R. Andrew Swartz

907 total citations
36 papers, 652 citations indexed

About

R. Andrew Swartz is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, R. Andrew Swartz has authored 36 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Civil and Structural Engineering, 7 papers in Control and Systems Engineering and 5 papers in Mechanical Engineering. Recurrent topics in R. Andrew Swartz's work include Structural Health Monitoring Techniques (27 papers), Vibration Control and Rheological Fluids (12 papers) and Structural Engineering and Vibration Analysis (7 papers). R. Andrew Swartz is often cited by papers focused on Structural Health Monitoring Techniques (27 papers), Vibration Control and Rheological Fluids (12 papers) and Structural Engineering and Vibration Analysis (7 papers). R. Andrew Swartz collaborates with scholars based in United States, Taiwan and Germany. R. Andrew Swartz's co-authors include Jerome P. Lynch, Andrew T. Zimmerman, Yang Wang, Chin‐Hsiung Loh, Bert Sweetman, Raimund Rolfes, Kung‐Chun Lu, Kincho H. Law, Thomas J. Van Dam and Lawrence Sutter and has published in prestigious journals such as Journal of Sound and Vibration, Journal of Structural Engineering and Journal of Intelligent Material Systems and Structures.

In The Last Decade

R. Andrew Swartz

33 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Andrew Swartz United States 10 519 113 109 105 93 36 652
Manuel E. Ruiz-Sandoval Mexico 8 482 0.9× 51 0.5× 206 1.9× 73 0.7× 114 1.2× 12 693
Y.Q. Ni Hong Kong 17 977 1.9× 136 1.2× 61 0.6× 194 1.8× 19 0.2× 42 1.1k
Shao-Fei Jiang China 16 687 1.3× 45 0.4× 61 0.6× 150 1.4× 10 0.1× 66 843
Bong-Hwan Koh South Korea 16 464 0.9× 257 2.3× 42 0.4× 177 1.7× 17 0.2× 35 683
Weigang Lu China 15 478 0.9× 80 0.7× 18 0.2× 109 1.0× 11 0.1× 66 792
Ed Carryer United States 9 447 0.9× 45 0.4× 257 2.4× 82 0.8× 170 1.8× 12 691
Weili Luo China 15 457 0.9× 78 0.7× 63 0.6× 112 1.1× 13 0.1× 39 626
Jeannette R. Wait United States 9 456 0.9× 31 0.3× 95 0.9× 180 1.7× 31 0.3× 13 612
Hyungchul Yoon South Korea 15 815 1.6× 25 0.2× 192 1.8× 77 0.7× 19 0.2× 43 1.1k
Francesco Potenza Italy 17 621 1.2× 97 0.9× 61 0.6× 79 0.8× 19 0.2× 44 731

Countries citing papers authored by R. Andrew Swartz

Since Specialization
Citations

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

Fields of papers citing papers by R. Andrew Swartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Andrew Swartz. 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 R. Andrew Swartz. The network helps show where R. Andrew Swartz may publish in the future.

Co-authorship network of co-authors of R. Andrew Swartz

This figure shows the co-authorship network connecting the top 25 collaborators of R. Andrew Swartz. A scholar is included among the top collaborators of R. Andrew Swartz 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 R. Andrew Swartz. R. Andrew Swartz 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.
Bao, Ting, R. Andrew Swartz, Stanley J. Vitton, et al.. (2016). Critical insights for advanced bridge scour detection using the natural frequency. Journal of Sound and Vibration. 386. 116–133. 44 indexed citations
2.
Swartz, R. Andrew, et al.. (2015). Low-force magneto-rheological damper design for small-scale structural control experimentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9435. 943511–943511. 3 indexed citations
3.
Swartz, R. Andrew, Alison B. Flatau, Colin Brooks, et al.. (2014). Bio-inspired magnetostrictive whisker sensors for autonomous bridge scour sensing. Digital Commons - Michigan Tech (Michigan Technological University). 2 indexed citations
4.
Flatau, Alison B., et al.. (2014). The design and construction of a scour monitoring system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9061. 90610F–90610F. 2 indexed citations
5.
6.
Chen, Bo, et al.. (2013). Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition. The Scientific World JOURNAL. 2013(1). 248349–248349. 8 indexed citations
7.
Swartz, R. Andrew, et al.. (2013). Cyclo-stationary linear parameter time-varying subspace realization method applied for identification of horizontal-axis wind turbines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8692. 86921I–86921I.
8.
Swartz, R. Andrew, et al.. (2012). Probabilistic characterization of wind turbine blades via aeroelasticity and spinning finite element formulation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8345. 83451N–83451N. 2 indexed citations
9.
Swartz, R. Andrew, et al.. (2011). Operational Risk Assessment of Wind Turbine Structures Using Probabilistic Analysis of Aerodynamically Induced Vibrations. Digital Commons - Michigan Tech (Michigan Technological University). 503–512.
10.
Swartz, R. Andrew, et al.. (2011). Probabilistic analysis of mean-response along-wind induced vibrations on wind turbine towers using wireless network data sensors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7984. 798421–798421. 1 indexed citations
11.
Swartz, R. Andrew, et al.. (2010). Structural monitoring of wind turbines using wireless sensor networks. Smart Structures and Systems. 6(3). 183–196. 108 indexed citations
12.
Swartz, R. Andrew, Andrew T. Zimmerman, & Jerome P. Lynch. (2010). Automated wind load characterization of wind turbine structures by embedded model updating. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7647. 76470J–76470J. 4 indexed citations
13.
Flynn, Eric, et al.. (2009). Active-Sensing Lamb Wave Propagations for Damage Identification in Honeycomb Aluminum Panels. Journal of the Korean Society for Nondestructive Testing. 29(4). 269–282. 1 indexed citations
14.
Swartz, R. Andrew, Jerome P. Lynch, & Chin‐Hsiung Loh. (2009). Near real-time system identification in a wireless sensor network for adaptive feedback control. 3 rd. 3914–3919. 5 indexed citations
15.
Swartz, R. Andrew & Jerome P. Lynch. (2009). Strategic Network Utilization in a Wireless Structural Control System for Seismically Excited Structures. Journal of Structural Engineering. 135(5). 597–608. 54 indexed citations
16.
Swartz, R. Andrew, et al.. (2009). Wireless Hull Monitoring Systems for Modal Analysis of Operational Naval Vessels. 5 indexed citations
17.
Zimmerman, Andrew T., et al.. (2008). Automated Modal Parameter Estimation by Parallel Processing within Wireless Monitoring Systems. Journal of Infrastructure Systems. 14(1). 102–113. 121 indexed citations
18.
Wang, Yang, R. Andrew Swartz, Andrew T. Zimmerman, et al.. (2008). Decentralized wireless structural sensing and control with multiple system architectures operating at different sampling frequencies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6935. 69350T–69350T. 4 indexed citations
19.
Wang, Yang, et al.. (2007). DECENTRALIZED WIRELESS SENSING AND CONTROL OF CIVIL STRUCTURES.
20.
Wang, Yang, R. Andrew Swartz, Jerome P. Lynch, et al.. (2007). Decentralized civil structural control using real-time wireless sensing and embedded computing. Smart Structures and Systems. 3(3). 321–340. 56 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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