Craig M. Hamel

3.2k total citations · 2 hit papers
33 papers, 2.6k citations indexed

About

Craig M. Hamel is a scholar working on Mechanical Engineering, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Craig M. Hamel has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 15 papers in Biomedical Engineering and 10 papers in Polymers and Plastics. Recurrent topics in Craig M. Hamel's work include Advanced Materials and Mechanics (13 papers), Polymer composites and self-healing (9 papers) and Additive Manufacturing and 3D Printing Technologies (8 papers). Craig M. Hamel is often cited by papers focused on Advanced Materials and Mechanics (13 papers), Polymer composites and self-healing (9 papers) and Additive Manufacturing and 3D Printing Technologies (8 papers). Craig M. Hamel collaborates with scholars based in United States, China and France. Craig M. Hamel's co-authors include H. Jerry Qi, Xiao Kuang, Devin J. Roach, Jiangtao Wu, Martin L. Dunn, Tiejun Wang, Zhen Ding, Zeang Zhao, Kevin Long and Ming Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Macromolecules.

In The Last Decade

Craig M. Hamel

32 papers receiving 2.5k citations

Hit Papers

2 papers align trajectories

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.

Advances in 4D Printing: Materials and Applications

2018 818 citations Xiao Kuang, Devin J. Roach et al. profile →
Integrating digital light processing with direct ink writing for hybrid 3D printing of functional structures and devices

2021 177 citations Xirui Peng, Xiao Kuang et al. Additive manufacturing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig M. Hamel United States	23	1.3k	1.3k	1.0k	535	287	33	2.6k
Devin J. Roach United States	18	1.5k 1.1×	1.5k 1.2×	900 0.9×	594 1.1×	164 0.6×	31	2.5k
Amir Hosein Sakhaei United Kingdom	13	1.1k 0.8×	1.5k 1.2×	926 0.9×	603 1.1×	268 0.9×	29	2.4k
Zhen Ding China	19	1.8k 1.3×	1.7k 1.4×	1.0k 1.0×	875 1.6×	231 0.8×	34	3.2k
Zeang Zhao China	26	1.8k 1.4×	1.5k 1.2×	1.1k 1.1×	658 1.2×	479 1.7×	81	3.3k
Kaijuan Chen China	18	846 0.6×	1.1k 0.8×	743 0.7×	732 1.4×	335 1.2×	38	2.1k
Conner K. Dunn United States	12	1.6k 1.3×	2.1k 1.6×	1.4k 1.3×	1.2k 2.2×	448 1.6×	12	3.5k
Ahmad Serjouei United Kingdom	25	1.1k 0.8×	748 0.6×	745 0.7×	532 1.0×	249 0.9×	52	2.1k
Honggeng Li China	21	743 0.6×	1.0k 0.8×	583 0.6×	503 0.9×	275 1.0×	38	1.9k
Yiqi Mao China	23	1.2k 0.9×	1.1k 0.9×	466 0.5×	798 1.5×	156 0.5×	73	2.6k

Countries citing papers authored by Craig M. Hamel

Since Specialization

Citations

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

Fields of papers citing papers by Craig M. Hamel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig M. Hamel. 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 Craig M. Hamel. The network helps show where Craig M. Hamel may publish in the future.

Co-authorship network of co-authors of Craig M. Hamel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Emery, John M, et al.. (2025). Learning implicit yield surface models with uncertainty quantification for noisy datasets. Computer Methods in Applied Mechanics and Engineering. 436. 117738–117738.

