Chris Sutcliffe

4.7k total citations
84 papers, 3.8k citations indexed

About

Chris Sutcliffe is a scholar working on Mechanical Engineering, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Chris Sutcliffe has authored 84 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Mechanical Engineering, 35 papers in Automotive Engineering and 24 papers in Computational Mechanics. Recurrent topics in Chris Sutcliffe's work include Additive Manufacturing Materials and Processes (42 papers), Additive Manufacturing and 3D Printing Technologies (35 papers) and Laser Material Processing Techniques (18 papers). Chris Sutcliffe is often cited by papers focused on Additive Manufacturing Materials and Processes (42 papers), Additive Manufacturing and 3D Printing Technologies (35 papers) and Laser Material Processing Techniques (18 papers). Chris Sutcliffe collaborates with scholars based in United Kingdom, United States and Malaysia. Chris Sutcliffe's co-authors include W O’Neill, Peter Fox, I. Owen, E. Jones, S. Tsopanos, Matthew Wong, R.P. Morgan, W.J. Cantwell, S. McKown and Yiou Shen and has published in prestigious journals such as Biomaterials, ACS Applied Materials & Interfaces and International Journal of Heat and Mass Transfer.

In The Last Decade

Chris Sutcliffe

77 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Sutcliffe United Kingdom 34 3.1k 2.0k 574 560 443 84 3.8k
Marleen Rombouts Belgium 21 3.3k 1.1× 2.5k 1.3× 471 0.8× 360 0.6× 492 1.1× 45 3.9k
Niranjan D. Parab United States 30 4.3k 1.4× 2.5k 1.3× 437 0.8× 743 1.3× 724 1.6× 72 5.0k
Brandon Lane United States 33 2.8k 0.9× 1.8k 0.9× 361 0.6× 308 0.6× 380 0.9× 94 3.3k
Peter Mercelis Belgium 14 4.1k 1.3× 3.2k 1.6× 534 0.9× 422 0.8× 467 1.1× 21 4.8k
Changhui Song China 30 3.2k 1.0× 2.0k 1.0× 509 0.9× 228 0.4× 636 1.4× 113 3.8k
Ina Yadroitsava South Africa 29 4.4k 1.4× 3.0k 1.5× 712 1.2× 328 0.6× 708 1.6× 60 4.9k
Cang Zhao United States 27 5.0k 1.6× 3.0k 1.5× 457 0.8× 837 1.5× 632 1.4× 55 5.4k
Ali Gökhan Demir Italy 40 3.8k 1.2× 2.0k 1.0× 914 1.6× 721 1.3× 1.1k 2.6× 186 5.1k
Barbara Previtali Italy 42 4.3k 1.4× 1.8k 0.9× 974 1.7× 930 1.7× 1.3k 3.0× 253 5.7k
Frederik Verhaeghe Belgium 16 2.9k 1.0× 1.6k 0.8× 382 0.7× 451 0.8× 886 2.0× 33 3.4k

Countries citing papers authored by Chris Sutcliffe

Since Specialization
Citations

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

Fields of papers citing papers by Chris Sutcliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Sutcliffe

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Sutcliffe. A scholar is included among the top collaborators of Chris Sutcliffe 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 Chris Sutcliffe. Chris Sutcliffe 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
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Khanbolouki, Pouria, et al.. (2024). In situ measurements and simulation of residual stresses and deformations in additively manufactured thin plates. The International Journal of Advanced Manufacturing Technology. 132(7-8). 4055–4068. 2 indexed citations
3.
Sutcliffe, Chris, et al.. (2019). Automatic fault detection for laser powder-bed fusion using semi-supervised machine learning. Additive manufacturing. 27. 42–53. 161 indexed citations
4.
Mehraban, Shahin, et al.. (2018). A pragmatic continuum level model for the prediction of the onset of keyholing in laser powder bed fusion. The International Journal of Advanced Manufacturing Technology. 101(1-4). 697–714. 18 indexed citations
5.
Geng, Hua, Gowsihan Poologasundarampillai, Katie L. Moore, et al.. (2017). Biotransformation of Silver Released from Nanoparticle Coated Titanium Implants Revealed in Regenerating Bone. ACS Applied Materials & Interfaces. 9(25). 21169–21180. 41 indexed citations
6.
Najafian, G., et al.. (2014). The effects of wave–current interaction on the performance of a model horizontal axis tidal turbine. Lincoln Repository (University of Lincoln). 8. 17–35. 62 indexed citations
7.
Zhang, Zeqi, D. H. Jones, Sheng Yue, et al.. (2013). Hierarchical tailoring of strut architecture to control permeability of additive manufactured titanium implants. Materials Science and Engineering C. 33(7). 4055–4062. 82 indexed citations
8.
Brkić, Boris, et al.. (2009). Development of quadrupole mass spectrometers using rapid prototyping technology. Journal of the American Society for Mass Spectrometry. 20(7). 1359–1365. 31 indexed citations
9.
Fox, Peter, et al.. (2008). Interface interactions between porous titanium/tantalum coatings, produced by Selective Laser Melting (SLM), on a cobalt–chromium alloy. Surface and Coatings Technology. 202(20). 5001–5007. 64 indexed citations
10.
Celotto, S., et al.. (2007). Influence of microsupersonic gas jets on nanosecond laser percussion drilling. Optics and Lasers in Engineering. 45(6). 709–718. 25 indexed citations
11.
Hauser, Carl, et al.. (2007). Image Transformations and Printing of Plaster Layers in Spiral Growth Manufacturing. Texas Digital Library (University of Texas). 1 indexed citations
12.
Sutcliffe, Chris, Joanna M. Wardlaw, Martin Connell, et al.. (2007). Anatomical flow phantoms of the nonplanar carotid bifurcation, Part I: Computer-aided design and fabrication. Ultrasound in Medicine & Biology. 33(2). 296–302. 26 indexed citations
13.
Brooks, W., et al.. (2006). Crush Behaviour Of Open Cellular LatticeStructures Manufactured UsingSelective Laser Melting. WIT transactions on the built environment. 85. 481–490. 38 indexed citations
14.
Sutcliffe, Chris, et al.. (2006). Crush behaviour of open cellular lattice structures manufactured using selective laser melting. WIT transactions on the built environment. 1. 481–490. 53 indexed citations
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16.
Morgan, R.P., et al.. (2001). Direct metal laser re-melting (DMLR) of 316L stainless steel powder. Part 1:Analysis of thin wall structures. Cambridge University Engineering Department Publications Database. 5 indexed citations
17.
Morgan, R.P., et al.. (2001). Fabrication of metal components by direct metal laser re-melting (DMLR). Cambridge University Engineering Department Publications Database. 1 indexed citations
18.
O’Neill, W, et al.. (2001). Micromachining of copper using Nd:YAG laser radiation at 1064, 532, and 355 nm wavelengths. Optics & Laser Technology. 33(3). 135–143. 74 indexed citations
19.
20.
Escudier, M. P., et al.. (1998). Laminarisation and re-transition of a turbulent boundary layer subjected to favourable pressure gradient. Experiments in Fluids. 25(5-6). 491–502. 34 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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