Joseph Butterfield

916 total citations
76 papers, 651 citations indexed

About

Joseph Butterfield is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Joseph Butterfield has authored 76 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Industrial and Manufacturing Engineering, 20 papers in Mechanical Engineering and 13 papers in Automotive Engineering. Recurrent topics in Joseph Butterfield's work include Manufacturing Process and Optimization (40 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Product Development and Customization (9 papers). Joseph Butterfield is often cited by papers focused on Manufacturing Process and Optimization (40 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Product Development and Customization (9 papers). Joseph Butterfield collaborates with scholars based in United Kingdom, Canada and Netherlands. Joseph Butterfield's co-authors include Adrian Murphy, Richard Curran, Mark Price, Cathy Craig, Gareth Watson, Cecil Armstrong, Young Mo Kang, Colm Higgins, Jörg J. Goronzy and Yong Wook Park and has published in prestigious journals such as American Journal Of Pathology, International Journal of Production Economics and Journal of Applied Polymer Science.

In The Last Decade

Joseph Butterfield

71 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Butterfield United Kingdom 13 205 184 120 67 66 76 651
Xin Guo China 18 100 0.5× 261 1.4× 129 1.1× 24 0.4× 27 0.4× 98 982
Marco Mandolini Italy 19 539 2.6× 273 1.5× 139 1.2× 29 0.4× 45 0.7× 123 1.2k
A.K. Singh India 20 124 0.6× 306 1.7× 27 0.2× 74 1.1× 10 0.2× 77 1.1k
Karl-Heinrich Grote Germany 8 462 2.3× 626 3.4× 442 3.7× 105 1.6× 114 1.7× 14 1.3k
Yvan Petit Canada 24 33 0.2× 117 0.6× 113 0.9× 31 0.5× 47 0.7× 158 2.6k
Mohd Suhaib India 14 228 1.1× 272 1.5× 53 0.4× 124 1.9× 26 0.4× 57 1.1k
Martin Arvidsson Sweden 13 115 0.6× 146 0.8× 112 0.9× 18 0.3× 32 0.5× 25 743
Miguel Ángel Sebastián Pérez Spain 23 456 2.2× 695 3.8× 92 0.8× 78 1.2× 92 1.4× 171 1.9k
Jan Schmitt Germany 25 155 0.8× 127 0.7× 25 0.2× 76 1.1× 12 0.2× 118 1.8k
Wanshan Wang China 21 153 0.7× 877 4.8× 44 0.4× 71 1.1× 27 0.4× 169 1.6k

Countries citing papers authored by Joseph Butterfield

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Butterfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Butterfield

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Butterfield. A scholar is included among the top collaborators of Joseph Butterfield 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 Joseph Butterfield. Joseph Butterfield 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.
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
2.
Martin, Peter, et al.. (2022). Densification of fibre-reinforced composite polymers under rotational moulding conditions. Plastics Rubber and Composites Macromolecular Engineering. 51(8). 423–435. 3 indexed citations
3.
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
4.
Jin, Yan, et al.. (2020). Motion control for uniaxial rotational molding. Journal of Applied Polymer Science. 138(8). 7 indexed citations
5.
Martin, Peter, et al.. (2020). Sintering and Densification of Fibre Reinforcement in Polymers during Rotational Moulding. Procedia Manufacturing. 47. 980–986. 12 indexed citations
6.
Murphy, Adrian, et al.. (2018). Simulating the impact of external demand and capacity constraints in aerospace supply chains. Winter Simulation Conference. 3108–3119.
7.
McCourt, Mark, et al.. (2018). The development of thermoplastic fibre based reinforcements for the rotational moulding process. AIP conference proceedings. 1960. 120002–120002.
8.
Murphy, Adrian, et al.. (2018). SIMULATING THE IMPACT OF EXTERNAL DEMAND AND CAPACITY CONSTRAINTS IN AEROSPACE SUPPLY CHAINS. 2018 Winter Simulation Conference (WSC). 3108–3119. 1 indexed citations
9.
Mullan, Michelle, Adrian Murphy, Damian Quinn, et al.. (2014). Modelling lay-up automation and production rate interaction on the cost of large stiffened panel components. The Aeronautical Journal. 118(1201). 275–296. 1 indexed citations
10.
Butterfield, Joseph, William S. McEwan, Pengfei Han, et al.. (2012). Digital methods for process development in manufacturing and their relevance to value driven design. Research Portal (Queen's University Belfast). 1(4). 387–400. 3 indexed citations
11.
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13.
McEwan, William S., Joseph Butterfield, Mark Price, & Adrian Murphy. (2010). Development of a Digital Methodology for Composite Process & Manufacture in Aerospace Assemblies. Research Portal (Queen's University Belfast). 2 indexed citations
14.
Watson, Gareth, Sébastien Brault, Richard Kulpa, et al.. (2010). Judging the ‘passability’ of dynamic gaps in a virtual rugby environment. Human Movement Science. 30(5). 942–956. 46 indexed citations
15.
McEwan, William S., Joseph Butterfield, Adrian Murphy, & Mark Price. (2010). Development of a Digital Methodology for Composite Process & Manufacture in Aerospace Assemblies. 1 indexed citations
16.
Butterfield, Joseph, et al.. (2010). A System Lifecycle Approach to Maintenance Planning in Aerospace Using Digital Manufacturing. 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. 2 indexed citations
17.
Butterfield, Joseph, Irene C. L. Ng, Rajkumar Roy, & William S. McEwan. (2009). Enabling value co-production in the provision of support service engineering solutions using digital manufacturing methods. Proceedings of the 2009 Winter Simulation Conference (WSC). 3009–3022. 6 indexed citations
18.
Park, Yong Wook, Young Mo Kang, Joseph Butterfield, et al.. (2004). Thrombospondin 2 Functions as an Endogenous Regulator of Angiogenesis and Inflammation in Rheumatoid Arthritis. American Journal Of Pathology. 165(6). 2087–2098. 79 indexed citations
19.
Butterfield, Joseph, et al.. (2004). Integration of Aerodynamic, Structural, Cost and Manufacturing Considerations During the Conceptual Design of a Thrust Reverser Cascade. Research Portal (Queen's University Belfast). 8 indexed citations
20.
Butterfield, Joseph, Emmanuel Bénard, Mark Price, et al.. (2003). Optimisation of a Thrust Reverser Cascade: An Assessment of Dynamic Response During Reverse Thrust. 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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