William Ion

60 papers receiving 610 citations

Peers

William Ion
Comparison fields: 5 of 118
  • Industrial and Manufacturing Engineering 114
  • Management of Technology and Innovation 75
  • Architecture 14
  • Computer Science Applications 45
  • Mechanical Engineering 304
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Jacquelyn Nagel United States
Carlye Lauff United States
Tahira Reid United States
Jessica Menold United States
Andrew Wodehouse United Kingdom
Maria Grazia Violante Italy
Bradley Camburn Singapore
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Citations per year

Countries citing papers authored by William Ion

Since Specialization
Citations

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

Fields of papers citing papers by William Ion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005124
2 2017110
3 201837
4
Online collaborative design projects: overcoming barriers to communication
200131
5
Information use in conceptual design : existing taxonomies and new approaches
201030
6 201826
7 201122
8 200519
9 202119
10 201816
11 200015
12 201215
13
TikiWiki: a tool to support engineering design students in concept generation
200415
14 200714
15
Proceedings of NordDesign 2008 Conference
200814
16 200713
17 201712
18 20089
19 20088
20 20108

About William Ion

William Ion is a scholar working on Mechanical Engineering, Mechanics of Materials, Media Technology, Experimental and Cognitive Psychology and Computer Science Applications, having authored 65 papers that have together received 684 indexed citations. Recurring topics across this work include Design Education and Practice (25 papers), Engineering Education and Curriculum Development (8 papers), Creativity in Education and Neuroscience (8 papers), Open Education and E-Learning (7 papers), Metallurgy and Material Forming (6 papers), Manufacturing Process and Optimization (5 papers), Advanced Surface Polishing Techniques (5 papers) and Metal and Thin Film Mechanics (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), Management of Technology and Innovation (75 citations), Architecture (14 citations), Computer Science Applications (45 citations) and Mechanical Engineering (304 citations). William Ion has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Andrew Wodehouse, William Spence, Hilary Grierson, Stephen Marshall, Paul Murray, Evgenia Yakushina, Neal P. Juster, Erfu Yang, Gillian Hatcher and Barbara Simpson. Their work appears in journals such as Artificial intelligence for engineering design analysis and manufacturing, British Journal of Educational Technology, Creativity and Innovation Management, International journal of engineering education and Materials & Design.

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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