Alberdi, Ryan, Craig M. Hamel, Brandon Talamini, & Michael Tupek. (2024). An optimization-based approach to tailor the mechanical response of soft metamaterials undergoing rate-dependent instabilities. Computer Methods in Applied Mechanics and Engineering. 435. 117679–117679. 1 indexed citations

Appelhans, Leah, et al.. (2024). Volumetric Additive Manufacturing of Dicyclopentadiene by Solid‐State Photopolymerization. Advanced Science. 11(34). e2402385–e2402385. 5 indexed citations

Jones, Reese E., Craig M. Hamel, Dan Bolintineanu, et al.. (2024). Multiscale simulation of spatially correlated microstructure via a latent space representation. International Journal of Solids and Structures. 301. 112966–112966. 5 indexed citations

Hamel, Craig M., Sharlotte Kramer, & Kevin Long. (2023). Calibrating Constitutive Models with Full-Field Data via Physics Informed Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations

Echlin, McLean P., Craig M. Hamel, Sharlotte Kramer, et al.. (2023). Perspective: Machine learning in experimental solid mechanics. Journal of the Mechanics and Physics of Solids. 173. 105231–105231. 42 indexed citations

Montgomery, S. Macrae, et al.. (2023). Grayscale Digital Light Processing Gradient Printing for Stress Concentration Reduction and Material Toughness Enhancement. Journal of Applied Mechanics. 90(7). 12 indexed citations

Fuhg, Jan N., Craig M. Hamel, Kyle Johnson, Reese E. Jones, & Nikolaos Bouklas. (2023). Modular machine learning-based elastoplasticity: Generalization in the context of limited data. Computer Methods in Applied Mechanics and Engineering. 407. 115930–115930. 47 indexed citations

Montgomery, S. Macrae, et al.. (2022). A reaction–diffusion model for grayscale digital light processing 3D printing. Extreme Mechanics Letters. 53. 101714–101714. 44 indexed citations

10.

Hamel, Craig M., et al.. (2022). Machine learning constitutive models of elastomeric foams. Computer Methods in Applied Mechanics and Engineering. 391. 114492–114492. 32 indexed citations

11.

Hamel, Craig M., Sharlotte Kramer, & Kevin Long. (2022). Calibrating Constitutive Models with Full Field Data via Physics Informed Neural Networks.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

12.

Roach, Devin J., Andrew Rohskopf, Craig M. Hamel, et al.. (2021). Utilizing computer vision and artificial intelligence algorithms to predict and design the mechanical compression response of direct ink write 3D printed foam replacement structures. Additive manufacturing. 41. 101950–101950. 44 indexed citations

13.

Zhang, Qiang, Shayuan Weng, Craig M. Hamel, et al.. (2021). Design for the reduction of volume shrinkage-induced distortion in digital light processing 3D printing. Extreme Mechanics Letters. 48. 101403–101403. 65 indexed citations

14.

Montgomery, S. Macrae, et al.. (2021). The 3D printing and modeling of functionally graded Kelvin foams for controlling crushing performance. Extreme Mechanics Letters. 46. 101323–101323. 27 indexed citations

15.

Peng, Xirui, Xiao Kuang, Devin J. Roach, et al.. (2021). Integrating digital light processing with direct ink writing for hybrid 3D printing of functional structures and devices. Additive manufacturing. 40. 101911–101911. 177 indexed citations breakdown →

16.

Hamel, Craig M., Devin J. Roach, Kevin Long, et al.. (2019). Machine-learning based design of active composite structures for 4D printing. Smart Materials and Structures. 28(6). 65005–65005. 117 indexed citations

17.

Kuang, Xiao, et al.. (2019). Cellulose nanocrystals support material for 3D printing complexly shaped structures via multi-materials-multi-methods printing. Additive manufacturing. 28. 14–22. 59 indexed citations

18.

Lei, Ming, Craig M. Hamel, Chao Yuan, Haibao Lu, & H. Jerry Qi. (2018). 3D printed two-dimensional periodic structures with tailored in-plane dynamic responses and fracture behaviors. Composites Science and Technology. 159. 189–198. 39 indexed citations

19.

Wu, Jiangtao, Zeang Zhao, Craig M. Hamel, et al.. (2017). Evolution of material properties during free radical photopolymerization. Journal of the Mechanics and Physics of Solids. 112. 25–49. 171 indexed citations

20.

Hamel, Craig M., Fangda Cui, & Shawn A. Chester. (2016). A finite element method for light activated shape‐memory polymers. International Journal for Numerical Methods in Engineering. 111(5). 447–473. 10 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.

Explore authors with similar magnitude of impact