| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 355 | 23 | 37 | 8 |
Journal of Agricultural Biological and Environmental Statistics investigates areas of study like Statistics, Econometrics, Bayesian probability, Sampling (statistics) and Estimator. The Statistics study featured in the journal draws connections with the study of Random effects model. It addresses concerns in Econometrics which are intertwined with other disciplines, such as Mark and recapture, Variance (accounting), Multivariate statistics, Statistical model and Mixed model.
Journal of Agricultural Biological and Environmental Statistics explores topics in Bayesian probability which can be helpful for research in disciplines like Inference and Data mining. In particular, the Sampling (statistics) works presented emphasize discussions on Sampling design. The journal focused on Markov chain Monte Carlo research but expanded to cover Markov chain.
The most cited papers primarily tackle Statistics, Econometrics, Data mining, Sampling (statistics) and Estimator. The most cited publications explore topics in Econometrics which can be helpful for research in disciplines like Confidence interval, Variance (accounting), Group testing, Mixed model and Random effects model. The featured Sampling (statistics) studies in the published papers mainly concentrate on Abundance (ecology) but also cover areas of interest in Mark and recapture.
Journal of Agricultural Biological and Environmental Statistics aims to foster the development of research in Statistics, Spatial analysis, Algorithm, Random effects model and Estimator. The journal connects research in Statistics with the related topic of Variance (accounting). In Journal of Agricultural Biological and Environmental Statistics, Covariance, Inference and Data mining are investigated in conjunction with one another to address concerns in Spatial analysis research.
In addition to Algorithm research, it aims to explore topics under Redundancy (engineering) and Identifiability. The journal focuses on Random effects model but the discussions also offer insight into other areas such as Data collection, Probability density function and Markov chain. Sample (statistics), Spline (mathematics), Bias correction and Applied mathematics are some topics wherein Estimator research discussed in it have an impact.
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 Journal of Agricultural Biological and Environmental 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 Journal of Agricultural Biological and Environmental 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, 4.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.17% of all publications and 33.33% 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.
Huang Huang;Sameh Abdulah;Ying Sun;Hatem Ltaief
(2021)Ross Towe;Jonathan Tawn;Emma Eastoe;Rob Lamb
(2020)Yuanzhi Huang;Steven G. Gilmour;Kalliopi Mylona;Peter Goos
(2020)Yuan Yan;Hsin-Cheng Huang;Marc G. Genton
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