| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 406 | 74 | 101 | 19 |
The primary areas of discussion in Journal of Civil Structural Health Monitoring are Structural health monitoring, Structural engineering, Bridge (nautical), Vibration and Finite element method. Journal of Civil Structural Health Monitoring tackles research works in Structural health monitoring as well as Field (computer science). The studies in Structural engineering featured incorporate elements of Modal and Displacement (vector).
Issues in Modal were discussed, taking into consideration concepts from other disciplines like Normal mode, Operational Modal Analysis, Modal analysis and Masonry. It links adjacent topics like Bridge (nautical) with Simulation. Natural frequency is a focus of the presented Vibration works and it dives deep in Natural frequency.
The journal articles generally zeroe in on subjects such as Structural health monitoring, Structural engineering, Bridge (nautical), Civil engineering and Displacement (vector). The most cited articles address concerns in Structural health monitoring which are intertwined with other disciplines, such as Data mining, Inverse problem, Vibration, Artificial neural network and Bridge (interpersonal). The journal publications facilitate discussions on Structural engineering that incorporate concepts from other fields like Data processing system and Reliability engineering.
The concepts of Structural engineering, Structural health monitoring, Bridge (nautical), Vibration and Finite element method are tackled in Journal of Civil Structural Health Monitoring. Modal, Displacement (vector) and Sensitivity (control systems) are some topics wherein Structural engineering research discussed in the journal have an impact. Aside from Structural health monitoring, it also covered works in the field of Field (computer science).
While the primary focus in the journal is Bridge (nautical), it also dissects topics surrounding Artificial intelligence and Detector as a whole. Modal analysis and Damping ratio research are fields of study within Vibration but they also intertwine with concepts in Accelerometer. The work on Finite element method tackled in Journal of Civil Structural Health Monitoring brings together disciplines like Acceleration and Computer simulation.
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 Civil Structural Health Monitoring (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 Civil Structural Health Monitoring (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, 2.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.13% of all publications and 48.39% 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.
Maurizio Morgese;Farhad Ansari;Marco Domaneschi;Gian Paolo Cimellaro
(2020)Peter G. Hubbard;James Xu;Shenghan Zhang;Matthew Dejong
(2021)Eugene J. Obrien;J. M.W. Brownjohn;D. Hester;F. Huseynov
(2021)Said Quqa;Panagiotis Martakis;Artur Movsessian;Sai Pai
(2021)Chuan-Zhi Dong;Selcuk Bas;Selcuk Bas;F. Necati Catbas
(2020)Andreia Meixedo;Diogo Ribeiro;João Santos;Rui Calçada
(2021)Fabio Di Carlo;Andrea Miano;Ilaria Giannetti;Annalisa Mele
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