| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 208 | 63 | 152 | 31 |
Structural Safety tackles a plethora of topics, such as Reliability (statistics), Structural engineering, Mathematical optimization, Probabilistic logic and Algorithm. In addition to Reliability (statistics) research, Structural Safety aims to explore topics under Random variable, Reliability engineering, Structural system, Limit state design and Monte Carlo method. Issues in Random variable were discussed, taking into consideration concepts from other disciplines like Probability distribution, Probability density function and Applied mathematics.
Applied mathematics research presented in it encompasses a variety of subjects, including Statistics and Calculus. Importance sampling is a major topic of Monte Carlo method research presented in Structural Safety. Geotechnical engineering, Computer simulation, Corrosion and Nonlinear system are some topics wherein Structural engineering research discussed in it have an impact.
Mathematical optimization works presented in the journal have a specific focus on Optimization problem. It connects the study in Probabilistic logic with the closely related area of Statistical model. The study on Algorithm presented is investigated in conjunction with research in Sampling (statistics).
The published papers investigate areas of study like Reliability (statistics), Algorithm, Monte Carlo method, Structural engineering and Mathematical optimization. The most cited papers facilitate discussions on Reliability (statistics) that incorporate concepts from other fields like Random variable, Reliability engineering, Structural system, Computation and Calculus. The featured Monte Carlo method studies in the published articles mainly concentrate on Limit state design but also cover areas of interest in Limit (mathematics).
Structural Safety facilitates discussions on Reliability (statistics), Context (language use), Gaussian process, Tsunami hazard and Sea level rise. It aims to bridge the gap between the study of Reliability (statistics) and Sea state. Context (language use) research featured in the journal incorporates concerns from various other topics such as Probabilistic methodology, Damages, Community resilience and Forensic engineering.
Topics in Gaussian process explored in it were investigated in conjunction with research in Curse of dimensionality, Identification (information), Importance sampling, Dimensionality reduction and Algorithm. Tsunami hazard research presented in Structural Safety encompasses a variety of subjects, including Probabilistic logic and Climatology.
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 Structural Safety (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 Structural Safety (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, 14.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 50.00% 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.
Unknown
(2022)Unknown
(2021)Xufang Zhang;Lei Wang;John Dalsgaard Sørensen
(2020)Unknown
(2023)Kai Cheng;Zhenzhou Lu
(2020)Matthias G.R. Faes;Matthias G.R. Faes;Marco Daub;Marco Daub;Stefano Marelli;Edoardo Patelli;Edoardo Patelli
(2021)Shiyin Wei;Yuequan Bao;Hui Li
(2020)Wanying Yun;Wanying Yun;Zhenzhou Lu;Xian Jiang;Leigang Zhang
(2020)Taeyong Kim;Junho Song;Oh-Sung Kwon
(2020)Daniel Straub;Ronald Schneider;Elizabeth Bismut;Hyun-Joong Kim
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