Christopher McComb

2.3k total citations
164 papers, 1.4k citations indexed

About

Christopher McComb is a scholar working on Mechanical Engineering, Management of Technology and Innovation and Social Psychology. According to data from OpenAlex, Christopher McComb has authored 164 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Mechanical Engineering, 36 papers in Management of Technology and Innovation and 30 papers in Social Psychology. Recurrent topics in Christopher McComb's work include Design Education and Practice (64 papers), Product Development and Customization (31 papers) and BIM and Construction Integration (22 papers). Christopher McComb is often cited by papers focused on Design Education and Practice (64 papers), Product Development and Customization (31 papers) and BIM and Construction Integration (22 papers). Christopher McComb collaborates with scholars based in United States, Ecuador and Italy. Christopher McComb's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Environmental Research Letters.

In The Last Decade

Christopher McComb

154 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher McComb United States 19 652 314 299 265 171 164 1.4k
Gaetano Cascini Italy 19 739 1.1× 480 1.5× 299 1.0× 146 0.6× 204 1.2× 149 1.4k
Alex Duffy United Kingdom 23 743 1.1× 540 1.7× 439 1.5× 153 0.6× 265 1.5× 135 1.8k
Udo Kannengiesser Austria 14 758 1.2× 477 1.5× 410 1.4× 112 0.4× 216 1.3× 53 1.3k
David G. Ullman United States 17 773 1.2× 409 1.3× 334 1.1× 87 0.3× 189 1.1× 39 1.2k
Shana Smith Taiwan 21 341 0.5× 283 0.9× 662 2.2× 151 0.6× 53 0.3× 73 1.6k
Chris Snider United Kingdom 13 339 0.5× 191 0.6× 1.0k 3.5× 62 0.2× 82 0.5× 88 1.9k
Qianli Xu Singapore 16 172 0.3× 321 1.0× 160 0.5× 295 1.1× 115 0.7× 85 1.2k
Wolfgang Beitz Germany 12 1.1k 1.7× 778 2.5× 763 2.6× 85 0.3× 125 0.7× 20 1.9k
Ming‐Chuan Chiu Taiwan 25 152 0.2× 291 0.9× 353 1.2× 115 0.4× 35 0.2× 79 1.4k
Stuart Pugh United Kingdom 8 603 0.9× 504 1.6× 260 0.9× 96 0.4× 117 0.7× 15 1.2k

Countries citing papers authored by Christopher McComb

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Christopher McComb

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher McComb. A scholar is included among the top collaborators of Christopher McComb 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 Christopher McComb. Christopher McComb 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.
Stump, Gary, et al.. (2025). HUVER: The HyForm Uncrewed Vehicle Engineering Repository. Journal of Mechanical Design. 147(4). 1 indexed citations
2.
Narra, Sneha Prabha, et al.. (2025). Enforcing the principle of locality for physical simulations with neural operators. Journal of Computational Physics. 538. 114131–114131.
3.
Ahmed, Faez, Wei Chen, Christopher McComb, et al.. (2025). Special Issue: Design by Data: Cultivating Datasets for Engineering Design. Journal of Mechanical Design. 147(4). 1 indexed citations
4.
5.
McComb, Christopher, et al.. (2024). Taylor series error correction network for super-resolution of discretized partial differential equation solutions. Journal of Computational Physics. 521. 113569–113569. 1 indexed citations
6.
Narra, Sneha Prabha, et al.. (2024). Data-driven inpainting for full-part temperature monitoring in additive manufacturing. Journal of Manufacturing Systems. 77. 558–575. 2 indexed citations
7.
Meisel, Nicholas A., Sarah Ritter, Christopher McComb, & Jessica Menold. (2024). Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design. Papers on Engineering Education Repository (American Society for Engineering Education).
8.
McComb, Christopher, et al.. (2024). Student and Instructor Reflections on Integrating Short Mindfulness-Based Meditation Practices into a First-Year Engineering Design Course. Papers on Engineering Education Repository (American Society for Engineering Education).
9.
Simpson, Timothy W., et al.. (2023). Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data. Journal of Computing and Information Science in Engineering. 24(1). 19 indexed citations
10.
McComb, Christopher, et al.. (2023). Skeleton-based Human Action Recognition in a Thermal Comfort Context. 377–384. 5 indexed citations
11.
McComb, Christopher, et al.. (2023). Investigating the relationship between mindfulness, stress and creativity in introductory engineering design. Design Science. 9. 3 indexed citations
12.
Alessa, Lilian, James Valentine, Christopher McComb, et al.. (2023). Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security. SHILAP Revista de lepidopterología. 3(3). 522–542. 6 indexed citations
13.
McComb, Christopher, Peter Boatwright, & Jonathan Cagan. (2023). FOCUS AND MODALITY: DEFINING A ROADMAP TO FUTURE AI-HUMAN TEAMING IN DESIGN. Proceedings of the Design Society. 3. 1905–1914. 6 indexed citations
14.
Xiao, Ming, et al.. (2023). Arctic coastal hazard assessment considering permafrost thaw subsidence, coastal erosion, and flooding. Environmental Research Letters. 18(10). 104003–104003. 10 indexed citations
15.
McComb, Christopher, et al.. (2023). Uncovering potential bias in engineering design: a comparative review of bias research in medicine. Design Science. 9. 3 indexed citations
16.
Song, Binyang, Guanglu Zhang, Gary Stump, et al.. (2022). Decoding the agility of artificial intelligence-assisted human design teams. Design Studies. 79. 101094–101094. 34 indexed citations
17.
Xiao, Ming, Louise Farquharson, Dmitry Nicolsky, et al.. (2022). Understanding Effects of Permafrost Degradation and Coastal Erosion on Civil Infrastructure in Arctic Coastal Villages: A Community Survey and Knowledge Co-Production. Journal of Marine Science and Engineering. 10(3). 422–422. 17 indexed citations
18.
Menold, Jessica, et al.. (2022). The Relationship Between Performance and Trust in AI in E-Finance. Frontiers in Artificial Intelligence. 5. 891529–891529. 14 indexed citations
19.
Tan, Xiaomei, et al.. (2020). Towards Enhanced Creativity in Interface Design through Automated Usability Evaluation.. ICCC. 366–369. 7 indexed citations
20.
McComb, Christopher, Jonathan Cagan, & Kenneth Kotovsky. (2016). Drawing Inspiration From Human Design Teams for Better Search and Optimization: The Heterogeneous Simulated Annealing Teams Algorithm. Journal of Mechanical Design. 138(4). 13 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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