Adrian Murphy

2.9k total citations
169 papers, 2.2k citations indexed

About

Adrian Murphy is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Adrian Murphy has authored 169 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Mechanical Engineering, 49 papers in Industrial and Manufacturing Engineering and 38 papers in Mechanics of Materials. Recurrent topics in Adrian Murphy's work include Manufacturing Process and Optimization (45 papers), Mechanical Behavior of Composites (21 papers) and Lightning and Electromagnetic Phenomena (21 papers). Adrian Murphy is often cited by papers focused on Manufacturing Process and Optimization (45 papers), Mechanical Behavior of Composites (21 papers) and Lightning and Electromagnetic Phenomena (21 papers). Adrian Murphy collaborates with scholars based in United Kingdom, Canada and United States. Adrian Murphy's co-authors include Mark Price, Gasser Abdelal, Damian Quinn, Joseph Butterfield, John Harrison, Charlie Farrell, Adam Gibson, David W. Rooney, Rory Doherty and Xiaolei Zhang and has published in prestigious journals such as Physical Review Letters, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

Adrian Murphy

156 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Murphy United Kingdom 26 809 570 499 418 329 169 2.2k
Paweł Ocłoń Poland 28 980 1.2× 78 0.1× 230 0.5× 77 0.2× 463 1.4× 122 2.3k
Mayorkinos Papaelias United Kingdom 26 1.6k 2.0× 881 1.5× 827 1.7× 20 0.0× 396 1.2× 104 2.9k
Li Tian China 27 244 0.3× 158 0.3× 1.4k 2.9× 102 0.2× 119 0.4× 173 2.1k
Taher Abu-Lebdeh United States 31 318 0.4× 138 0.2× 773 1.5× 176 0.4× 54 0.2× 102 2.0k
T. Mukhopadhyay India 45 1.9k 2.3× 2.0k 3.5× 2.4k 4.8× 46 0.1× 104 0.3× 154 5.1k
L. Romeral Spain 34 1.4k 1.7× 478 0.8× 197 0.4× 35 0.1× 3.2k 9.6× 174 5.0k
Jie Wang China 28 1.1k 1.4× 504 0.9× 1.4k 2.8× 16 0.0× 127 0.4× 246 3.0k
D. Todd Griffith United States 20 308 0.4× 249 0.4× 471 0.9× 12 0.0× 171 0.5× 131 1.8k
Annette von Jouanne United States 38 813 1.0× 70 0.1× 108 0.2× 158 0.4× 5.4k 16.4× 170 6.7k
Tuan Ngoc Nguyen Australia 25 334 0.4× 914 1.6× 1.3k 2.6× 9 0.0× 275 0.8× 60 3.1k

Countries citing papers authored by Adrian Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Murphy. A scholar is included among the top collaborators of Adrian Murphy 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 Adrian Murphy. Adrian Murphy 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.
Armstrong, Cecil, et al.. (2024). Efficient methods to build structural performance envelopes in characteristic load space. Computers & Structures. 306. 107595–107595.
2.
Sterling, Julie A., et al.. (2024). Composite structure failure analysis post Lithium-Ion battery fire. Engineering Failure Analysis. 160. 108163–108163. 8 indexed citations
3.
Atkinson, Gary A., et al.. (2024). Design and evaluation of a novel variable-length stepped scarf repair technique using a cohesive damage model. International Journal of Adhesion and Adhesives. 136. 103886–103886. 3 indexed citations
4.
Murphy, Adrian, et al.. (2023). Steps towards a Connected Digital Factory Cost Model. SAE International Journal of Advances and Current Practices in Mobility. 5(5). 1885–1899. 2 indexed citations
5.
Butterfield, Joseph, et al.. (2023). Machine Learning Methods to Improve the Accuracy of Industrial Robots. SAE International Journal of Advances and Current Practices in Mobility. 5(5). 1900–1918. 4 indexed citations
6.
Xu, Xiaodong, et al.. (2023). Towards a virtual test framework to predict residual compressive strength after lightning strikes. Composites Part A Applied Science and Manufacturing. 174. 107712–107712. 13 indexed citations
7.
Viswanathan, V., Nadimul Haque Faisal, Iñigo Llavori, et al.. (2023). Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturing. Mechanical Systems and Signal Processing. 208. 111030–111030. 2 indexed citations
8.
Kumar, Vipin, et al.. (2023). The Influence of Carbon Fiber Composite Specimen Design Parameters on Artificial Lightning Strike Current Dissipation and Material Thermal Damage. SAE International Journal of Aerospace. 16(2). 231–246. 7 indexed citations
9.
Robinson, Trevor, et al.. (2023). Post-processing feature-mapping topology optimisation designs towards feature-based CAD processing. Structural and Multidisciplinary Optimization. 66(11). 2 indexed citations
10.
Xu, Xiaodong, Juhyeong Lee, Gasser Abdelal, et al.. (2023). Developing Test Methods for Compression after Lightning Strikes. Applied Composite Materials. 30(2). 539–556. 7 indexed citations
12.
Butterfield, Joseph, et al.. (2022). A New Multi-Objective Genetic Algorithm for Assembly Line Balancing. Journal of Computing and Information Science in Engineering. 23(3). 2 indexed citations
13.
Farrell, Charlie, Ahmed I. Osman, John Harrison, et al.. (2021). Pyrolysis Kinetic Modeling of a Poly(ethylene-co-vinyl acetate) Encapsulant Found in Waste Photovoltaic Modules. Industrial & Engineering Chemistry Research. 60(37). 13492–13504. 31 indexed citations
14.
Goel, Saurav, Michael H. Knaggs, Gaurav Goel, et al.. (2020). Horizons of modern molecular dynamics simulation in digitalized solid freeform fabrication with advanced materials. Materials Today Chemistry. 18. 100356–100356. 22 indexed citations
15.
Farrell, Charlie, Ahmed I. Osman, Xiaolei Zhang, et al.. (2019). Assessment of the energy recovery potential of waste Photovoltaic (PV) modules. Scientific Reports. 9(1). 5267–5267. 89 indexed citations
16.
Murphy, Adrian, et al.. (2019). Coupled Thermal-Mechanical Progressive Damage Model with Strain and Heating Rate Effects for Lightning Strike Damage Assessment. Applied Composite Materials. 26(5-6). 1437–1459. 32 indexed citations
17.
Murphy, Adrian, et al.. (2018). Simulating the impact of external demand and capacity constraints in aerospace supply chains. Winter Simulation Conference. 3108–3119.
18.
Quinn, Damian, et al.. (2011). IMPACT OF COMPOSITE MANUFACTURING CONSTRAINTS ON AEROSPACE STIFFENED PANEL DESIGN. Research Portal (Queen's University Belfast). 2 indexed citations
19.
Pedregosa-Gutierrez, J., J. B. Greenwood, Adrian Murphy, et al.. (2004). Evidence for Rescattering in Intense, Femtosecond Laser Interactions with a Negative Ion. Physical Review Letters. 93(22). 223001–223001. 20 indexed citations
20.
Murphy, Adrian, et al.. (1960). Temperature Effects on Material Characteristics. CERES (Cranfield University). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026