Dynamic Monitoring
Dynamic monitoring is a methodological approach centered on the continuous or near-continuous observation, measurement, and analysis of a system, process, or phenomenon that exhibits temporal variation. This approach investigates the dynamic behavior and evolution of the subject over time, characterized by frequent data acquisition and often real-time or near-real-time analysis to capture transient states, identify trends, and detect anomalies. Its significance lies in providing timely, high-resolution insights necessary for understanding complex, non-static systems, enabling adaptive control, prognostic assessment, and informed decision-making in response to changing conditions.
335
Publications
14K
Citations
1.4K
Authors
516
Institutions
Publications per year
2017–2026
132
Parents
335
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1.4K
Leading researchers in Dynamic Monitoring. Counts cover only their work on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
EB United States Air Force Research Laboratory | 4 | 75 | 4 |
AR Pennsylvania State University | 4 | 113 | 4 |
VN Marche Polytechnic University | 3 | 82 | 3 |
FG Marche Polytechnic University | 3 | 82 | 3 |
JL University of California, Riverside | 3 | 74 | 3 |
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Leading universities and research organizations in Dynamic Monitoring. Counts cover only their work on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
Xuzhou, China | 38 | 902 | 9 |
Wuhan, China | 21 | 298 | 8 |
Atlanta, United States | 17 | 831 | 6 |
![]() Beijing, China | 22 | 836 | 6 |
![]() Brisbane, Australia | 14 | 2K | 5 |
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Leading journals and conferences in Dynamic Monitoring. Counts cover only their publications on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
6 | 117 | 6 | |
6 | 171 | 6 | |
5 | 180 | 5 | |
4 | 101 | 4 | |
4 | 70 | 4 |
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