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Published by: Elsevier
https://www.journals.elsevier.com/mechanical-systems-and-signal-processing
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 1 | 298 | 1072 | 81 |
| Engineering and Technology | 34 | 261 | 730 | 64 |
| Electronics and Electrical Engineering | 58 | 119 | 251 | 45 |
Mechanical Systems and Signal Processing covers a variety of subjects, including Control theory, Vibration, Algorithm, Structural engineering and Nonlinear system. It explores topics in Control theory which can be helpful for research in disciplines like Control engineering and Modal. The research on Modal featured in Mechanical Systems and Signal Processing combines topics in other fields like Operational Modal Analysis and Modal testing.
Vibration research featured in the journal incorporates concerns from various other topics such as Fault (power engineering), Mechanics, Signal and Bearing (mechanical). The study on Fault (power engineering) presented in the journal intersects with subjects under the field of Artificial intelligence. Mechanical Systems and Signal Processing addresses concerns in Algorithm which are intertwined with other disciplines, such as Signal processing, Frequency domain, Mathematical optimization, System identification and Wavelet.
The presentations discussing Structural engineering offer insights in topics such as Finite element method, Stiffness and Modal analysis. The Nonlinear system study featured in Mechanical Systems and Signal Processing draws connections with the study of Mathematical analysis. The work on Acoustics addressed in Mechanical Systems and Signal Processing expands to the thematically related Electronic engineering.
The most cited articles facilitate discussions on Vibration, Algorithm, Control theory, Signal processing and Fault (power engineering). The journal publications address concerns in Vibration which are intertwined with other disciplines, such as Structural engineering, Electronic engineering, Bearing (mechanical) and Signal. The most cited articles address concerns in the field of Algorithm by exploring it in line with topics in System identification which intersect with Modal analysis and Modal subjects.
Mechanical Systems and Signal Processing generally zeroes in on subjects such as Vibration, Control theory, Algorithm, Acoustics and Nonlinear system. Mechanical Systems and Signal Processing facilitates discussions on Vibration that incorporate concepts from other fields like Power (physics), Structural engineering, Stiffness, Energy (signal processing) and Fault (power engineering). While work presented in it provided substantial information on Fault (power engineering), it also covered topics in Feature extraction and Artificial intelligence.
The research on Control theory tackled can also make contributions to studies in the areas of Noise (signal processing) and Rotor (electric). It is focused mainly on Algorithm, particularly Computation. Issues in Acoustics were discussed, taking into consideration concepts from other disciplines like Modal, Signal, Signal processing and Displacement (vector).
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 Mechanical Systems and Signal Processing (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 Mechanical Systems and Signal Processing (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 2022 edition, 4.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.61% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.60% of all publications and 42.89% 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.
Serkan Kiranyaz;Onur Avci;Osama Abdeljaber;Turker Ince
(2021)Yaguo Lei;Bin Yang;Xinwei Jiang;Feng Jia
(2020)Onur Avci;Osama Abdeljaber;Serkan Kiranyaz;Mohammed Hussein
(2021)Ishan Mistry;Sudeep Tanwar;Sudhanshu Tyagi;Neeraj Kumar
(2020)Purushottam Gangsar;Rajiv Tiwari
(2020)Unknown
(2021)Ying Du;Shengxi Zhou;Xingjian Jing;Yeping Peng
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