Christopher McComb
Impact in
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- Product Development and Customization
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- Manufacturing Process and Optimization
Papers in
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- Product Development and Customization 31
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- Manufacturing Process and Optimization 22
- Co-authors
- Jonathan CaganKenneth KotovskyJessica MenoldNicholas A. MeiselKathryn JablokowTimothy W. SimpsonGuanglu ZhangKosa Goucher-Lambert
- Journals
- Journal of Mechanical Design (34 papers)Journal of Computing and Information Science in Engineering (10 papers)Design Science (7 papers)Design Studies (6 papers)Artificial intelligence for engineering design analysis and manufacturing (4 papers)
- Partner nations
- United StatesEcuadorItaly
In The Last Decade
Christopher McComb
154 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Management of Technology and Innovation 314
- Industrial and Manufacturing Engineering 299
- Human-Computer Interaction 100
- Mechanical Engineering 652
- Experimental and Cognitive Psychology 171
Countries citing papers authored by Christopher McComb
This map shows the geographic impact of Christopher McComb'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 Christopher McComb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher McComb more than expected).
Fields of papers citing papers by Christopher McComb
This network shows the impact of papers produced by Christopher McComb. 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 Christopher McComb. The network helps show where Christopher McComb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher McComb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 34 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 14 | |
| 19 | Towards Enhanced Creativity in Interface Design through Automated Usability Evaluation. | 2020 | 7 |
| 20 | 2016 | 13 |
About Christopher McComb
Christopher McComb is a scholar working on Management of Technology and Innovation, Industrial and Manufacturing Engineering, Architecture, Mechanical Engineering and Building and Construction, having authored 164 papers that have together received 1.4k indexed citations. Recurring topics across this work include Design Education and Practice (64 papers), Product Development and Customization (31 papers), BIM and Construction Integration (22 papers), Manufacturing Process and Optimization (22 papers), Team Dynamics and Performance (18 papers), Creativity in Education and Neuroscience (16 papers), Additive Manufacturing and 3D Printing Technologies (15 papers) and Human-Automation Interaction and Safety (9 papers). The work is most often cited by research in Management of Technology and Innovation (314 citations), Industrial and Manufacturing Engineering (299 citations), Human-Computer Interaction (100 citations), Mechanical Engineering (652 citations) and Experimental and Cognitive Psychology (171 citations). Christopher McComb has collaborated with scholars based in United States, Ecuador and Italy. Frequent co-authors include Jonathan Cagan, Kenneth Kotovsky, Jessica Menold, Nicholas A. Meisel, Kathryn Jablokow, Timothy W. Simpson, Guanglu Zhang, Kosa Goucher-Lambert, Scarlett R. Miller and Catherine Berdanier. Their work appears in journals such as Journal of Mechanical Design, Journal of Computing and Information Science in Engineering, Design Science, Design Studies and Artificial intelligence for engineering design analysis and manufacturing.
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.