D. Michael McFarland

8.1k total citations · 1 hit paper
179 papers, 6.4k citations indexed

About

D. Michael McFarland is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, D. Michael McFarland has authored 179 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Civil and Structural Engineering, 54 papers in Control and Systems Engineering and 34 papers in Mechanical Engineering. Recurrent topics in D. Michael McFarland's work include Vibration Control and Rheological Fluids (70 papers), Structural Health Monitoring Techniques (37 papers) and Vibration and Dynamic Analysis (35 papers). D. Michael McFarland is often cited by papers focused on Vibration Control and Rheological Fluids (70 papers), Structural Health Monitoring Techniques (37 papers) and Vibration and Dynamic Analysis (35 papers). D. Michael McFarland collaborates with scholars based in United States, Greece and China. D. Michael McFarland's co-authors include Alexander F. Vakakis, Lawrence A. Bergman, Gaëtan Kerschen, Young S. Lee, Lawrence A. Bergman, G. Kerschen, F. Nucera, Y. S. Lee, A. F. Vakakis and Billie F. Spencer and has published in prestigious journals such as Nano Letters, ACS Nano and Journal of Applied Physics.

In The Last Decade

D. Michael McFarland

171 papers receiving 6.3k citations

Hit Papers

Nonlinear Targeted Energy Transfer in Mechanical and Stru... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

D. Michael McFarland
Simon A. Neild United Kingdom
M.J. Brennan United Kingdom
R. A. Ibrahim United States
Hu Ding China
Simon A. Neild United Kingdom
D. Michael McFarland
Citations per year, relative to D. Michael McFarland D. Michael McFarland (= 1×) peers Simon A. Neild

Countries citing papers authored by D. Michael McFarland

Since Specialization
Citations

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

Fields of papers citing papers by D. Michael McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Michael McFarland

This figure shows the co-authorship network connecting the top 25 collaborators of D. Michael McFarland. A scholar is included among the top collaborators of D. Michael McFarland 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 D. Michael McFarland. D. Michael McFarland 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.
Shao, Mingyu, et al.. (2025). Numerical investigation of pitching airfoil subjected to incoming gust. Physics of Fluids. 37(5).
2.
Cheng, Xiangle, et al.. (2025). Traveling waves in tensioned Euler-Bernoulli beams with viscoelastic boundary conditions. International Journal of Mechanical Sciences. 294. 110248–110248. 4 indexed citations
3.
McFarland, D. Michael, et al.. (2025). Efficient Solution of Fokker–Planck Equations in Two Dimensions. Mathematics. 13(3). 491–491.
4.
Zhou, Zhenjiang, et al.. (2023). One-dimensional granular chains as transmitted force attenuators. Nonlinear Dynamics. 111(16). 14713–14730. 1 indexed citations
5.
Cheng, Xiangle, et al.. (2021). Reconstruction of waves traveling in a nonlinear granular chain from acoustic measurements. Mechanical Systems and Signal Processing. 161. 107988–107988.
6.
Balasubramanian, Srinidhi, D. Michael McFarland, Sotiria Koloutsou‐Vakakis, et al.. (2020). Effect of grid resolution and spatial representation of NH3 emissions from fertilizer application on predictions of NH3 and PM2.5 concentrations in the United States Corn Belt. Environmental Research Communications. 2(2). 25001–25001. 12 indexed citations
7.
Romeo, Francesco, et al.. (2018). Vibration energy harvesting from impulsive excitations via a bistable nonlinear attachment—Experimental study. Mechanical Systems and Signal Processing. 125. 185–201. 35 indexed citations
8.
Moore, Keegan J., Mehmet Kurt, Melih Eriten, et al.. (2017). Direct detection of nonlinear modal interactions from time series measurements. Mechanical Systems and Signal Processing. 125. 311–329. 20 indexed citations
9.
Theodossiades, Stephanos, Mahdi Mohammadpour, Homer Rahnejat, et al.. (2016). Targeted energy transfer and modal energy redistribution in automotive drivetrains. Nonlinear Dynamics. 87(1). 169–190. 58 indexed citations
10.
Theodossiades, Stephanos, et al.. (2015). Targeted energy transfer in automotive powertrains. Loughborough University Institutional Repository (Loughborough University). 2 indexed citations
11.
Cho, Hanna, Hohyun Keum, Seok Kim, et al.. (2014). Complex nonlinear dynamics in the limit of weak coupling of a system of microcantilevers connected by a geometrically nonlinear tunable nanomembrane. Nanotechnology. 25(46). 465501–465501. 6 indexed citations
12.
Hubbard, Sean A., et al.. (2014). Targeted Energy Transfer Between a Swept Wing and Winglet-Housed Nonlinear Energy Sink. AIAA Journal. 52(12). 2633–2651. 29 indexed citations
13.
Hasan, M. Arif, et al.. (2013). Primary pulse transmission in coupled steel granular chains embedded in PDMS matrix: Experiment and modeling. International Journal of Solids and Structures. 50(20-21). 3207–3224. 17 indexed citations
14.
Cho, Hanna, et al.. (2012). Nonlinear hardening and softening resonances in micromechanical cantilever-nanotube systems originated from nanoscale geometric nonlinearities. International Journal of Solids and Structures. 49(15-16). 2059–2065. 53 indexed citations
15.
Cho, Hanna, Min-Feng Yu, Alexander F. Vakakis, Lawrence A. Bergman, & D. Michael McFarland. (2012). Dynamics of microcantilever integrated with geometric nonlinearity for stable and broadband nonlinear atomic force microscopy. Surface Science. 606(17-18). L74–L78. 6 indexed citations
16.
Cho, Hanna, Min‐Feng Yu, Alexander F. Vakakis, Lawrence A. Bergman, & D. Michael McFarland. (2010). Tunable, Broadband Nonlinear Nanomechanical Resonator. Nano Letters. 10(5). 1793–1798. 57 indexed citations
17.
Lee, Young S., D. Michael McFarland, Gaëtan Kerschen, Alexander F. Vakakis, & Lawrence A. Bergman. (2007). WING-FLUTTER MITIGATION BY TARGETED ENERGY TRANSFERS INDUCED BY AN ESSENTIALLY NONLINEAR ATTACHMENT. Open Repository and Bibliography (University of Liège). 1 indexed citations
18.
Bergman, L., D. Michael McFarland, John K. Hall, E. A. Johnson, & Ahsan Kareem. (1989). Optimal Distribution of Tuned Mass Dampers in Wind-Sensitive Structures. 95–102. 16 indexed citations
19.
Bergman, Lawrence A. & D. Michael McFarland. (1988). Random vibration of a discrete-distributed system. 193–196. 2 indexed citations
20.
McFarland, D. Michael, et al.. (1986). On the acoustico-ultrasonic non-destructive evaluation of wire rope using the stress wave factor technique. 28(3). 155–156.

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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