Aaron P. Stebner

3.1k total citations · 2 hit papers
84 papers, 2.4k citations indexed

About

Aaron P. Stebner is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Aaron P. Stebner has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Materials Chemistry, 30 papers in Mechanical Engineering and 16 papers in Mechanics of Materials. Recurrent topics in Aaron P. Stebner's work include Shape Memory Alloy Transformations (47 papers), Titanium Alloys Microstructure and Properties (25 papers) and Microstructure and mechanical properties (10 papers). Aaron P. Stebner is often cited by papers focused on Shape Memory Alloy Transformations (47 papers), Titanium Alloys Microstructure and Properties (25 papers) and Microstructure and mechanical properties (10 papers). Aaron P. Stebner collaborates with scholars based in United States, Russia and United Kingdom. Aaron P. Stebner's co-authors include L. Catherine Brinson, Dylan S. Cousins, Yasuhito Suzuki, Branden B. Kappes, Robynne E. Murray, Joseph R. Samaniuk, Behnam Amin-Ahmadi, Ronald D. Noebe, Donald W. Brown and Ashley Bucsek and has published in prestigious journals such as Science, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Aaron P. Stebner

78 papers receiving 2.3k citations

Hit Papers

Fatigue-resistant high-performance elastocaloric material... 2018 2026 2020 2023 2019 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron P. Stebner United States 25 1.6k 1.1k 394 290 266 84 2.4k
Peng Fan China 28 1.1k 0.7× 792 0.7× 210 0.5× 456 1.6× 312 1.2× 105 2.8k
Liang Fang China 31 1.2k 0.7× 1.5k 1.3× 1.1k 2.7× 236 0.8× 144 0.5× 120 2.8k
Fei Yin China 24 968 0.6× 1.3k 1.1× 577 1.5× 299 1.0× 172 0.6× 74 2.2k
Desiderio Kovar United States 21 624 0.4× 707 0.6× 207 0.5× 179 0.6× 159 0.6× 79 1.7k
Rong Fan China 24 666 0.4× 949 0.8× 428 1.1× 202 0.7× 120 0.5× 85 1.9k
Walter Krenkel Germany 29 1.0k 0.6× 1.9k 1.7× 856 2.2× 463 1.6× 92 0.3× 132 3.2k
Charalabos C. Doumanidis United States 24 558 0.3× 1.0k 0.9× 459 1.2× 208 0.7× 76 0.3× 117 1.8k
Rolf Janßen Germany 28 1.1k 0.7× 1.5k 1.3× 250 0.6× 141 0.5× 130 0.5× 134 2.8k
Е. Н. Каблов Russia 21 653 0.4× 912 0.8× 227 0.6× 67 0.2× 148 0.6× 187 1.7k

Countries citing papers authored by Aaron P. Stebner

Since Specialization
Citations

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

Fields of papers citing papers by Aaron P. Stebner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron P. Stebner. 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 Aaron P. Stebner. The network helps show where Aaron P. Stebner may publish in the future.

