| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 186 | 27 | 77 | 13 |
The primary areas of discussion in spatial statistics are Statistics, Spatial analysis, Data mining, Econometrics and Point process. Covariate, Kriging, Estimator, Spatial dependence and Multivariate statistics are among the areas of Statistics tackled. The journal centers on topics in Kriging, with a focus on Variogram.
The subject of Applied mathematics, which is connected to the field of Mathematical optimization and Random field, serves as the foundation of the Estimator research featured in it. The journal investigates Spatial analysis research which frequently intersects with Algorithm. The study of Algorithm encompasses disciplines such as Covariance, as well as fields such as Statistical physics, all of which overlap with one another.
In addition to Data mining research, spatial statistics aims to explore topics under Inference and Bayesian probability. Spatial statistics addresses concerns in the field of Econometrics by exploring it in line with topics in Bayesian inference which intersect with Markov chain Monte Carlo subjects. Some problems in Point process that were presented in the journal overlapped with concepts under Point (geometry) and Cluster analysis.
The journal publications focus on Statistics, Data mining, Spatial analysis, Statistical physics and Applied mathematics. The journal papers explore issues in Statistics which can be linked to other research areas like Point (geometry) and Scaling. While the journal papers focused on Data mining, they were also able to explore topics like Sampling (statistics), Smoothing, Statistical model and Cluster analysis.
The objective of spatial statistics is to combine knowledge in the areas of Spatial analysis, Statistics, Algorithm, Cluster analysis and Spatial dependence. Spatial analysis research featured in spatial statistics incorporates concerns from various other topics such as Regression analysis, Spatial correlation, Data mining and Bayesian probability. The journal facilitated presentations on Statistics research, particularly Covariate, Covariance, Kriging, Model selection and Overdispersion.
In spatial statistics, Applied mathematics and Random field are investigated in conjunction with one another to address concerns in Covariance research. Topics in Algorithm were tackled in line with various other fields like Bayesian inference and Markov chain Monte Carlo. The Cluster analysis works featured in the journal incorporate elements from Spatial ecology, Point process, Regression and Statistical inference.
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 spatial statistics (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 spatial statistics (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, 2.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.78% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.89% of all publications and 48.89% 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.
Adrian Baddeley;Adrian Baddeley;Gopalan Nair;Suman Rakshit;Greg McSwiggan
(2021)Andrew Zammit-Mangion;Christopher K. Wikle
(2020)Sujit K. Sahu;Dankmar Böhning
(2021)Mathilde Grimée;Maria Bekker-Nielsen Dunbar;Felix Hofmann;Leonhard Held
(2021)Mary Lai O. Salvaña;Marc G. Genton
(2020)Pierpaolo D’Urso;Vincenzina Vitale
(2020)Jorge Mateu;Mohammad Mehdi Moradi;Ottmar Cronie
(2020)Pierpaolo D’Urso;Livia De Giovanni;Vincenzina Vitale
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