Dan Muse
Impact in
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies
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- Manufacturing Process and Optimization
Papers in
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- Additive Manufacturing and 3D Printing Technologies 6
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- Advanced Materials and Mechanics 2
- Modular Robots and Swarm Intelligence 1
- Co-authors
- Eric MacDonald (8 shared papers)Ryan B. Wicker (7 shared papers)David Espalin (3 shared papers)Mireya A. Perez (1 shared paper)Jorge Ramos‐Grez (1 shared paper)Francisco Medina (1 shared paper)César A. Terrazas (1 shared paper)Emmanuel Rodriguez (1 shared paper)
- Journals
- IEEE Access (1 paper)Digital Commons - USU (Utah State University) (1 paper)Texas Digital Library (University of Texas) (4 papers)IMAPSource Proceedings (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Dan Muse
8 papers receiving 664 citations
Dan Muse's Hit Papers
Peers
Comparison fields: 5 of 73
- Automotive Engineering 459
- Industrial and Manufacturing Engineering 119
- Human-Computer Interaction 49
- Mechanical Engineering 256
- Biomedical Engineering 264
Countries citing papers authored by Dan Muse
This map shows the geographic impact of Dan Muse'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 Dan Muse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Muse more than expected).
Fields of papers citing papers by Dan Muse
This network shows the impact of papers produced by Dan Muse. 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 Dan Muse. The network helps show where Dan Muse may publish in the future.
Co-authors
The 13 scholars most cited alongside Dan Muse, 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 | 3D Printing for the Rapid Prototyping of Structural Electronics Hit paper breakdown → | 2014 | 489 |
| 2 | 2013 | 63 | |
| 3 | 2012 | 62 | |
| 4 | 2011 | 27 | |
| 5 | 2009 | 26 | |
| 6 | 2008 | 19 | |
| 7 | 2010 | 12 | |
| 8 | Enabling Technologies for Entrepreneurial Opportunities in 3D printing of SmallSats | 2014 | 2 |
About Dan Muse
Dan Muse is a scholar working on Automotive Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 8 papers that have together received 700 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (3 papers), Advanced Materials and Mechanics (2 papers), Interactive and Immersive Displays (1 paper), Advanced Sensor Technologies Research (1 paper), Modular Robots and Swarm Intelligence (1 paper), Neuroscience and Neural Engineering (1 paper) and Thermography and Photoacoustic Techniques (1 paper). The work is most often cited by research in Automotive Engineering (459 citations), Industrial and Manufacturing Engineering (119 citations), Human-Computer Interaction (49 citations), Mechanical Engineering (256 citations) and Biomedical Engineering (264 citations). Dan Muse has collaborated with scholars based in United States and Canada. Frequent co-authors include Eric MacDonald, Ryan B. Wicker, David Espalin, Mireya A. Perez, Jorge Ramos‐Grez, Francisco Medina, César A. Terrazas, Emmanuel Rodriguez, Frank Medina and Kenneth Church. Their work appears in journals such as IEEE Access, Digital Commons - USU (Utah State University), Texas Digital Library (University of Texas) and IMAPSource Proceedings.
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.