| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 647 | 12 | 35 | 3 |
Chance covers a variety of subjects, including Statistics, Data science, Statistician, Artificial intelligence and Mathematics education.
The journal publications focus largely on the fields of Statistics, Machine learning, Artificial intelligence, Calculus and Actuarial science. While Statistics is the focus of the most cited papers, it also provides insights into the studies of Data management, Visualization, Edge (geometry), Data science and Stage (hydrology). The published papers tackle research in Online machine learning, Algorithmic learning theory, Learning classifier system and Active learning (machine learning) as part of the general discipline of Artificial intelligence, however, they also discuss concepts in Relevance vector machine.
The primary areas of discussion in Chance are Data science, 2019-20 coronavirus outbreak, Pandemic, Actuarial science and Law. It aims to bridge the gap between the study of Data science and Exploratory survey. The research on 2019-20 coronavirus outbreak featured in Chance combines topics in other fields like Context (language use), Social issues, Field (Bourdieu) and Statistics education.
It tackles research in Pandemic and various other disciplines, including Value proposition, Excellence, Metric (unit), Health policy and Economic impact analysis. The studies in Actuarial science featured incorporate elements of Empirical research, Crash and Public good. It holds forums on Law that merges themes from other disciplines such as Polling, Correspondence analysis and Statistician.
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 Chance (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 Chance (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, 53.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 50.00% of all publications and 28.57% 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.
Andrew Gelman;Alexey Guzey
(2020)Yoav Benjamini;Richard D. De Veaux;Bradley Efron;Scott Evans
(2021)Christian Robert
(2021)Andrew Gelman
(2020)Christian Robert
(2021)Christian Robert
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