Randall L. Mayes

51 papers receiving 457 citations

Peers

Randall L. Mayes
Comparison fields: 5 of 58
  • Civil and Structural Engineering 335
  • Mechanical Engineering 122
  • Statistics, Probability and Uncertainty 116
  • Control and Systems Engineering 90
  • Automotive Engineering 70
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S. N. Voormeeren Netherlands
Yves Govers Germany
Jeffrey M. Brown United States
Thomas Abrahamsson Sweden
Subodh V. Modak India
Bart Cauberghe Belgium
Étienne Balmès France
Scott Cogan France
Liangxian Gu China
Randall L. Mayes relative to S. N. Voormeeren Netherlands S. N. Voormeeren's profile →
Citations per field
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Countries citing papers authored by Randall L. Mayes

Since Specialization
Citations

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

Fields of papers citing papers by Randall L. Mayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall L. Mayes. 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 Randall L. Mayes. The network helps show where Randall L. Mayes may publish in the future.

Co-authorship network of co-authors of Randall L. Mayes

This figure shows the co-authorship network connecting the top 25 collaborators of Randall L. Mayes. A scholar is included among the top collaborators of Randall L. Mayes 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 Randall L. Mayes. Randall L. Mayes 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
#WorkIndexed citations
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Dynamics of Coupled Structures, Volume 4 : Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016
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Design studies for the transmission simulator method of experimental dynamic substructuring.
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Extracting fixed base modal models from vibration tests on flexible tables.
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A Post Processing Algorithm to Add Damping to Undamped Model Responses
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Consolidation of Modal Parameters from Several Extraction Sets
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The SMAC modal parameter extraction package
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Applications of the Automated SMAC Modal Parameter Extraction Package
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An experimental study of Frequency Response function (FRF) based damage assessment tools
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STARS Missile - Comparison of Pre-flight Predictions from Test-reconciled Models to Actual Flight Data
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System identification of the JPL Micro-Precision Interferometer truss. A overview
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About Randall L. Mayes

Randall L. Mayes is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 58 papers that have together received 510 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (35 papers), Probabilistic and Robust Engineering Design (9 papers) and Hydraulic and Pneumatic Systems (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (116 citations), Civil and Structural Engineering (335 citations) and Automotive Engineering (70 citations). Randall L. Mayes has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Matthew S. Allen, Elizabeth Bergman, Thomas L. Paez, Laura Swiler, George H. James, Thomas G. Carne, Paolo Tiso, Thomas Abrahamsson, Michael Eldred and Michael R. Ross. Their work appears in journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing and Physics of Fluids.

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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