Co-authorship network of co-authors of Aaron P. Stebner

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron P. Stebner. A scholar is included among the top collaborators of Aaron P. Stebner 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 Aaron P. Stebner. Aaron P. Stebner 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.
Mohan, Soumya, et al.. (2025). Structural determination of a cubic Ni-rich phase in Hf-Ni-Ti. Acta Materialia. 287. 120748–120748. 1 indexed citations
2.
Stebner, Aaron P., et al.. (2025). Efficient Multiscale Simulations of Incremental Sheet Forming Using Machine Learning Surrogate Models for Crystal Plasticity. Integrating materials and manufacturing innovation. 14(4). 573–592.
3.
Stebner, Aaron P., et al.. (2025). One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels. ArXiv.org. 723–737.
5.
Johnson, Nathan S., Maria Strantza, Manyalibo J. Matthews, et al.. (2024). Direct measurement of the effective properties of an additively manufactured titanium octet truss unit cell using high energy X-ray diffraction. Materials Characterization. 209. 113755–113755. 2 indexed citations
6.
Mahendran, R., Surya R. Kalidindi, & Aaron P. Stebner. (2024). Implicit implementation of a coupled transformation – plasticity crystal mechanics model for shape memory alloys that includes transformation rotations. Journal of the Mechanics and Physics of Solids. 195. 105964–105964. 1 indexed citations
7.
Cousins, Dylan S., et al.. (2023). Infusible thermoplastic composites for wind turbine blade manufacturing: Static characterization of thermoplastic laminates under ambient conditions. Composites Part C Open Access. 11. 100365–100365. 13 indexed citations
8.
Boyce, Brad, Rémi Dingreville, Saaketh Desai, et al.. (2023). Machine learning for materials science: Barriers to broader adoption. Matter. 6(5). 1320–1323. 12 indexed citations
9.
Karaman, İbrahim, Darren J. Hartl, Aaron P. Stebner, et al.. (2022). Aerospace, Energy Recovery, and Medical Applications: Shape Memory Alloy Case Studies for CASMART 3rd Student Design Challenge. Shape Memory and Superelasticity. 8(2). 150–167. 4 indexed citations
10.
Liu, Sen, Aaron P. Stebner, Branden B. Kappes, & Xiaoli Zhang. (2021). Machine learning for knowledge transfer across multiple metals additive manufacturing printers. Additive manufacturing. 39. 101877–101877. 60 indexed citations
11.
Hou, Huilong, Emrah Simsek, Tao Ma, et al.. (2019). Fatigue-resistant high-performance elastocaloric materials made by additive manufacturing. Science. 366(6469). 1116–1121. 322 indexed citations breakdown →
12.
Wheeler, Robert W., Othmane Benafan, Frederick T. Calkins, et al.. (2019). Engineering design tools for shape memory alloy actuators: CASMART collaborative best practices and case studies. Journal of Intelligent Material Systems and Structures. 30(18-19). 2808–2830. 13 indexed citations
14.
Suzuki, Yasuhito, Dylan S. Cousins, John R. Dorgan, Aaron P. Stebner, & Branden B. Kappes. (2019). Dual-energy X-ray computed tomography for void detection in fiber-reinforced composites. Journal of Composite Materials. 53(17). 2349–2359. 10 indexed citations
15.
Pilchak, Adam L., et al.. (2018). Normalized resolved shear stress calculations for single crystals subjected to multiaxial loading. Materialia. 2. 53–57. 10 indexed citations
16.
Cousins, Dylan S., Yasuhito Suzuki, Robynne E. Murray, Joseph R. Samaniuk, & Aaron P. Stebner. (2018). Recycling glass fiber thermoplastic composites from wind turbine blades. Journal of Cleaner Production. 209. 1252–1263. 276 indexed citations breakdown →
17.
Casalena, Lee, Ashley Bucsek, Darren C. Pagan, et al.. (2018). Structure‐Property Relationships of a High Strength Superelastic NiTi–1Hf Alloy. Advanced Engineering Materials. 20(9). 21 indexed citations
18.
Jha, Rajesh, Nirupam Chakraborti, David R. Diercks, Aaron P. Stebner, & Cristian V. Ciobanu. (2017). Optimal Mean Radius and Volume Fraction of the Nanocrsytalline Phase in Softmagnetic Alloys: A Combined Machine Learning and Calphad Approach. arXiv (Cornell University). 1 indexed citations
19.
Stebner, Aaron P. & Kaushik Bhattacharya. (2014). Micromechanics inspired, phenomenological model of fully coupled plasticity, phase transformation, and martensite reorientation in shape memory alloys. Physical review. B, Condensed matter. 42(13). 8548–8556. 2 indexed citations
20.
Stebner, Aaron P.. (2012). Partitioning of Elastic, Transformation, and Plastic Strains Exhibited by Shape-Memory Nickel-Titanium through Modeling and Neutron Diffraction. PhDT. 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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