Ian Pillinger

47 papers receiving 701 citations

Peers

Ian Pillinger
Comparison fields: 5 of 31
  • Mechanical Engineering 643
  • Mechanics of Materials 157
  • Industrial and Manufacturing Engineering 25
  • Computational Mechanics 32
  • Civil and Structural Engineering 31
Replace Jie-Sheng Chen with:
Jie-Sheng Chen China
Wan‐Jin Chung South Korea
Carl Labergère France
Apostolos P. Karafillis United States
T. D. Marusich United States
N.R. Chitkara United Kingdom
C.H. Lee United States
J. Anders Holmberg Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Ian Pillinger

Since Specialization
Citations

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

Fields of papers citing papers by Ian Pillinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ian Pillinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Pillinger Line = papers co-authored together Ian Pillinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199191
2 200681
3 199857
4 200452
5 199438
6
Numerical Modelling of Material Deformation Processes: Research, Development, and Applications
199234
7 199632
8 200231
9 198630
10 198525
11 199225
12 198823
13 200023
14
The Prediction of Ductile Fracture Initiation in Metalforming Using a Finite-Element Method and Various Fracture Criteria
198919
15 200313
16 198512
17 199112
18 199612
19 199210
20 199710

About Ian Pillinger

Ian Pillinger is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials, Computational Mechanics and Artificial Intelligence, having authored 51 papers that have together received 734 indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (45 papers), Manufacturing Process and Optimization (5 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Metallurgy and Material Forming (2 papers), Structural Load-Bearing Analysis (1 paper), Metallurgical Processes and Thermodynamics (1 paper), Elasticity and Material Modeling (1 paper) and Industrial Technology and Control Systems (1 paper). The work is most often cited by research in Mechanical Engineering (643 citations), Mechanics of Materials (157 citations), Industrial and Manufacturing Engineering (25 citations), Computational Mechanics (32 citations) and Civil and Structural Engineering (31 citations). Ian Pillinger has collaborated with scholars based in United Kingdom, Belgium and Saudi Arabia. Frequent co-authors include P. Hartley, C. E. N. Sturgess, G. W. Rowe, Faramarz FERESHTEH-SANIEE, Frank R. Hall, Hiroshi Utsunomiya, Albert Van Bael, Hu Zhang, Ali M. Al-Samhan and Etienne Aernoudt. Their work appears in journals such as Journal of Materials Processing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, International Journal of Mechanical Sciences, International Journal for Numerical Methods in Engineering and Thin-Walled Structures.

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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