Journal of Sound and Vibration
Published by Elsevier
ISSN : 0022-460X eISSN : 1095-8568
Abbreviation : J. Sound Vib.
Aims & Scope
The Journal of Sound and Vibration (JSV) is an independent journal devoted to the prompt publication of original papers, both theoretical and experimental, that provide new information on any aspect of sound or vibration.
There is an emphasis on fundamental work that has potential for practical application.
JSV was founded and operates on the premise that the subject of sound and vibration requires a journal that publishes papers of a high technical standard across the various subdisciplines, thus facilitating awareness of techniques and discoveries in one area that may be applicable in others.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 4.9 |
2024 | 4.30 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 1.534 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 222 |
Journal Rank
Year | Value |
---|---|
2024 | 2289 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 8608 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Physics and Astronomy, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Damping of structural vibrations with piezoelectric materials and passive electrical networks
Citation: 1313
Authors: N.W., A.
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Guided Lamb waves for identification of damage in composite structures: A review
Citation: 1252
Authors: Zhongqing, Lin, Ye
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Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
Citation: 1227
Authors: Hai, Jay, Jing, Gang
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Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Citation: 1069
Authors: Osama, Onur, Serkan, Moncef, Daniel J.
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Convolutional Neural Network Based Fault Detection for Rotating Machinery
Citation: 1057
Authors: Olivier, Viktor, Bram, Kurt, Mia, Steven, Rik, Sofie