Zackary Snow

929 total citations
16 papers, 706 citations indexed

About

Zackary Snow is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Zackary Snow has authored 16 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 9 papers in Biomedical Engineering and 5 papers in Automotive Engineering. Recurrent topics in Zackary Snow's work include Additive Manufacturing Materials and Processes (15 papers), Welding Techniques and Residual Stresses (11 papers) and Advanced X-ray and CT Imaging (8 papers). Zackary Snow is often cited by papers focused on Additive Manufacturing Materials and Processes (15 papers), Welding Techniques and Residual Stresses (11 papers) and Advanced X-ray and CT Imaging (8 papers). Zackary Snow collaborates with scholars based in United States and Germany. Zackary Snow's co-authors include Edward W. Reutzel, Abdalla R. Nassar, Sanjay Joshi, Richard P. Martukanitz, Jan Petrich, David J. Corbin, Amirkoushyar Ziabari, Vincent Paquit, Luke Scime and Ryan Dehoff and has published in prestigious journals such as Materials Science and Engineering A, Journal of Materials Processing Technology and Materials.

In The Last Decade

Zackary Snow

15 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zackary Snow United States 10 613 431 173 91 59 16 706
Zeqi Hu China 17 788 1.3× 320 0.7× 119 0.7× 35 0.4× 47 0.8× 40 877
Shahriar Imani Shahabad Canada 12 707 1.2× 451 1.0× 98 0.6× 121 1.3× 146 2.5× 23 874
Nachiket Patil United States 11 689 1.1× 475 1.1× 159 0.9× 46 0.5× 93 1.6× 18 787
Jon Iñaki Arrizubieta Spain 17 771 1.3× 406 0.9× 127 0.7× 48 0.5× 88 1.5× 61 862
Jason C. Fox United States 14 847 1.4× 667 1.5× 234 1.4× 93 1.0× 106 1.8× 34 904
Paweł Zmarzły Poland 14 280 0.5× 209 0.5× 134 0.8× 86 0.9× 32 0.5× 38 425
Konrad Wegener Switzerland 10 732 1.2× 468 1.1× 76 0.4× 78 0.9× 51 0.9× 28 846
Florian Bechmann Belgium 8 823 1.3× 631 1.5× 281 1.6× 85 0.9× 108 1.8× 10 910
I. Tabernero Spain 18 1.1k 1.9× 531 1.2× 141 0.8× 90 1.0× 228 3.9× 30 1.2k
M. Pavlov Russia 13 659 1.1× 311 0.7× 119 0.7× 59 0.6× 91 1.5× 19 707

Countries citing papers authored by Zackary Snow

Since Specialization
Citations

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

Fields of papers citing papers by Zackary Snow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zackary Snow

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

All Works

16 of 16 papers shown
1.
Villarraga-Gómez, Herminso, Amirkoushyar Ziabari, Zackary Snow, et al.. (2025). Multiscale Characterization of Additive Manufacturing Components with Computed Tomography, 3D X-ray Microscopy, and Deep Learning. Journal of Nondestructive Evaluation. 44(3).
2.
Snow, Zackary, et al.. (2024). A Co-Registered In-Situ and Ex-Situ Dataset of Electrical, Acoustic, and CT Characteristics from Wire Arc Additive Manufacturing Process. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
3.
Ziabari, Amirkoushyar, Singanallur Venkatakrishnan, Zackary Snow, et al.. (2023). Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction. npj Computational Materials. 9(1). 28 indexed citations
4.
Snow, Zackary, et al.. (2023). Scalable in situ non-destructive evaluation of additively manufactured components using process monitoring, sensor fusion, and machine learning. Additive manufacturing. 78. 103817–103817. 19 indexed citations
5.
Scime, Luke, et al.. (2023). A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts. Materials. 16(23). 7293–7293. 6 indexed citations
6.
Snow, Zackary, et al.. (2022). Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring. Additive manufacturing. 61. 103298–103298. 48 indexed citations
7.
Snow, Zackary, Edward W. Reutzel, Abdalla R. Nassar, et al.. (2022). Analysis of factors affecting fatigue performance of HIP'd laser-based powder bed fusion Ti–6Al–4V coupons. Materials Science and Engineering A. 864. 144575–144575. 7 indexed citations
8.
Snow, Zackary, et al.. (2021). Nonlinear resonance ultrasonic spectroscopy (NRUS) for the quality control of additively manufactured samples. NDT & E International. 123. 102495–102495. 19 indexed citations
9.
Snow, Zackary, et al.. (2021). Flaw Identification in Additively Manufactured Parts Using X-ray Computed Tomography and Destructive Serial Sectioning. Journal of Materials Engineering and Performance. 30(7). 4958–4964. 15 indexed citations
10.
Petrich, Jan, Zackary Snow, David J. Corbin, & Edward W. Reutzel. (2021). Multi-modal sensor fusion with machine learning for data-driven process monitoring for additive manufacturing. Additive manufacturing. 48. 102364–102364. 94 indexed citations
11.
Snow, Zackary, et al.. (2021). Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning. Journal of Manufacturing Systems. 59. 12–26. 125 indexed citations
12.
Snow, Zackary, Edward W. Reutzel, & Jan Petrich. (2021). Correlating in-situ sensor data to defect locations and part quality for additively manufactured parts using machine learning. Journal of Materials Processing Technology. 302. 117476–117476. 42 indexed citations
13.
Snow, Zackary, et al.. (2021). Correction to: Flaw Identification in Additively Manufactured Parts Using X-ray Computed Tomography and Destructive Serial Sectioning. Journal of Materials Engineering and Performance. 30(7). 4965–4965. 2 indexed citations
14.
Snow, Zackary, Abdalla R. Nassar, & Edward W. Reutzel. (2020). Invited Review Article: Review of the formation and impact of flaws in powder bed fusion additive manufacturing. Additive manufacturing. 36. 101457–101457. 180 indexed citations
15.
Snow, Zackary, Richard P. Martukanitz, & Sanjay Joshi. (2019). On the development of powder spreadability metrics and feedstock requirements for powder bed fusion additive manufacturing. Additive manufacturing. 28. 78–86. 117 indexed citations
16.
Snow, Zackary. (2018). UNDERSTANDING POWDER SPREADABILITY IN POWDER BED FUSION ADDITIVE MANUFACTURING. 3 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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2026