| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 575 | 12 | 17 | 4 |
The discussions in Environmental and Ecological Statistics mainly cover the fields of Statistics, Econometrics, Sampling (statistics), Estimator and Bayesian probability. The Statistics study featured in the journal draws parallels with the field of Cluster sampling. While Econometrics is the focus of Environmental and Ecological Statistics, it also provided insights into the studies of Mark and recapture, Ecology (disciplines), Inference, Confidence interval and Regression analysis.
Simple random sample, Stratified sampling and Data mining are some topics wherein Sampling (statistics) research discussed in it have an impact. Markov chain Monte Carlo and Bayesian inference are all topics related to Bayesian probability research discussed. Environmental and Ecological Statistics centers on topics in Sampling design, with a focus on Slice sampling.
The most cited articles tackle a plethora of topics, such as Statistics, Econometrics, Data mining, Sampling (statistics) and Kriging. The study of Statistics in the most cited papers encompasses disciplines such as Biodiversity, as well as fields such as Measure (mathematics), all of which overlap with one another. The studies on Econometrics discussed at the most cited articles can also contribute to research in the domains of Logistic regression, Bayesian probability, Bayesian inference, Range (statistics) and Multivariate statistics.
Environmental and Ecological Statistics is organized to address concerns in the fields of Econometrics, Statistics, Natural resource economics, Sampling (statistics) and Estimator. Topics in Econometrics explored in Environmental and Ecological Statistics were investigated in conjunction with research in Simple (philosophy), Model complexity and Population model. The studies in Statistics featured incorporate elements of Salient and Flash flood.
Environmental and Ecological Statistics facilitates discussions in Preferential sampling as part of the larger field of Sampling (statistics), however, it also tackles fields such as Random effects model. In addition to Estimator research, the journal aims to explore topics under Covariate, Monte Carlo method, Applied mathematics and Conditional probability distribution. The journal deals with Covariate in conjunction with Statistical model and similar fields in Bayesian probability.
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 Environmental and Ecological 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 Environmental and Ecological 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, 10.42% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.98% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.95% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.95% of all publications and 65.12% 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.
Becky Tang;James S. Clark;James S. Clark;Alan E. Gelfand
(2021)Alan E. Gelfand;Alan E. Gelfand;Shinichiro Shirota;Shinichiro Shirota
(2021)Fábio Prataviera;Selene M. C. Loibel;Kathleen F. Grego;Edwin M. M. Ortega
(2020)Gen Nowak;Alan Welsh
(2020)David B. Huberman;Brian J. Reich;Howard D. Bondell
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