| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 430 | 7 | 8 | 3 |
| Engineering and Technology | 1353 | 9 | 11 | 3 |
Journal of Vibroengineering was organized to reinforce research efforts on Vibration, Structural engineering, Control theory, Finite element method and Acoustics. The studies on Vibration discussed can also contribute to research in the domains of Fault (power engineering), Mechanics, Bearing (mechanical) and Nonlinear system. In addition to Fault (power engineering) research, it aims to explore topics under Algorithm, Signal, Artificial intelligence and Pattern recognition.
More specifically, the research on Artificial intelligence in Journal of Vibroengineering is related to Feature extraction. The journal focused on Mechanics research but expanded to cover Amplitude. Topics in Structural engineering were tackled in line with various other fields like Modal, Acceleration and Computer simulation.
Control theory research is the primary subject tackled in it with a focus on Control theory. Modal analysis is a key component of Finite element method research discussed in the journal. The presentations discussing Acoustics offer insights in topics such as Noise and Sound pressure.
The most cited papers focus largely on the fields of Vibration, Structural engineering, Fault (power engineering), Control theory and Artificial intelligence. The discussions in the journal articles emphasized the topic of Vibration in an attempt to further explore the field of Acoustics. The Structural engineering research tackled in the most cited publications is interrelated with Acceleration which concerns subjects like Displacement (vector).
The journal is organized to address concerns in the fields of Vibration, Structural engineering, Control theory, Acoustics and Fault (power engineering). Topics in Vibration explored in Journal of Vibroengineering were investigated in conjunction with research in Finite element method, Amplitude, Mechanics, Acceleration and Wavelet transform. Some problems in Structural engineering that were presented in Journal of Vibroengineering overlapped with concepts under Displacement (vector) and Vibration isolation.
It concentrated on Control theory research, specifically Control theory and Nonlinear system. The journal facilitates discussions on Fault (power engineering) that incorporate concepts from other fields like Signal, Artificial intelligence, Bearing (mechanical) and Autocorrelation. The journal explores issues in Signal which can be linked to other research areas like Algorithm and Envelope (mathematics).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Journal of Vibroengineering (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Journal of Vibroengineering (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Marcello Morgantini;Raimondo Betti
(2020)Yunshan Liu;Feng Shang;Zhuo Xu;Bangchun Wen
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