Craig D. McGray

1.2k total citations
28 papers, 824 citations indexed

About

Craig D. McGray is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Craig D. McGray has authored 28 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 10 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Craig D. McGray's work include Modular Robots and Swarm Intelligence (8 papers), Force Microscopy Techniques and Applications (7 papers) and GaN-based semiconductor devices and materials (6 papers). Craig D. McGray is often cited by papers focused on Modular Robots and Swarm Intelligence (8 papers), Force Microscopy Techniques and Applications (7 papers) and GaN-based semiconductor devices and materials (6 papers). Craig D. McGray collaborates with scholars based in United States, Sweden and United Kingdom. Craig D. McGray's co-authors include Daniela Rus, Bruce R. Donald, Christopher G. Levey, Igor Paprotny, Keith Kotay, Marsette Vona, José Díaz, G. D. Via, J. D. Blevins and Jon Geist and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and IEEE Transactions on Electron Devices.

In The Last Decade

Craig D. McGray

28 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig D. McGray United States 12 447 407 294 248 154 28 824
Jérôme Delamare France 17 365 0.8× 115 0.3× 275 0.9× 481 1.9× 120 0.8× 50 1.0k
Herman Oprins Belgium 20 423 0.9× 157 0.4× 142 0.5× 987 4.0× 190 1.2× 128 1.4k
Takashi Miyoshi Japan 16 186 0.4× 341 0.8× 232 0.8× 286 1.2× 106 0.7× 108 818
Neel Nadkarni United States 10 384 0.9× 47 0.1× 365 1.2× 221 0.9× 90 0.6× 10 866
Robert D. Schroll United States 10 356 0.8× 64 0.2× 203 0.7× 75 0.3× 91 0.6× 12 626
Yunfei En China 19 127 0.3× 237 0.6× 137 0.5× 1.4k 5.7× 164 1.1× 177 1.6k
Wai Tung Ng Canada 24 80 0.2× 274 0.7× 354 1.2× 1.7k 7.0× 114 0.7× 172 1.8k
Nicolas Chaillet France 17 198 0.4× 90 0.2× 320 1.1× 255 1.0× 214 1.4× 53 841
Suyu Wang China 21 137 0.3× 902 2.2× 439 1.5× 438 1.8× 67 0.4× 108 1.3k
Juan Rivas-Davila United States 32 433 1.0× 715 1.8× 331 1.1× 3.8k 15.4× 119 0.8× 156 4.0k

Countries citing papers authored by Craig D. McGray

Since Specialization
Citations

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

Fields of papers citing papers by Craig D. McGray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig D. McGray. 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 Craig D. McGray. The network helps show where Craig D. McGray may publish in the future.

Co-authorship network of co-authors of Craig D. McGray

This figure shows the co-authorship network connecting the top 25 collaborators of Craig D. McGray. A scholar is included among the top collaborators of Craig D. McGray 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 Craig D. McGray. Craig D. McGray 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.
Song, Yiwen, Arkka Bhattacharyya, Daniel Shoemaker, et al.. (2023). Ultra-Wide Band Gap Ga2O3-on-SiC MOSFETs. ACS Applied Materials & Interfaces. 15(5). 7137–7147. 46 indexed citations
2.
Song, Yiwen, Bikramjit Chatterjee, Craig D. McGray, et al.. (2020). Characterization of the Thermal Boundary Resistance of a Ga2O3/4H-SiC Composite Wafer. 154–157. 3 indexed citations
3.
McGray, Craig D., et al.. (2018). Particle Tracking of Microelectromechanical System Performance and Reliability. Journal of Microelectromechanical Systems. 27(6). 948–950. 7 indexed citations
4.
Geist, Jon, et al.. (2017). Gravity-Based Characterization of Three-Axis Accelerometers in Terms of Intrinsic Accelerometer Parameters. Journal of Research of the National Institute of Standards and Technology. 122. 1–14. 16 indexed citations
5.
McGray, Craig D., et al.. (2017). Aperture arrays for subnanometer calibration of optical microscopes. 1–2. 1 indexed citations
6.
McGray, Craig D., et al.. (2016). Transfer of motion through a microelectromechanical linkage at nanometer and microradian scales. Microsystems & Nanoengineering. 2(1). 16055–16055. 4 indexed citations
7.
Chao, P.C., José Díaz, Ray Kallaher, et al.. (2016). GaN-on-Diamond HEMTs with 11W/mm Output Power at 10GHz. MRS Advances. 1(2). 147–155. 27 indexed citations
8.
McGray, Craig D., et al.. (2015). Characterization of electrothermal actuation with nanometer and microradian precision. 792–795. 4 indexed citations
9.
10.
Díaz, José, M. S. Shur, Ray Kallaher, et al.. (2015). Low-Temperature Bonded GaN-on-Diamond HEMTs With 11 W/mm Output Power at 10 GHz. IEEE Transactions on Electron Devices. 62(11). 3658–3664. 85 indexed citations
11.
Cho, Jungwan, et al.. (2014). Thermal conduction normal to thin silicon nitride films on diamond and GaN. 1186–1191. 14 indexed citations
12.
McGray, Craig D., Richard Kasica, Ndubuisi G. Orji, et al.. (2012). Robust auto-alignment technique for orientation-dependent etching of nanostructures. Journal of Micro/Nanolithography MEMS and MOEMS. 11(2). 23005–1. 4 indexed citations
13.
McGray, Craig D., Samuel M. Stavis, Joshua Giltinan, et al.. (2012). MEMS Kinematics by Super-Resolution Fluorescence Microscopy. Journal of Microelectromechanical Systems. 22(1). 115–123. 9 indexed citations
14.
Dixson, Ronald G., Ndubuisi G. Orji, Craig D. McGray, & Jon Geist. (2011). Traceable calibration of a critical dimension atomic force microscope. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8036. 80360S–80360S. 2 indexed citations
15.
McGray, Craig D., et al.. (2011). Rectangular scale-similar etch pits in monocrystalline diamond. Diamond and Related Materials. 20(10). 1363–1365. 1 indexed citations
16.
Gorman, Jason J., Craig D. McGray, & Richard A. Allen. (2009). Mobile microrobot characterization through performance-based competitions. 122–126. 6 indexed citations
17.
Donald, Bruce R., Christopher G. Levey, Craig D. McGray, Igor Paprotny, & Daniela Rus. (2006). An Untethered, Electrostatic, Globally Controllable MEMS Micro-Robot. Journal of Microelectromechanical Systems. 15(1). 1–15. 254 indexed citations
18.
Donald, Bruce R., Christopher G. Levey, Craig D. McGray, Daniela Rus, & Mike Sinclair. (2003). Power delivery and locomotion of untethered microactuators. Journal of Microelectromechanical Systems. 12(6). 947–959. 48 indexed citations
19.
Donald, Bruce R., Christopher G. Levey, Craig D. McGray, Daniela Rus, & Mike Sinclair. (2003). Power delivery and locomotion of untethered micro-actuators. a80. 124–129. 16 indexed citations
20.
McGray, Craig D. & Daniela Rus. (2002). Self-reconfigurable molecule robots as 3D metamorphic robots. 2. 837–842. 18 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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