David A. Jack

1.3k total citations
76 papers, 984 citations indexed

About

David A. Jack is a scholar working on Mechanics of Materials, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, David A. Jack has authored 76 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Mechanics of Materials, 33 papers in Mechanical Engineering and 16 papers in Automotive Engineering. Recurrent topics in David A. Jack's work include Composite Material Mechanics (26 papers), Ultrasonics and Acoustic Wave Propagation (20 papers) and Additive Manufacturing and 3D Printing Technologies (16 papers). David A. Jack is often cited by papers focused on Composite Material Mechanics (26 papers), Ultrasonics and Acoustic Wave Propagation (20 papers) and Additive Manufacturing and 3D Printing Technologies (16 papers). David A. Jack collaborates with scholars based in United States, South Korea and Australia. David A. Jack's co-authors include Douglas E. Smith, Stephen Montgomery-Smith, Ben Wang, Richard Liang, Chuck Zhang, Najam ul Qadir, Zhaogui Wang, Tim A. Osswald, Zhiyong Liang and Dongdong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Composites Part B Engineering.

In The Last Decade

David A. Jack

70 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Jack United States 17 533 349 274 237 157 76 984
Paolo Bettini Italy 18 294 0.6× 232 0.7× 500 1.8× 154 0.6× 155 1.0× 70 1.1k
Jaret C. Riddick United States 16 294 0.6× 365 1.0× 418 1.5× 118 0.5× 204 1.3× 40 894
Ilaria Papa Italy 20 647 1.2× 237 0.7× 639 2.3× 181 0.8× 140 0.9× 99 1.3k
Huanxiong Xia China 16 181 0.3× 410 1.2× 431 1.6× 118 0.5× 161 1.0× 66 843
Fereidoon Delfanian United States 12 201 0.4× 344 1.0× 252 0.9× 88 0.4× 179 1.1× 34 639
Zafer Kazancı Türkiye 19 384 0.7× 255 0.7× 792 2.9× 143 0.6× 128 0.8× 60 1.2k
Yuliang Hou China 20 816 1.5× 160 0.5× 692 2.5× 147 0.6× 102 0.6× 47 1.4k
Mahoor Mehdikhani Belgium 15 908 1.7× 158 0.5× 647 2.4× 120 0.5× 128 0.8× 39 1.5k
Aamir Mubashar Pakistan 15 480 0.9× 83 0.2× 467 1.7× 129 0.5× 101 0.6× 58 916
Peter Middendorf Germany 21 749 1.4× 176 0.5× 655 2.4× 164 0.7× 112 0.7× 115 1.4k

Countries citing papers authored by David A. Jack

Since Specialization
Citations

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

Fields of papers citing papers by David A. Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Jack. 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 David A. Jack. The network helps show where David A. Jack may publish in the future.

Co-authorship network of co-authors of David A. Jack

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Jack. A scholar is included among the top collaborators of David A. Jack 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 David A. Jack. David A. Jack 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.
2.
Stenning, David C., et al.. (2025). Computational modeling of low-velocity impact response in long discontinuous fiber composite with statistical validation. Composites Part B Engineering. 305. 112708–112708. 1 indexed citations
3.
Lu, Hongbing, et al.. (2025). Hybrid manufacturing of ceramic-metal composites by vat polymerization 3D printing and pulse electroplating. Journal of Manufacturing Processes. 144. 157–169. 1 indexed citations
4.
Yudhanto, Arief, et al.. (2024). Progressive damage modeling in open hole composite laminates with ultrasound-informed drilling-induced delamination. Composites Part A Applied Science and Manufacturing. 184. 108262–108262. 7 indexed citations
5.
6.
Jack, David A., et al.. (2024). Nondestructive quantification of internal raster path for additively manufactured components via ultrasonic testing. Scientific Reports. 14(1). 11416–11416. 3 indexed citations
7.
Jack, David A., et al.. (2024). High-Resolution Ultrasound to Quantify Sub-Surface Wrinkles in a Woven CFRP Laminate. Materials. 17(9). 2002–2002. 8 indexed citations
8.
Jack, David A., et al.. (2024). Quantification of Drill Hole Damages in CFRP Laminates Using High-Resolution Ultrasonic Testing. SHILAP Revista de lepidopterología. 3. 1–9.
9.
Jack, David A., et al.. (2024). A statistical approach for failure analysis involving uncertainty in determining ply orientation. Polymer Composites. 45(6). 5192–5206. 6 indexed citations
10.
Khan, I.A., et al.. (2024). Characterization of Out-of-Plane wrinkles in woven CFRP Laminate: Development of a novel algorithm utilizing ultrasonic scan data. Composites Part A Applied Science and Manufacturing. 190. 108644–108644.
11.
Jack, David A., et al.. (2023). Fiber Orientation Quantification for Large Area Additively Manufactured Parts Using SEM Imaging. Polymers. 15(13). 2871–2871. 7 indexed citations
12.
Jack, David A., et al.. (2023). Automated Characterization of the Ply Stacking Sequence of a Woven Carbon Fiber Composite Using Pulse-Echo Ultrasound. Journal of Composites Science. 7(9). 398–398. 7 indexed citations
13.
Gravagne, Ian, et al.. (2023). Non-Destructive Evaluation of In-Plane Waviness in Carbon Fiber Laminates Using Eddy Current Testing. Applied Sciences. 13(10). 6009–6009. 8 indexed citations
14.
Osswald, Tim A., et al.. (2023). Polymer composites–Special issue review for additive manufacturing of composites. Polymer Composites. 44(12). 8195–8199. 8 indexed citations
15.
Jack, David A., et al.. (2023). Tensile and Compression Strength Prediction and Validation in 3D-Printed Short-Fiber-Reinforced Polymers. Polymers. 15(17). 3605–3605. 1 indexed citations
16.
Jack, David A., et al.. (2023). Automated bondline thickness quantification in adhesively joined composites and metals using ultrasound. Polymer Composites. 45(3). 2324–2336. 5 indexed citations
17.
Moore, David G., et al.. (2019). Nanofocus X-ray computed tomography and ultrasonic inspection of barely visible impact damage in carbon fiber reinforced polymers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
18.
Smith, Douglas E., et al.. (2015). The Effects of Extrudate Swell, Nozzle Shape, and the Nozzle Convergence Zone on Fiber Orientation in Fused Deposition Modeling Nozzle Flow. 6 indexed citations
19.
Kim, Minwoo, et al.. (2013). Manufacturing process improvement and mechanical modelling of multiwalled carbon nanotube/epoxy composites. Plastics Rubber and Composites Macromolecular Engineering. 42(5). 210–218. 5 indexed citations
20.
Jack, David A., et al.. (2010). Electrical conductivity modeling and experimental study of densely packed SWCNT networks. Nanotechnology. 21(19). 195703–195703. 32 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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