Michael J. Tait

3.7k total citations
124 papers, 3.1k citations indexed

About

Michael J. Tait is a scholar working on Civil and Structural Engineering, Computational Mechanics and Building and Construction. According to data from OpenAlex, Michael J. Tait has authored 124 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Civil and Structural Engineering, 30 papers in Computational Mechanics and 21 papers in Building and Construction. Recurrent topics in Michael J. Tait's work include Seismic Performance and Analysis (60 papers), Vibration Control and Rheological Fluids (54 papers) and Structural Engineering and Vibration Analysis (39 papers). Michael J. Tait is often cited by papers focused on Seismic Performance and Analysis (60 papers), Vibration Control and Rheological Fluids (54 papers) and Structural Engineering and Vibration Analysis (39 papers). Michael J. Tait collaborates with scholars based in Canada, Egypt and United States. Michael J. Tait's co-authors include Hamid Toopchi‐Nezhad, J.S. Love, Robert G. Drysdale, Wael El‐Dakhakhni, Dimitrios Konstantinidis, Ashraf A. El Damatty, Niel C. Van Engelen, N. Isyumov, Manuel Campidelli and Simon Foo and has published in prestigious journals such as Materials Science and Engineering A, Composites Part B Engineering and Journal of Sound and Vibration.

In The Last Decade

Michael J. Tait

123 papers receiving 2.9k 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 J. Tait Canada 32 2.6k 680 652 285 210 124 3.1k
Xiuli Du China 29 2.9k 1.1× 271 0.4× 885 1.4× 242 0.8× 305 1.5× 172 3.1k
Vasant Matsagar India 37 3.6k 1.4× 580 0.9× 447 0.7× 626 2.2× 475 2.3× 181 4.3k
Dario De Domenico Italy 36 4.1k 1.6× 198 0.3× 1.0k 1.6× 332 1.2× 303 1.4× 134 4.8k
Adam J Crewe United Kingdom 27 2.8k 1.1× 172 0.3× 737 1.1× 302 1.1× 293 1.4× 92 3.1k
Roberto Nascimbene Italy 39 3.5k 1.3× 324 0.5× 1.6k 2.5× 186 0.7× 195 0.9× 133 3.8k
Ian G. Buckle United States 26 2.1k 0.8× 233 0.3× 501 0.8× 232 0.8× 245 1.2× 99 2.4k
R. S. Jangid India 53 6.3k 2.4× 927 1.4× 390 0.6× 548 1.9× 1.2k 5.7× 211 6.7k
Chi Chiu Lam Macao 23 1.3k 0.5× 199 0.3× 584 0.9× 244 0.9× 101 0.5× 69 1.7k
Qiang Han China 29 2.8k 1.1× 160 0.2× 1.4k 2.1× 229 0.8× 199 0.9× 161 3.0k
Kuo‐Chun Chang Taiwan 30 2.8k 1.1× 104 0.2× 989 1.5× 205 0.7× 202 1.0× 106 3.0k

Countries citing papers authored by Michael J. Tait

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Tait

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Tait. A scholar is included among the top collaborators of Michael J. Tait 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 J. Tait. Michael J. Tait 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.
Tait, Michael J., et al.. (2025). Post-earthquake fire analysis of a low-rise steel frame in OpenSees using a hybrid model. Structures. 79. 109658–109658.
2.
Tait, Michael J., et al.. (2023). Numerical modelling of dual function tanks for fire suppression and tuned liquid damper applications. Engineering Structures. 299. 117080–117080. 4 indexed citations
3.
Salama, Mohamed, Wael El‐Dakhakhni, & Michael J. Tait. (2023). Systemic risk mitigation strategy for power grid cascade failures using constrained spectral clustering. International Journal of Critical Infrastructure Protection. 42. 100622–100622. 7 indexed citations
4.
Tait, Michael J., et al.. (2023). Seismic fragility analysis of bridge-isolator-foundation-soil systems in subfreezing temperatures. Engineering Structures. 291. 116154–116154. 5 indexed citations
5.
Salama, Mohamed, Wael El‐Dakhakhni, & Michael J. Tait. (2021). Mixed strategy for power grid resilience enhancement under cyberattack. Sustainable and Resilient Infrastructure. 7(5). 568–588. 3 indexed citations
6.
Ezzeldin, Mohamed, et al.. (2021). Resistance functions for blast fragility quantification of reinforced concrete block masonry shear walls. Engineering Structures. 233. 111531–111531. 5 indexed citations
7.
Ezzeldin, Mohamed, et al.. (2021). Reinforced masonry shear wall blast response limits for ASCE 59 and CSA S850. Engineering Structures. 239. 112183–112183. 5 indexed citations
8.
Salama, Mohamed, Mohamed Ezzeldin, Wael El‐Dakhakhni, & Michael J. Tait. (2020). Temporal networks: a review and opportunities for infrastructure simulation. Sustainable and Resilient Infrastructure. 7(1). 40–55. 18 indexed citations
9.
Siam, Ahmad, et al.. (2020). Probabilistic Resilience-Guided Infrastructure Risk Management. Journal of Management in Engineering. 36(6). 29 indexed citations
10.
Ezzeldin, Mohamed, et al.. (2020). Performance of battery rack auxiliary power systems under FEMA 461 quasi-static seismic loading protocol. Structures. 27. 1041–1056. 5 indexed citations
11.
Love, J.S., et al.. (2020). Tuned Sloshing Dampers With Large Rectangular Core Penetrations. Journal of vibration and acoustics. 142(6). 3 indexed citations
12.
Ezzeldin, Mohamed, et al.. (2019). Shake Table Seismic Performance Assessment of Auxiliary Battery Power Systems Using the FEMA 461 Protocol. Journal of Structural Engineering. 145(8). 13 indexed citations
13.
Ezzeldin, Mohamed, et al.. (2019). Out-of-Plane Behavior of Load-Bearing Reinforced Masonry Shear Walls. Journal of Structural Engineering. 145(11). 9 indexed citations
14.
Moustafa, Mohamed A., et al.. (2017). Modeling and Evaluation of a Seismically Isolated Bridge Using Unbonded Fiber‐Reinforced Elastomeric Isolators. Earthquake Spectra. 34(1). 145–168. 10 indexed citations
15.
Love, J.S. & Michael J. Tait. (2017). The performance characteristics of misaligned bidirectional dynamic vibration absorbers. Structural Control and Health Monitoring. 25(1). e2055–e2055. 3 indexed citations
16.
Tait, Michael J., et al.. (2017). Experimental assessment of utilizing fiber reinforced elastomeric isolators as bearings for bridge applications. Composites Part B Engineering. 114. 373–385. 29 indexed citations
17.
Engelen, Niel C. Van, et al.. (2014). Partially bonded fiber-reinforced elastomeric isolators (PB-FREIs). Structural Control and Health Monitoring. 22(3). 417–432. 41 indexed citations
18.
Love, J.S. & Michael J. Tait. (2013). Nonlinear multimodal model for TLD of irregular tank geometry and small fluid depth. Journal of Fluids and Structures. 43. 83–99. 15 indexed citations
19.
Tait, Michael J., et al.. (2013). Three-dimensional finite element analysis of circular fiber-reinforced elastomeric bearings under compression. Composite Structures. 108. 191–204. 31 indexed citations
20.
Sivakumaran, K.S., et al.. (2011). True Stress-True Strain Models for Structural Steel Elements. 2011. 1–11. 64 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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