Chris Snider

3.1k total citations · 1 hit paper
88 papers, 1.9k citations indexed

About

Chris Snider is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Management of Technology and Innovation. According to data from OpenAlex, Chris Snider has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 37 papers in Industrial and Manufacturing Engineering and 26 papers in Management of Technology and Innovation. Recurrent topics in Chris Snider's work include Design Education and Practice (36 papers), Manufacturing Process and Optimization (28 papers) and Product Development and Customization (25 papers). Chris Snider is often cited by papers focused on Design Education and Practice (36 papers), Manufacturing Process and Optimization (28 papers) and Product Development and Customization (25 papers). Chris Snider collaborates with scholars based in United Kingdom, United States and Australia. Chris Snider's co-authors include Ben Hicks, Aydin Nassehi, David Jones, Jason Yon, James Gopsill, Elies Dekoninck, Steve Culley, Stanko Škec, Philip Cash and Charlie Ranscombe and has published in prestigious journals such as International Journal of Production Research, International Journal of Information Management and Frontiers in Human Neuroscience.

In The Last Decade

Chris Snider

79 papers receiving 1.9k citations

Hit Papers

Characterising the Digita... 2020 2026 2022 2024 2020 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Characterising the Digital Twin: A systematic literature review
    2020 1.3k citations David Jones, Chris Snider et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris Snider 1.0k 339 191 175 158 88 1.9k
Margherita Peruzzini 1.0k 1.0× 245 0.7× 236 1.2× 101 0.6× 71 0.4× 154 2.2k
Sang Do Noh 2.0k 1.9× 209 0.6× 224 1.2× 156 0.9× 92 0.6× 115 2.8k
Reiner Anderl 1.3k 1.2× 254 0.7× 234 1.2× 175 1.0× 107 0.7× 190 1.9k
Rainer Stark 1.3k 1.2× 396 1.2× 594 3.1× 276 1.6× 111 0.7× 195 2.6k
Stephen C.-Y. Lu 1.1k 1.1× 458 1.4× 402 2.1× 169 1.0× 139 0.9× 101 2.1k
John Ahmet Erkoyuncu 1.1k 1.1× 353 1.0× 319 1.7× 336 1.9× 169 1.1× 131 3.2k
Qingjin Peng 1.0k 1.0× 701 2.1× 487 2.5× 145 0.8× 164 1.0× 226 2.5k
Cunbo Zhuang 1.3k 1.2× 131 0.4× 114 0.6× 142 0.8× 87 0.6× 44 1.7k

Countries citing papers authored by Chris Snider

Since Specialization
Citations

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

Fields of papers citing papers by Chris Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Snider

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Snider. A scholar is included among the top collaborators of Chris Snider 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 Snider. Chris Snider 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.
Snider, Chris, et al.. (2025). A knowledge framework of environment reconstruction methods for mixed reality prototype applications. Proceedings of the Design Society. 5. 141–150.
2.
Berthoud, Lucy, et al.. (2025). Assessment of large language models for use in generative design of model based spacecraft system architectures. Journal of Engineering Design. 36(4). 550–570. 3 indexed citations
3.
Dormady, Noah, et al.. (2024). COST-EFFECTIVE BUSINESS RESILIENCE DECISION MAKING †. SSRN Electronic Journal. 1 indexed citations
4.
Gopsill, James, et al.. (2024). Data mining prototyping knowledge graphs for design process insights. Journal of Engineering Design. 36(7-9). 1222–1248. 3 indexed citations
5.
6.
Gopsill, James, et al.. (2024). Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments. Artificial intelligence for engineering design analysis and manufacturing. 38. 2 indexed citations
7.
Snider, Chris, et al.. (2023). A HIERARCHICAL MACHINE LEARNING WORKFLOW FOR OBJECT DETECTION OF ENGINEERING COMPONENTS. Proceedings of the Design Society. 3. 201–210. 2 indexed citations
8.
Gopsill, James, et al.. (2023). Maker communities and the COVID-19 pandemic: a longitudinal analysis of Thingiverse’s response to supply shortages. Royal Society Open Science. 10(9). 230790–230790. 1 indexed citations
9.
Jones, David, et al.. (2023). The prototype taxonomised: Towards the capture, curation, and integration of physical models in new product development. Computers in Industry. 155. 104059–104059. 1 indexed citations
10.
11.
Snider, Chris, et al.. (2021). Mixed reality in design prototyping: A systematic review. Design Studies. 77. 101046–101046. 68 indexed citations
12.
Gopsill, James, Chris Snider, & Ben Hicks. (2019). The emergent structures in digital engineering work: what can we learn from dynamic DSMs of near-identical systems design projects?. Design Science. 5. 5 indexed citations
13.
Snider, Chris, et al.. (2018). Engineering Project Health Management: A Computational Approach for Project Management Support Through Analytics of Digital Engineering Activity. IEEE Transactions on Engineering Management. 66(3). 325–336. 14 indexed citations
14.
Snider, Chris, Stanko Škec, James Gopsill, & Ben Hicks. (2017). The characterisation of engineering activity through email communication and content dynamics, for support of engineering project management. Design Science. 3. 11 indexed citations
15.
Snider, Chris, Elies Dekoninck, & Steve Culley. (2016). Beyond the concept: characterisations of later-stage creative behaviour in design. Research in Engineering Design. 27(3). 265–289. 13 indexed citations
16.
Gopsill, James, et al.. (2016). Computer aided design user interaction as a sensor for monitoring engineers and the engineering design process. Explore Bristol Research. 1707–1718. 9 indexed citations
17.
Gopsill, James, et al.. (2014). Towards identifying patterns in engineering documents to aid project planning. The University of Bath Online Publications Store (The University of Bath). 1873–1882. 4 indexed citations
18.
Snider, Chris, et al.. (2014). A FRAMEWORK FOR THE DEVELOPMENT OF CHARACTERISTIC SIGNATURES OF ENGINEERING PROJECTS. Bristol Research (University of Bristol). 1883–1894. 3 indexed citations
19.
Snider, Chris, Philip Cash, Elies Dekoninck, & Stephen Culley. (2012). Variation in creative behaviour during the later stages of the design process. Explore Bristol Research. 3 indexed citations
20.
Snider, Chris, Elies Dekoninck, & Stephen Culley. (2012). IMPROVING CONFIDENCE IN SMALLER DATA SETS THROUGH METHODOLOGY: THE DEVELOPMENT OF A CODING SCHEME. Explore Bristol Research. 1253–1264. 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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