Craig Przybyla

1.5k total citations
53 papers, 1.2k citations indexed

About

Craig Przybyla is a scholar working on Mechanics of Materials, Mechanical Engineering and Ceramics and Composites. According to data from OpenAlex, Craig Przybyla has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanics of Materials, 22 papers in Mechanical Engineering and 17 papers in Ceramics and Composites. Recurrent topics in Craig Przybyla's work include Advanced ceramic materials synthesis (17 papers), Fatigue and fracture mechanics (11 papers) and Composite Material Mechanics (9 papers). Craig Przybyla is often cited by papers focused on Advanced ceramic materials synthesis (17 papers), Fatigue and fracture mechanics (11 papers) and Composite Material Mechanics (9 papers). Craig Przybyla collaborates with scholars based in United States, United Kingdom and France. Craig Przybyla's co-authors include David L. McDowell, Rajesh Prasannavenkatesan, Michael Braginsky, Eric Jones, Triplicane A. Parthasarathy, Michael K. Cinibulk, M.B. Ruggles‐Wrenn, William D. Musinski, Gustavo M. Castelluccio and Mäher S. Amer and has published in prestigious journals such as Acta Materialia, IEEE Transactions on Image Processing and Journal of the American Ceramic Society.

In The Last Decade

Craig Przybyla

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig Przybyla United States 18 725 724 410 338 141 53 1.2k
Dianyin Hu China 29 1.6k 2.2× 1.5k 2.0× 572 1.4× 98 0.3× 285 2.0× 136 2.3k
Rongqiao Wang China 28 1.5k 2.0× 1.4k 1.9× 465 1.1× 74 0.2× 309 2.2× 127 2.1k
W. Y. D. Yuen Australia 20 789 1.1× 431 0.6× 403 1.0× 53 0.2× 47 0.3× 60 1.1k
James W. Foulk United States 16 280 0.4× 509 0.7× 327 0.8× 50 0.1× 96 0.7× 32 826
Wenbo Qin China 21 814 1.1× 384 0.5× 613 1.5× 31 0.1× 213 1.5× 51 1.1k
Zhengmao Yang China 16 232 0.3× 239 0.3× 130 0.3× 237 0.7× 87 0.6× 49 522
Haichao Cui China 28 1.9k 2.6× 489 0.7× 331 0.8× 52 0.2× 78 0.6× 125 2.1k
Hyeon Gyu Beom South Korea 20 321 0.4× 1.1k 1.5× 403 1.0× 37 0.1× 300 2.1× 116 1.5k
J.F. Durodola United Kingdom 18 527 0.7× 740 1.0× 145 0.4× 47 0.1× 340 2.4× 58 1.0k
Mathias Liewald Germany 14 1000 1.4× 687 0.9× 247 0.6× 29 0.1× 49 0.3× 206 1.1k

Countries citing papers authored by Craig Przybyla

Since Specialization
Citations

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

Fields of papers citing papers by Craig Przybyla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Przybyla

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Przybyla. A scholar is included among the top collaborators of Craig Przybyla 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 Przybyla. Craig Przybyla 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.
Gross, H.J., et al.. (2025). Developing a continuum damage model for ceramic matrix composites using genetic programming based symbolic regression. Composite Structures. 369. 119274–119274. 1 indexed citations
2.
Przybyla, Craig, et al.. (2025). Multiscale analysis of open holes and fasteners in CMC structures with the Generalized Finite Element Method. Composite Structures. 368. 119217–119217. 1 indexed citations
3.
Przybyla, Craig, et al.. (2024). Characterisation and damage modelling of oxide/oxide composites considering temperature dependence. Journal of the European Ceramic Society. 44(12). 7210–7223. 5 indexed citations
4.
Przybyla, Craig, et al.. (2024). Scaler nonlinear continuum damage models for ceramic matrix composites with and without in plane ply anisotropy at room temperature. Journal of the European Ceramic Society. 45(2). 116888–116888. 3 indexed citations
5.
Przybyla, Craig, et al.. (2024). Developing automated characterization techniques to quantify 3D datasets for ceramic matrix composite materials. MRS Communications. 14(5). 876–887. 1 indexed citations
6.
Tabrizi, Isa Emami, et al.. (2024). Towards automated characterisation of fatigue damage in composites using thermoelastic stress analysis. Composites Part A Applied Science and Manufacturing. 183. 108205–108205. 2 indexed citations
7.
Jefferson, George, Craig Przybyla, & Larry P. Zawada. (2021). PREFACE: ASSESSMENT OF DAMAGE PROGRESSION MODELS FOR SiC/SiC CERAMIC MATRIX COMPOSITES. International Journal for Multiscale Computational Engineering. 19(5). v–xiv. 8 indexed citations
8.
Chapman, Michael, et al.. (2019). Computationally efficient method of tracking fibres in composite materials using digital image correlation. Composites Part A Applied Science and Manufacturing. 129. 105683–105683. 12 indexed citations
9.
Yu, Hongkai, et al.. (2018). Simultaneous Tracking and Registration in SiC/SiC Serial Section Images. Microscopy and Microanalysis. 24(S1). 570–571. 1 indexed citations
10.
Parthasarathy, Triplicane A., Brian N. Cox, Olivier Sudre, Craig Przybyla, & Michael K. Cinibulk. (2017). Modeling environmentally induced property degradation of SiC/ BN /SiC ceramic matrix composites. Journal of the American Ceramic Society. 101(3). 973–997. 68 indexed citations
11.
Simmons, Jeff, et al.. (2015). Anomaly detection of microstructural defects in continuous fiber reinforced composites. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9401. 94010A–94010A. 6 indexed citations
12.
Simmons, Jeff, et al.. (2014). Physics of MRF regularization for segmentation of materials microstructure images. 4882–4886. 7 indexed citations
13.
Simmons, Jeff, et al.. (2014). Structure Quantification and Gestalt of Continuous Fiber Reinforced Composite Microstructures for ICME. MRS Proceedings. 1709. 4 indexed citations
14.
Prasannavenkatesan, Rajesh, et al.. (2011). Simulated extreme value fatigue sensitivity to inclusions and pores in martensitic gear steels. Engineering Fracture Mechanics. 78(6). 1140–1155. 40 indexed citations
15.
Przybyla, Craig & David L. McDowell. (2011). Simulated microstructure-sensitive extreme value probabilities for high cycle fatigue of duplex Ti–6Al–4V. International Journal of Plasticity. 27(12). 1871–1895. 89 indexed citations
16.
Przybyla, Craig & David L. McDowell. (2010). Simulation-based extreme value marked correlations in fatigue of advanced engineering alloys. Procedia Engineering. 2(1). 1045–1056. 19 indexed citations
17.
Przybyla, Craig & David L. McDowell. (2009). Microstructure-sensitive extreme value probabilities for high cycle fatigue of Ni-base superalloy IN100. International Journal of Plasticity. 26(3). 372–394. 173 indexed citations
18.
Przybyla, Craig, et al.. (2008). Microstructure-sensitive notch root analysis for dwell fatigue in Ni-base superalloys. International Journal of Fatigue. 31(3). 515–525. 15 indexed citations
19.
Przybyla, Craig, Brent L. Adams, & Michael Miles. (2006). Methodology for Determining the Variance of the Taylor Factor: Application in Fe-3%Si. Journal of Engineering Materials and Technology. 129(1). 82–93. 13 indexed citations
20.
Gao, Xiang, Craig Przybyla, & Brent L. Adams. (2006). Methodology for recovering and analyzing two-point pair correlation functions in polycrystalline materials. Metallurgical and Materials Transactions A. 37(8). 2379–2387. 28 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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