| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Earth Science | 219 | 21 | 56 | 17 |
| Engineering and Technology | 454 | 22 | 55 | 18 |
The journal aims to foster the development of research in Geotechnical engineering, Reliability (statistics), Probabilistic logic, Structural engineering and Monte Carlo method. It focuses on Geotechnical engineering but the discussions also offer insight into other areas such as Soil water, Finite element method, Random field and Spatial variability. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards holds forums on Reliability (statistics) that merges themes from other disciplines such as Reliability engineering, Flood myth and Civil engineering.
The Probabilistic logic study tackled is a key component of adjacent topics in the area of Bayesian probability. The Bayesian probability study featured in Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards draws connections with the study of Data mining. Discussions in the journal are anchored in the subject of Structural engineering and the similar topic of Stability (probability).
The work tackled in it goes beyond the discipline of Monte Carlo method as it also encompasses Factor of safety.
The most cited publications tackle a plethora of topics, such as Geotechnical engineering, Probabilistic logic, Slope stability, Monte Carlo method and Landslide. The studies on Geotechnical engineering discussed at the journal publications can also contribute to research in the domains of Probability of failure, Soil water, Soil properties, Finite element method and Spatial variability. The published papers focus on Probabilistic logic research which is adjacent to topics in Reliability (statistics).
The concepts of Geotechnical engineering, Soil water, Soil science, Reliability (statistics) and Probabilistic logic are tackled in Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. Topics in Geotechnical engineering were tackled in line with various other fields like Spatial variability, Markov chain Monte Carlo and Bayesian inference. The research on Soil water featured in the journal combines topics in other fields like Full scale test, Soil structure interaction, Monte Carlo method and Shallow foundation.
The Soil test studies presented in it fall under the field of Soil science, but it also has connections to other fields such as Multiple layer. Soil horizon and Geophysical imaging are some topics wherein Reliability (statistics) research discussed in the journal have an impact. Some problems in Probabilistic logic that were presented in it overlapped with concepts under Test (assessment), Rock engineering and Kriging.
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 Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards (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 Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards (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, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.57% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.19% of all publications and 38.10% 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.
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(2022)Wengang Zhang;Chongzhi Wu;Yongqin Li;Lin Wang
(2021)Kok Kwang Phoon;Jianye Ching;Takayuki Shuku
(2021)Kok Kwang Phoon
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