088.
7.
Yang, Yang, et al.. (2023). Stability of the ternary τ11-Al4Fe1.7Si intermetallic phase from experiment and Ab initio calculations. Journal of Alloys and Compounds. 978. 173207–173207. 1 indexed citations
8.
Yang, Yang, Mark W. Meisel, Michele V. Manuel, et al.. (2023). Tuning the magnetic properties of the CrMnFeCoNi Cantor alloy. Physical review. B.. 108(9). 1 indexed citations
9.
Yang, Yang, et al.. (2023). Unveiling Nanoscale Coherent Precipitates and their Strain Fields in NiTiHf-based Shape Memory Alloys Using 4D-STEM. Microscopy and Microanalysis. 29(Supplement_1). 332–333. 1 indexed citations
10.
Yang, Yang, David W. Christianson, & Michele V. Manuel. (2023). Experimental study of diffusion coefficients and assessment of atomic mobilities in FCC Al–Cu–V alloys. Calphad. 83. 102629–102629. 1 indexed citations
11.
Henderson, Hunter B., V. Ramaswamy, Alexander E. Wilson-Heid, et al.. (2018). Mechanical and degradation property improvement in a biocompatible Mg-Ca-Sr alloy by thermomechanical processing. Journal of the mechanical behavior of biomedical materials. 80. 285–292. 32 indexed citations
12.
Khafizov, Marat, Janne Pakarinen, Lingfeng He, et al.. (2016). Subsurface imaging of grain microstructure using picosecond ultrasonics. Acta Materialia. 112. 209–215. 26 indexed citations
13.
Brar, Harpreet S., Ida S. Berglund, Josephine B. Allen, & Michele V. Manuel. (2014). The role of surface oxidation on the degradation behavior of biodegradable Mg–RE (Gd, Y, Sc) alloys for resorbable implants. Materials Science and Engineering C. 40. 407–417. 46 indexed citations
14.
Wallace, Terryl A., et al.. (2013). Design methodology for liquid-assisted self-healing metals. Research Repository (Delft University of Technology). 3 indexed citations
15.
Fisher, Charles R., Paul R. Carney, Malisa Sarntinoranont, et al.. (2013). MR measurement of alloy magnetic susceptibility: Towards developing tissue-susceptibility matched metals. Journal of Magnetic Resonance. 233. 49–55. 9 indexed citations
16.
Manuel, Michele V., et al.. (2013). Fatigue Resistance of Liquid-assisted Self-repairing Aluminum Alloys Reinforced with Shape Memory Alloys. 81(3). 85–6. 5 indexed citations
17.
Robinson, James C., et al.. (2012). In the Final Analysis. JOM. 64(6). 619–619. 1 indexed citations
18.
Brar, Harpreet S., et al.. (2012). A study of a biodegradable Mg–3Sc–3Y alloy and the effect of self-passivation on the in vitro degradation. Acta Biomaterialia. 9(2). 5331–5340. 57 indexed citations
19.
Brar, Harpreet S., Joey Wong, & Michele V. Manuel. (2011). Investigation of the mechanical and degradation properties of Mg–Sr and Mg–Zn–Sr alloys for use as potential biodegradable implant materials. Journal of the mechanical behavior of biomedical materials. 7. 87–95. 214 indexed citations
20.
Manuel, Michele V., Ann McKenna, & Gregory B. Olson. (2008). Hierarchical model for coaching technical design teams. 24(2). 260–265. 9 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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