Michael Cullinan

1.4k total citations
99 papers, 1.1k citations indexed

About

Michael Cullinan is a scholar working on Biomedical Engineering, Mechanical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Cullinan has authored 99 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 36 papers in Mechanical Engineering and 32 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Cullinan's work include Additive Manufacturing and 3D Printing Technologies (28 papers), Additive Manufacturing Materials and Processes (23 papers) and Force Microscopy Techniques and Applications (17 papers). Michael Cullinan is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (28 papers), Additive Manufacturing Materials and Processes (23 papers) and Force Microscopy Techniques and Applications (17 papers). Michael Cullinan collaborates with scholars based in United States, Germany and Hong Kong. Michael Cullinan's co-authors include Martin L. Culpepper, Nilabh K. Roy, Robert M. Panas, Jayathi Y. Murthy, Sourabh K. Saha, Edward T. Yu, Daniel Moser, Seung Ryul Na, Liam G. Connolly and Jason J. Gorman and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Michael Cullinan

87 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Cullinan United States 20 461 335 332 284 269 99 1.1k
Gabriel L. Smith United States 18 639 1.4× 531 1.6× 305 0.9× 317 1.1× 152 0.6× 51 1.2k
Edward C. Kinzel United States 21 589 1.3× 350 1.0× 454 1.4× 127 0.4× 434 1.6× 141 1.4k
Yong Hoon Jang South Korea 15 991 2.1× 408 1.2× 526 1.6× 108 0.4× 184 0.7× 68 1.8k
Kai Tan China 17 562 1.2× 240 0.7× 487 1.5× 284 1.0× 126 0.5× 28 1.1k
Narasimha Boddeti United States 16 610 1.3× 304 0.9× 355 1.1× 953 3.4× 169 0.6× 19 1.7k
Jae‐Eung Oh South Korea 23 358 0.8× 446 1.3× 218 0.7× 325 1.1× 153 0.6× 114 1.4k
Sarah S. Bedair United States 22 1.1k 2.3× 993 3.0× 311 0.9× 284 1.0× 180 0.7× 90 1.6k
Claudio V. Di Leo United States 15 235 0.5× 696 2.1× 381 1.1× 298 1.0× 504 1.9× 23 1.4k
Jae‐Hyeong Seo South Korea 21 291 0.6× 1.2k 3.6× 427 1.3× 176 0.6× 625 2.3× 57 1.9k
Shuman Xia United States 23 303 0.7× 1.1k 3.3× 441 1.3× 292 1.0× 440 1.6× 43 1.9k

Countries citing papers authored by Michael Cullinan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cullinan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cullinan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Cullinan. A scholar is included among the top collaborators of Michael Cullinan 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 Michael Cullinan. Michael Cullinan 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.
Khanbolouki, Pouria, et al.. (2025). Near-infrared laser powder bed fusion of pure copper: Post-processing and structure–property relationships. Journal of Materials Research and Technology. 40. 1665–1673.
2.
Cullinan, Michael, et al.. (2025). Methodology for determination of the emissivity of metal powders and uncertainty quantification using an infrared camera and thermocouples. Measurement Science and Technology. 36(2). 25013–25013. 3 indexed citations
3.
Cullinan, Michael, et al.. (2024). THEORETICAL APPROACH FOR DETERMINING AN EMISSIVITY OF SOLID MATERIALS AND ITS COMPARISON WITH EXPERIMENTAL STUDIES ON THE EXAMPLE OF 316L POWDER STEEL. SHILAP Revista de lepidopterología. 14(3). 5–8. 1 indexed citations
4.
Cullinan, Michael, et al.. (2024). Reconstruction of high-resolution atomic force microscopy measurements from fast-scan data using a Noise2Noise algorithm. Measurement. 227. 114263–114263. 3 indexed citations
5.
6.
Rylander, Christopher G., et al.. (2024). Project-Focused Redesign of a First-Year Engineering Design Course for CAD and CAM in a Modern Era. Papers on Engineering Education Repository (American Society for Engineering Education).
7.
Cullinan, Michael, et al.. (2023). Characterization of porosity in periodic 3D nanostructures using spectroscopic scatterometry. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 41(6).
8.
Hopkins, Jonathan B., et al.. (2023). Response Speed Characterization of a Thermally Actuated Programmable Metamaterial. Journal of Microelectromechanical Systems. 33(1). 6–8. 2 indexed citations
9.
Cullinan, Michael, et al.. (2023). Characterizing process window for microscale selective laser sintering. Manufacturing Letters. 37. 39–44.
10.
Cullinan, Michael, et al.. (2022). Electrical Resistance Metrology in Nanoparticle Sintering Simulations. 1 indexed citations
11.
12.
Yu, Edward T., et al.. (2020). Investigation of heat transfer modes in plasmonic nanoparticles. International Journal of Heat and Mass Transfer. 156. 119869–119869. 3 indexed citations
13.
Saha, Sourabh K., et al.. (2020). A MEMS dynamic mechanical analyzer for in situ viscoelastic characterization of 3D printed nanostructures. Journal of Micromechanics and Microengineering. 30(7). 75008–75008. 7 indexed citations
14.
Na, Seung Ryul, et al.. (2019). Controlling the number of layers in graphene using the growth pressure. Nanotechnology. 30(23). 235602–235602. 23 indexed citations
15.
Song, Yuanping, et al.. (2019). Design and fabrication of a three-dimensional meso-sized robotic metamaterial with actively controlled properties. Materials Horizons. 7(1). 229–235. 19 indexed citations
16.
Roy, Nilabh K., et al.. (2019). A novel microscale selective laser sintering (μ-SLS) process for the fabrication of microelectronic parts. Microsystems & Nanoengineering. 5(1). 64–64. 82 indexed citations
17.
Ward, M. J. & Michael Cullinan. (2019). A fracture model for exfoliation of thin silicon films. International Journal of Fracture. 216(2). 161–171. 2 indexed citations
18.
Gorman, Jason J., et al.. (2017). Growth of monolayer graphene on nanoscale copper-nickel alloy thin films. Carbon. 115. 441–448. 25 indexed citations
19.
Cullinan, Michael, et al.. (2017). Polarization Effect on Out of Plane Configured Nanoparticle Packing. 3 indexed citations
20.
Cullinan, Michael, Robert M. Panas, & Martin L. Culpepper. (2012). A multi-axis MEMS sensor with integrated carbon nanotube-based piezoresistors for nanonewton level force metrology. Nanotechnology. 23(32). 325501–325501. 17 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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