| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Environmental Sciences | 197 | 77 | 132 | 24 |
Stochastic Environmental Research and Risk Assessment mainly deals with areas of study such as Statistics, Computational intelligence, Econometrics, Precipitation and Mathematical optimization. The Statistics research presented places emphasis on topics like Kriging, Bayesian probability, Probability distribution, Estimator and Multivariate statistics. The studies on Computational intelligence discussed can also contribute to research in the domains of Artificial neural network, Algorithm, Data mining and Fuzzy logic.
While Precipitation is the focus of the journal, it also provided insights into the studies of Drainage basin, Climatology and Climate change. The featured Drainage basin study falls within the wider topic of Hydrology. It centers on topics in Hydrology, with a focus on Surface runoff.
The Mathematical optimization study tackled is a key component of adjacent topics in the area of Applied mathematics.
The most cited papers generally zeroe in on subjects such as Statistics, Computational intelligence, Econometrics, Precipitation and Climatology. The Computational intelligence research presented in the published articles focuses mostly on Mathematical optimization and, on occasion, topics in Applied mathematics. The journal articles investigate Precipitation in the context of the closely related subject of areas like
The objective of the journal is to combine knowledge in the areas of Computational intelligence, Statistics, Surface runoff, Artificial intelligence and Precipitation. The Computational intelligence research presented in the journal explores the relationship between Artificial neural network and the closely related topic of Support vector machine. Specifically, studies on Mean squared error are prevalent in the Statistics works discussed.
While Stochastic Environmental Research and Risk Assessment focused on Surface runoff, it was also able to explore topics like Watershed and Water resources. It explores research in Artificial intelligence and the adjacent study of Machine learning. Precipitation research presented in Stochastic Environmental Research and Risk Assessment encompasses a variety of subjects, including Drainage basin, Climatology, Atmospheric sciences and Scale (map).
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 Stochastic Environmental Research and Risk Assessment (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 Stochastic Environmental Research and Risk Assessment (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, 6.58% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.80% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.96% of all publications and 53.05% 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.
Mahiuddin Alamgir;Najeebullah Khan;Najeebullah Khan;Shamsuddin Shahid;Zaher Mundher Yaseen
(2020)Francesco Serinaldi;Fateh Chebana;Chris G. Kilsby
(2020)Rana Muhammad Adnan;Reham R. Mostafa;Ahmed Elbeltagi;Zaher Mundher Yaseen
(2021)Bellie Sivakumar
(2021)A. A. Masrur Ahmed;Ravinesh C. Deo;Afshin Ghahramani;Nawin Raj
(2021)Naeem Saddique;Naeem Saddique;Abdul Khaliq;Christian Bernhofer
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