Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system
2015472 citationsYanxue Wang, Richard Markert et al.Mechanical Systems and Signal Processingprofile →
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
2015419 citationsYanxue Wang, Jiawei Xiang et al.Mechanical Systems and Signal Processingprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Richard Markert
Since
Specialization
Citations
This map shows the geographic impact of Richard Markert'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 Richard Markert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Markert more than expected).
This network shows the impact of papers produced by Richard Markert. 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 Richard Markert. The network helps show where Richard Markert may publish in the future.
Co-authorship network of co-authors of Richard Markert
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Markert.
A scholar is included among the top collaborators of Richard Markert 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 Richard Markert. Richard Markert 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.
Cavalca, Kátia Lucchesi, et al.. (2020). Feedforward Rotor Fault Compensation. Structural Control and Health Monitoring. 27(6).1 indexed citations
2.
Wang, Yanxue, Richard Markert, Jiawei Xiang, & Weiguang Zheng. (2015). Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system. Mechanical Systems and Signal Processing. 60-61. 243–251.472 indexed citations breakdown →
Markert, Richard, et al.. (2011). Experimental Identification of Journal Bearing Stiffness and Damping Coefficients in Non-Stationary Run-up and Run-down Processes.4 indexed citations
6.
Castro, Hélio Fiori de, et al.. (2011). Rotor-bearing system characterization by dynamic stiffness with a magnetic actuator as source of excitation.1 indexed citations
Markert, Richard, et al.. (2007). Einfluss der inneren Dämpfung auf das dynamische Verhalten von elastischen Rotoren. TUbilio (Technical University of Darmstadt).
10.
Markert, Richard, et al.. (2006). Experimental Validation of Various Motion Patterns at Rotor-Stator-Contact.4 indexed citations
Markert, Richard, et al.. (2001). Non-stationary balancing of rotors with significant influence of journal bearings.
16.
Markert, Richard, et al.. (2001). Influence of cross-axis sensitivity and coordinate coupling on self-sensing.7 indexed citations
17.
Markert, Richard, et al.. (2001). Adaptive control methods to minimize the unbalance response of magnetically suspended elastic rotors during run-up and run-down.3 indexed citations
18.
Markert, Richard, et al.. (1998). FAULT DETERMINATION FOR THE EXAMPLE OF A CRACKED ROTOR. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 78.1 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.