Chris Snider

3.2k citations
91 papers · 2.0k · 1 hit paper · h-index 13

Impact in

Papers in

Chris Snider

83 papers receiving 2.0k citations

Chris Snider's Hit Papers

Characterising the Digital Twin: A systematic literature review 2020 · 1.4k citations
1.4k0+2+4Years since publication4008001.2k

Peers

Chris Snider
Comparison fields: 5 of 143
  • Industrial and Manufacturing Engineering 1.1k
  • Management of Technology and Innovation 198
  • Human-Computer Interaction 133
  • Safety, Risk, Reliability and Quality 176
  • Medical Laboratory Technology 20
Replace Sang Do Noh with:
Sang Do Noh South Korea
Qingjin Peng Canada
Margherita Peruzzini Italy
Jason Yon United Kingdom
Rainer Stark Germany
Baicun Wang China
He Zhang China
Yuansong Qiao Ireland
Paula Fraga‐Lamas Spain
Chris Snider relative to Sang Do Noh South Korea Sang Do Noh's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Chris Snider, 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 Chris Snider Line = papers co-authored together Chris Snider links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterising the Digital Twin: A systematic literature review
Hit paper breakdown →
20201387
2 202178
3
DS 84: Proceedings of the DESIGN 2016 14th International Design Conference
201649
4 201932
5 201830
6 201929
7 201329
8 201429
9 201617
10 201817
11 201815
12 201613
13 202013
14 201912
15 201711
16
Understanding the Engineering Design Process through the Evolution of Engineering Digital Objects
201411
17 201911
18
Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3
201511
19 202110
20
Computer aided design user interaction as a sensor for monitoring engineers and the engineering design process
201610

About Chris Snider

Chris Snider is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Management of Technology and Innovation, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Design Education and Practice (37 papers), Manufacturing Process and Optimization (29 papers), Product Development and Customization (25 papers), Digital Transformation in Industry (11 papers), Creativity in Education and Neuroscience (10 papers), Augmented Reality Applications (9 papers), Flexible and Reconfigurable Manufacturing Systems (7 papers) and Additive Manufacturing and 3D Printing Technologies (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Management of Technology and Innovation (198 citations), Human-Computer Interaction (133 citations), Safety, Risk, Reliability and Quality (176 citations) and Medical Laboratory Technology (20 citations). Chris Snider has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ben Hicks, Aydin Nassehi, David Jones, Jason Yon, James Gopsill, Elies Dekoninck, Steve Culley, Philip Cash, Charlie Ranscombe and Stanko Škec. Their work appears in journals such as Design Studies, Design Science, Journal of Engineering Design, Artificial intelligence for engineering design analysis and manufacturing and Computers in Industry.

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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