Crystal E. Owens

566 total citations
31 papers, 390 citations indexed

About

Crystal E. Owens is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Materials Chemistry. According to data from OpenAlex, Crystal E. Owens has authored 31 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Fluid Flow and Transfer Processes and 5 papers in Materials Chemistry. Recurrent topics in Crystal E. Owens's work include Rheology and Fluid Dynamics Studies (9 papers), Carbon Nanotubes in Composites (3 papers) and Polysaccharides Composition and Applications (3 papers). Crystal E. Owens is often cited by papers focused on Rheology and Fluid Dynamics Studies (9 papers), Carbon Nanotubes in Composites (3 papers) and Polysaccharides Composition and Applications (3 papers). Crystal E. Owens collaborates with scholars based in United States, Canada and United Kingdom. Crystal E. Owens's co-authors include A. John Hart, Gareth H. McKinley, F. N. Owens, R. A. Zinn, Abubeker Hassen, Pablo B. Sánchez, Mario Milazzo, Benji Maruyama, Robert J. Headrick and David L. Kaplan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Advanced Functional Materials.

In The Last Decade

Crystal E. Owens

27 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Crystal E. Owens United States 12 156 65 64 57 42 31 390
Ganapathy Sivakumar United States 8 242 1.6× 37 0.6× 110 1.7× 86 1.5× 93 2.2× 18 411
Nathan C. Crawford United States 10 191 1.2× 28 0.4× 34 0.5× 65 1.1× 99 2.4× 13 361
Ziqian Li China 9 208 1.3× 16 0.2× 25 0.4× 29 0.5× 107 2.5× 19 556
Bo Fan China 10 139 0.9× 22 0.3× 77 1.2× 47 0.8× 84 2.0× 28 497
Subhajit Sen India 10 162 1.0× 119 1.8× 7 0.1× 56 1.0× 54 1.3× 44 443
Tao Qin China 10 118 0.8× 45 0.7× 84 1.3× 20 0.4× 78 1.9× 35 321
Daing Mohamad Nafiz Daing Idris Malaysia 7 91 0.6× 36 0.6× 55 0.9× 118 2.1× 171 4.1× 19 381
K. Raja India 12 135 0.9× 48 0.7× 66 1.0× 101 1.8× 277 6.6× 42 400
Tri Tuladhar United Kingdom 11 205 1.3× 150 2.3× 76 1.2× 62 1.1× 75 1.8× 20 525
L. Anantha Raman India 5 238 1.5× 98 1.5× 168 2.6× 33 0.6× 102 2.4× 10 372

Countries citing papers authored by Crystal E. Owens

Since Specialization
Citations

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

Fields of papers citing papers by Crystal E. Owens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Crystal E. Owens. 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 Crystal E. Owens. The network helps show where Crystal E. Owens may publish in the future.

Co-authorship network of co-authors of Crystal E. Owens

This figure shows the co-authorship network connecting the top 25 collaborators of Crystal E. Owens. A scholar is included among the top collaborators of Crystal E. Owens 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 Crystal E. Owens. Crystal E. Owens 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.
Vadillo, Damien, et al.. (2025). Vane rheometry of viscoelastic liquids and yield stress fluids. Rheologica Acta. 64(6-7). 315–335. 1 indexed citations
2.
Hart, A. John, et al.. (2024). A low-cost, open-source cylindrical Couette rheometer. Scientific Reports. 14(1). 30187–30187.
3.
Makatura, Liane, Michael Foshey, Bohan Wang, et al.. (2024). Large Language Models for Design and Manufacturing. 15 indexed citations
4.
Makatura, Liane, Michael Foshey, Bohan Wang, et al.. (2024). How Can Large Language Models Help Humans in Design and Manufacturing? Part 1: Elements of the LLM-Enabled Computational Design and Manufacturing Pipeline. SHILAP Revista de lepidopterología. 3 indexed citations
5.
Gan, Chuang, Kaiming He, Pingchuan Ma, et al.. (2024). Physically Compatible 3D Object Modeling from a Single Image. 119260–119282.
6.
Makatura, Liane, Michael Foshey, Bohan Wang, et al.. (2024). How Can Large Language Models Help Humans in Design And Manufacturing? Part 2: Synthesizing an End-to-End LLM-Enabled Design and Manufacturing Workflow. SHILAP Revista de lepidopterología. 19 indexed citations
7.
Marín‐Santibáñez, Benjamín M., et al.. (2023). Rheo-PIV of yield-stress fluids in a 3D-printed fractal vane-in-cup geometry. Journal of Rheology. 67(4). 891–891. 8 indexed citations
8.
Song, Jake, Sungjin Kim, Olivia M. Saouaf, et al.. (2023). Soft Viscoelastic Magnetic Hydrogels from theIn SituMineralization of Iron Oxide in Metal-Coordinate Polymer Networks. ACS Applied Materials & Interfaces. 15(45). 52874–52882. 3 indexed citations
10.
Owens, Crystal E., et al.. (2023). A Railgun Secondary Propulsion System for High-Speed Hyperloop Transportation. IEEE Transactions on Plasma Science. 51(1). 243–248. 5 indexed citations
11.
Owens, Crystal E., Kartik M. Varadarajan, A. John Hart, et al.. (2023). Comparing machine learning algorithms for non-invasive detection and classification of failure in piezoresistive bone cement via electrical impedance tomography. Review of Scientific Instruments. 94(12). 2 indexed citations
12.
Cao, Changhong, Michael S. H. Boutilier, Sanha Kim, et al.. (2023). Low-Profile, Large-Range Compressive Strain Sensing Using Micromanufactured CNT Micropillar Arrays. ACS Applied Materials & Interfaces. 15(32). 38665–38673. 4 indexed citations
13.
Headrick, Robert J., Crystal E. Owens, Lauren W. Taylor, et al.. (2022). Versatile acid solvents for pristine carbon nanotube assembly. Science Advances. 8(17). eabm3285–eabm3285. 31 indexed citations
14.
Cao, Changhong, Qixiang Wang, Heng Zhang, et al.. (2022). Multiscale Plasmonic Refractory Nanocomposites for High-Temperature Solar Photothermal Conversion. Nano Letters. 22(21). 8526–8533. 17 indexed citations
15.
Owens, Crystal E., et al.. (2022). Time-resolved rheometry of coarsening foams using three-dimensionally printed fractal vanes. Physics of Fluids. 34(11). 9 indexed citations
16.
Ohtani, Hiroko, et al.. (2021). An improved Capillary Breakup Extensional Rheometer to characterize weakly rate-thickening fluids: Applications in synthetic automotive oils. Journal of Non-Newtonian Fluid Mechanics. 291. 104496–104496. 14 indexed citations
17.
Owens, Crystal E., Robert J. Headrick, Tyson C. Back, et al.. (2021). Pointwise Fabrication and Fluidic Shaping of Carbon Nanotube Field Emitters. 119. 912–915. 2 indexed citations
18.
Owens, Crystal E., A. John Hart, & Gareth H. McKinley. (2020). Improved rheometry of yield stress fluids using bespoke fractal 3D printed vanes. Journal of Rheology. 64(3). 643–662. 40 indexed citations
19.
Owens, Crystal E., Gareth H. McKinley, & John P. Hart. (2019). 3D printing by tailored extrusion of carbon nanotube inks. Bulletin of the American Physical Society. 2019. 1 indexed citations
20.
Reyes, Christopher, Lin Fu, Crystal E. Owens, et al.. (2018). The Limits of Primary Radiation Forces in Bulk Acoustic Standing Waves for Concentrating Nanoparticles. Particle & Particle Systems Characterization. 35(7). 14 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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