Michael J. McGinnis

1.0k total citations
39 papers, 796 citations indexed

About

Michael J. McGinnis is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanics of Materials. According to data from OpenAlex, Michael J. McGinnis has authored 39 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Civil and Structural Engineering, 21 papers in Building and Construction and 4 papers in Mechanics of Materials. Recurrent topics in Michael J. McGinnis's work include Structural Behavior of Reinforced Concrete (17 papers), Seismic Performance and Analysis (12 papers) and Structural Load-Bearing Analysis (9 papers). Michael J. McGinnis is often cited by papers focused on Structural Behavior of Reinforced Concrete (17 papers), Seismic Performance and Analysis (12 papers) and Structural Load-Bearing Analysis (9 papers). Michael J. McGinnis collaborates with scholars based in United States, Spain and Türkiye. Michael J. McGinnis's co-authors include Yahya C. Kurama, Brian J. Smith, Stephen Pessiki, Brad D. Weldon, Mark M. Davis, Howard I. Epstein, Paola Bandini, Eduardo Dávila, Richard Sause and Kristen A. Peterson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of Structural Engineering.

In The Last Decade

Michael J. McGinnis

38 papers receiving 746 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. McGinnis United States 12 662 486 89 62 60 39 796
Júlio Flórez-López Venezuela 18 644 1.0× 274 0.6× 126 1.4× 51 0.8× 268 4.5× 65 839
Kyoung‐Chan Lee South Korea 11 429 0.6× 154 0.3× 114 1.3× 97 1.6× 53 0.9× 33 528
Lizhao Dai China 11 498 0.8× 207 0.4× 40 0.4× 6 0.1× 75 1.3× 31 561
Giosuè Boscato Italy 17 648 1.0× 307 0.6× 68 0.8× 18 0.3× 112 1.9× 56 707
Marcin Tekieli Poland 8 236 0.4× 126 0.3× 50 0.6× 64 1.0× 71 1.2× 22 314
Jixing Cao China 15 336 0.5× 231 0.5× 144 1.6× 11 0.2× 57 0.9× 32 463
Erica Magagnini Italy 13 270 0.4× 113 0.2× 89 1.0× 22 0.4× 100 1.7× 34 400
Baofeng Zheng China 17 627 0.9× 444 0.9× 130 1.5× 8 0.1× 138 2.3× 59 760
Cheng Shi China 12 633 1.0× 133 0.3× 125 1.4× 13 0.2× 71 1.2× 24 703
Hamid Reza Ahmadi Iran 11 299 0.5× 81 0.2× 58 0.7× 17 0.3× 82 1.4× 42 419

Countries citing papers authored by Michael J. McGinnis

Since Specialization
Citations

This map shows the geographic impact of Michael J. McGinnis'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. McGinnis 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. McGinnis more than expected).

Fields of papers citing papers by Michael J. McGinnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. McGinnis. A scholar is included among the top collaborators of Michael J. McGinnis 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. McGinnis. Michael J. McGinnis 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.
2.
Sun, Wei, Brad D. Weldon, Michael J. McGinnis, & Ruinian Jiang. (2023). Numerical and digital image correlation study of the flexural behavior of prestressed ultra-high-performance concrete beams made from locally available materials. PCI Journal. 69(1). 22–39. 1 indexed citations
3.
Weldon, Brad D., et al.. (2018). Laboratory Study on the Strength Behaviour of Two Laterally Loaded Adobe Walls. Infrastructures. 4(1). 1–1. 15 indexed citations
4.
McGinnis, Michael J., et al.. (2017). Strength and stiffness of concrete with recycled concrete aggregates. Construction and Building Materials. 154. 258–269. 134 indexed citations
5.
Davis, Mark M., et al.. (2016). Environmental Considerations of Recycled Concrete Aggregates (RCA) for Improved Sustainability of Reinforced Concrete Building Structures. Sustainable construction materials and technologies. 2. 787–796. 4 indexed citations
6.
Weldon, Brad D., et al.. (2016). Behavior Comparison of Prestressed Channel Girders from High-Performance and Ultrahigh-Performance Concrete. Transportation Research Record Journal of the Transportation Research Board. 2577(1). 60–68. 1 indexed citations
7.
Kurama, Yahya C., et al.. (2015). Measured Behavior of a Reinforced Concrete Coupled Wall with Fully Post-Tensioned Coupling Beams. 1361–1369. 1 indexed citations
8.
McGinnis, Michael J. & Stephen Pessiki. (2015). Experimental Study of the Core-Drilling Method for Evaluating In Situ Stresses in Concrete Structures. Journal of Materials in Civil Engineering. 28(2). 19 indexed citations
9.
Kurama, Yahya C., et al.. (2014). Lateral Load Behavior of a Post-Tensioned Coupled Core Wall. Texas Advanced Computing Center. 5 indexed citations
10.
McGinnis, Michael J., et al.. (2013). Experimental Evaluation of a Multi-Story Post-Tensioned Coupled Shear Wall Structure. 1950–1961. 3 indexed citations
11.
McGinnis, Michael J., et al.. (2012). 3-D Digital Image Correlation—An Underused Asset for Structural Testing. 35. 1958–1969. 9 indexed citations
12.
McGinnis, Michael J., et al.. (2011). RC Bearing Walls Subjected to Elevated Temperatures. 318. 439–450. 5 indexed citations
13.
Smith, Brian J., Yahya C. Kurama, & Michael J. McGinnis. (2011). Comparison of Hybrid and Emulative Precast Concrete Shear Walls for Seismic Regions. 3033–3044. 5 indexed citations
14.
McGinnis, Michael J., et al.. (2011). Application of the Incremental Core-Drilling Method to Determine In-Situ Stresses in Concrete. ACI Materials Journal. 108(3). 11 indexed citations
15.
McGinnis, Michael J., et al.. (2010). Analytical and numerical development of the incremental core-drilling method of non-destructive determination of in-situ stresses in concrete structures. The Journal of Strain Analysis for Engineering Design. 45(8). 647–658. 11 indexed citations
16.
Ricco, Antonio J., Macarena Parra, David W. Niesel, et al.. (2010). PHARMASAT: DRUG DOSE DEPENDENCE RESULTS FROM AN AUTONOMOUS MICROSYSTEM-BASED SMALL SATELLITE IN LOW EARTH ORBIT. 110–113. 8 indexed citations
17.
Smith, Brian J., Yahya C. Kurama, & Michael J. McGinnis. (2010). Design and Measured Behavior of a Hybrid Precast Concrete Wall Specimen for Seismic Regions. Journal of Structural Engineering. 137(10). 1052–1062. 136 indexed citations
18.
McGinnis, Michael J. & Stephen Pessiki. (2007). Differential shrinkage effects in the core-drilling method. Magazine of Concrete Research. 59(3). 155–164. 5 indexed citations
19.
McGinnis, Michael J.. (2006). Influence of Steel Reinforcement on In-Situ Stress Evaluation in Concrete Structures by the Core-Drilling Method. AIP conference proceedings. 820. 1358–1365. 1 indexed citations
20.
McGinnis, Michael J., et al.. (2004). Application of 3D Image Correlation Photogrammetry and Classical Photogrammetry to the Core-Drilling Method for Measuring In-Situ Stresses in Concrete Structures. 2 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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