Dan Muse

831 citations
8 papers · 741 · 1 hit paper · h-index 7

Impact in

Papers in

Dan Muse

8 papers receiving 701 citations

Dan Muse's Hit Papers

3D Printing for the Rapid Prototyping of Structural Electronics 2014 · 522 citations
5220+4+8Years since publication100200300400500

Peers

Dan Muse
Comparison fields: 5 of 75
  • Automotive Engineering 486
  • Industrial and Manufacturing Engineering 130
  • Human-Computer Interaction 50
  • Mechanical Engineering 273
  • Biomedical Engineering 278
Replace Mireya A. Perez with:
Mireya A. Perez United States
Á. Noriega Spain
Huachao Mao United States
Johannes Schilp Germany
Kuo-Yu Chou Taiwan
Hao Gu China
Kahraman Demir United States
Pedro José Núñez López Spain
Yonghua Chen Hong Kong
Dan Muse relative to Mireya A. Perez United States Mireya A. Perez's profile →
Citations per field
00.5×1.5×
Mireya A. Perez · 1×
Citations per year

Countries citing papers authored by Dan Muse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 14 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.

Border = papers with Dan Muse Line = papers co-authored together Dan Muse links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
3D Printing for the Rapid Prototyping of Structural Electronics
Hit paper breakdown →
2014522
2 201367
3 201265
4 201127
5 200927
6 200819
7 201012
8
Enabling Technologies for Entrepreneurial Opportunities in 3D printing of SmallSats
20142

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 741 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), Injection Molding Process and Properties (1 paper), Neuroscience and Neural Engineering (1 paper), 3D IC and TSV technologies (1 paper), Interactive and Immersive Displays (1 paper) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Automotive Engineering (486 citations), Industrial and Manufacturing Engineering (130 citations), Human-Computer Interaction (50 citations), Mechanical Engineering (273 citations) and Biomedical Engineering (278 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, Sylvia del Castillo and Frank Medina. Their work appears in journals such as IEEE Access, Texas Digital Library (University of Texas), Digital Commons - USU (Utah State University) 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.

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