Brian McCoy

611 total citations
12 papers, 437 citations indexed

About

Brian McCoy is a scholar working on Mechanical Engineering, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Brian McCoy has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Biomedical Engineering and 5 papers in Condensed Matter Physics. Recurrent topics in Brian McCoy's work include Modular Robots and Swarm Intelligence (6 papers), Micro and Nano Robotics (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Brian McCoy is often cited by papers focused on Modular Robots and Swarm Intelligence (6 papers), Micro and Nano Robotics (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Brian McCoy collaborates with scholars based in United States. Brian McCoy's co-authors include A. Wong-Foy, Ron Pelrine, T. S. Low, Roy Kornbluh, Harsha Prahlad, Joseph Eckerle, Hanna Kim, Allen Hsu, Cregg Cowan and Joshua B. Ballard and has published in prestigious journals such as MRS Bulletin, MRS Proceedings and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Brian McCoy

12 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian McCoy United States 9 355 240 104 60 59 12 437
Hiroki Shigemune Japan 15 404 1.1× 289 1.2× 98 0.9× 44 0.7× 72 1.2× 51 565
Zhijian Ren United States 9 268 0.8× 119 0.5× 73 0.7× 28 0.5× 44 0.7× 18 368
Zisheng Ye United States 5 314 0.9× 219 0.9× 115 1.1× 19 0.3× 49 0.8× 9 397
Bo Hao China 10 260 0.7× 211 0.9× 225 2.2× 17 0.3× 30 0.5× 23 426
Songwen Jiang China 7 291 0.8× 176 0.7× 77 0.7× 38 0.6× 32 0.5× 9 350
Nathaniel N. Goldberg United States 7 301 0.8× 161 0.7× 123 1.2× 33 0.6× 33 0.6× 9 370
Liyang Mao China 7 230 0.6× 173 0.7× 201 1.9× 22 0.4× 28 0.5× 10 335
Fumikazu Miyasaka Japan 9 116 0.3× 245 1.0× 12 0.1× 107 1.8× 25 0.4× 61 416
Boyuan Du China 4 241 0.7× 142 0.6× 66 0.6× 36 0.6× 31 0.5× 8 286
Geoffrey A. Slipher United States 7 243 0.7× 152 0.6× 58 0.6× 21 0.3× 58 1.0× 15 361

Countries citing papers authored by Brian McCoy

Since Specialization
Citations

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

Fields of papers citing papers by Brian McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian McCoy

This figure shows the co-authorship network connecting the top 25 collaborators of Brian McCoy. A scholar is included among the top collaborators of Brian McCoy 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 Brian McCoy. Brian McCoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Hsu, Allen, Cregg Cowan, Brian McCoy, et al.. (2018). Diamagnetically levitated Milli-robots for heterogeneous 3D assembly. 14(1-2). 1–16. 22 indexed citations
2.
Hsu, Allen, Cregg Cowan, Brian McCoy, et al.. (2017). Automated 2D micro-assembly using diamagnetically levitated milli-robots. 1–6. 26 indexed citations
3.
Pelrine, Ron, A. Wong-Foy, Allen Hsu, & Brian McCoy. (2016). Self-assembly of milli-scale robotic manipulators: A path to highly adaptive, robust automation systems. 1–6. 14 indexed citations
4.
Pelrine, Ron, Allen Hsu, A. Wong-Foy, Brian McCoy, & Cregg Cowan. (2016). Optimal control of diamagnetically levitated milli robots using automated search patterns. 7. 1–6. 9 indexed citations
5.
Hsu, Allen, A. Wong-Foy, Brian McCoy, et al.. (2016). Application of micro-robots for building carbon fiber trusses. 1–6. 18 indexed citations
6.
Williams, S. D., et al.. (2015). Innovative Electrostatic Adhesion Technologies. Advanced Maui Optical and Space Surveillance Technologies Conference. 61. 2 indexed citations
7.
Kornbluh, Roy, Ron Pelrine, Harsha Prahlad, et al.. (2012). Dielectric elastomers: Stretching the capabilities of energy harvesting. MRS Bulletin. 37(3). 246–253. 111 indexed citations
9.
Kornbluh, Roy, Ron Pelrine, Harsha Prahlad, et al.. (2011). From boots to buoys: promises and challenges of dielectric elastomer energy harvesting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7976. 797605–797605. 133 indexed citations
10.
Kornbluh, Roy, Joseph Eckerle, & Brian McCoy. (2011). A scalable solution to harvest kinetic energy. SPIE Newsroom. 7 indexed citations
11.
Kornbluh, Roy, A. Wong-Foy, Ron Pelrine, Harsha Prahlad, & Brian McCoy. (2010). Long-lifetime All-polymer Artificial Muscle Transducers. MRS Proceedings. 1271. 20 indexed citations
12.
McCoy, Brian & Marco Zimmermann. (2004). Performance evaluation and reliability of thermal vias. 2. 1250–1256. 8 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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