Peter C. King

1.7k total citations
42 papers, 1.3k citations indexed

About

Peter C. King is a scholar working on Aerospace Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Peter C. King has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aerospace Engineering, 20 papers in Mechanical Engineering and 12 papers in Materials Chemistry. Recurrent topics in Peter C. King's work include High-Temperature Coating Behaviors (21 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and Advanced materials and composites (8 papers). Peter C. King is often cited by papers focused on High-Temperature Coating Behaviors (21 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and Advanced materials and composites (8 papers). Peter C. King collaborates with scholars based in Australia, China and United Kingdom. Peter C. King's co-authors include Mahnaz Jahedi, Saden H. Zahiri, M. Jahedi, Stefan Gulizia, Alejandro Vargas-Uscategui, Changhee Lee, Gyuyeol Bae, A. Poole, Rocky de Nys and Ivan Cole and has published in prestigious journals such as Acta Materialia, Journal of Membrane Science and Corrosion Science.

In The Last Decade

Peter C. King

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter C. King Australia 21 916 628 386 293 248 42 1.3k
A. Sova France 24 1.0k 1.1× 1.0k 1.7× 238 0.6× 247 0.8× 248 1.0× 50 1.5k
Saden H. Zahiri Australia 20 912 1.0× 893 1.4× 532 1.4× 245 0.8× 215 0.9× 53 1.4k
S.M. Hassani-Gangaraj Italy 16 734 0.8× 1.1k 1.7× 598 1.5× 241 0.8× 149 0.6× 19 1.6k
H. Liao France 31 1.4k 1.5× 1.3k 2.1× 585 1.5× 360 1.2× 243 1.0× 59 2.1k
S. Costil France 29 1.2k 1.3× 1.1k 1.7× 517 1.3× 309 1.1× 383 1.5× 100 2.1k
J.-G. Legoux Canada 18 723 0.8× 703 1.1× 327 0.8× 317 1.1× 97 0.4× 39 1.1k
Atieh Moridi United States 18 902 1.0× 1.5k 2.4× 592 1.5× 279 1.0× 178 0.7× 44 2.1k
Phuong Vo Canada 23 1.3k 1.4× 1.1k 1.7× 697 1.8× 377 1.3× 119 0.5× 62 1.9k
Yingchun Xie China 32 1.6k 1.7× 1.8k 2.9× 547 1.4× 430 1.5× 262 1.1× 109 2.7k
L. Ajdelsztajn United States 26 1.6k 1.7× 1.5k 2.5× 704 1.8× 462 1.6× 110 0.4× 46 2.0k

Countries citing papers authored by Peter C. King

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. King. 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 Peter C. King. The network helps show where Peter C. King may publish in the future.

Co-authorship network of co-authors of Peter C. King

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. King. A scholar is included among the top collaborators of Peter C. King 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 Peter C. King. Peter C. King 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.
Löhr, Hans, Alejandro Vargas-Uscategui, Peter C. King, et al.. (2025). Streamlined robotic hand–eye calibration of multiple 2D-profilers: A rapid, closed-form two-stage method via a single-plane artefact. Robotics and Computer-Integrated Manufacturing. 95. 102984–102984.
2.
Vargas-Uscategui, Alejandro, et al.. (2024). Data-Driven Overlapping-Track Profile Modeling in Cold Spray Additive Manufacturing. Journal of Thermal Spray Technology. 33(2-3). 530–539. 8 indexed citations
3.
Vargas-Uscategui, Alejandro, et al.. (2023). Microstructure and mechanical properties of heat-treated cold spray additively manufactured titanium metal matrix composites. Journal of Manufacturing Processes. 99. 12–26. 17 indexed citations
4.
Vargas-Uscategui, Alejandro, et al.. (2023). Data-Driven Overlapping Track Profile Modelling in Cold Spray Additive Manufacturing. Thermal spray. 84536. 15–21. 1 indexed citations
5.
King, Peter C., et al.. (2023). A continuous toolpath strategy from offset contours for robotic additive manufacturing. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(12). 4 indexed citations
6.
King, Peter C., Dong Mei Zhu, Russell J. Crawford, et al.. (2023). Surface Characteristics and Bone Biocompatibility of Cold-Sprayed Porous Titanium on Polydimethylsiloxane Substrates. ACS Biomaterials Science & Engineering. 9(3). 1402–1421. 8 indexed citations
7.
Biesiekierski, Arne, Christopher C. Berndt, Peter C. King, et al.. (2022). Multifunctional cold spray coatings for biological and biomedical applications: A review. Progress in Surface Science. 97(2). 100654–100654. 55 indexed citations
8.
Wilson, Robert, Shiqin Yan, Christian Doblin, et al.. (2021). Additive manufacturing, the path to industrialisation at CSIRO. Australian Journal of Mechanical Engineering. 19(5). 618–629. 1 indexed citations
9.
Vargas-Uscategui, Alejandro, et al.. (2021). Data-Efficient Neural Network for Track Profile Modelling in Cold Spray Additive Manufacturing. Applied Sciences. 11(4). 1654–1654. 28 indexed citations
10.
Vargas-Uscategui, Alejandro, et al.. (2021). Toolpath planning for cold spray additively manufactured titanium walls and corners: Effect on geometry and porosity. Journal of Materials Processing Technology. 298. 117272–117272. 38 indexed citations
11.
Vargas-Uscategui, Alejandro, et al.. (2020). Interactive online visualization for cold spray additive manufacture of titanium walls and square corners. CSIRO. 1 indexed citations
12.
Faizan‐Ur‐Rab, Muhammad, Saden H. Zahiri, Peter C. King, et al.. (2017). Utilization of Titanium Particle Impact Location to Validate a 3D Multicomponent Model for Cold Spray Additive Manufacturing. Journal of Thermal Spray Technology. 26(8). 1874–1887. 12 indexed citations
13.
Vucko, Matthew J., Peter C. King, A. Poole, et al.. (2014). Assessing the antifouling properties of cold-spray metal embedment using loading density gradients of metal particles. Biofouling. 30(6). 651–666. 19 indexed citations
14.
Vucko, Matthew J., Peter C. King, A. Poole, et al.. (2012). Cold spray metal embedment: an innovative antifouling technology. Biofouling. 28(3). 239–248. 61 indexed citations
15.
King, Peter C., Gyuyeol Bae, Saden H. Zahiri, Mahnaz Jahedi, & Changhee Lee. (2009). An Experimental and Finite Element Study of Cold Spray Copper Impact onto Two Aluminum Substrates. Journal of Thermal Spray Technology. 19(3). 620–634. 169 indexed citations
16.
King, Peter C., Saden H. Zahiri, & M. Jahedi. (2008). Focused ion beam micro-dissection of cold-sprayed particles. Acta Materialia. 56(19). 5617–5626. 99 indexed citations
17.
Williams, Jason, et al.. (2006). Effects of residual surface stress and tempering on the fatigue behavior of Ancorsteel 4300. 101–109. 1 indexed citations
18.
King, Peter C., et al.. (2005). Ammonia dissociation in the fluidised bed furnace. Deakin Research Online (Deakin University). 29. 98–102. 1 indexed citations
19.
King, Peter C., et al.. (2005). Pin on disc wear investigation of nitrocarburised H13 tool steel. Surface Engineering. 21(2). 99–106. 10 indexed citations
20.
King, Peter C., et al.. (2004). Fluidized Bed CrN Coating Formation on Prenitrocarburized Plain Carbon Steel. Journal of Materials Engineering and Performance. 13(4). 431–438. 20 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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