2297-4687
Published by: Frontiers Media S.A.
https://www.frontiersin.org/journals/applied-mathematics-and-statistics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 386 | 31 | 38 | 7 |
The primary areas of discussion in Frontiers in Applied Mathematics and Statistics are Artificial intelligence, Algorithm, Econometrics, Nonlinear system and Applied mathematics. The journal addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Pattern recognition. While it focused on Algorithm, it was also able to explore topics like Gradient descent and Data assimilation.
The published articles are organized to reinforce research efforts on Algorithm, Deep learning, Artificial intelligence, Artificial neural network and Function (mathematics). In addition to Algorithm research, the journal publications aim to explore topics under Segmentation and Linear subspace. The most cited papers address concerns in Artificial intelligence which are intertwined with other disciplines, such as Test (assessment) and Machine learning.
Frontiers in Applied Mathematics and Statistics was organized to reinforce research efforts on Artificial intelligence, Algorithm, Machine learning, Data assimilation and Econometrics. The concepts on Artificial intelligence presented in the journal can also apply to other research fields, including Missing data and Pattern recognition. The studies on Algorithm discussed can also contribute to research in the domains of Gradient descent, Reservoir computing, Metric (mathematics) and Nonlinear system.
The studies in Machine learning featured incorporate elements of Algorithmic trading and Big data. The research on Data assimilation tackled can also make contributions to studies in the areas of Kalman filter and Histogram. The study on Econometrics presented in it intersects with the topics under Epidemic model.
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 Frontiers in Applied Mathematics and 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 Frontiers in Applied Mathematics and 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, 84.81% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% 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 25.00% of all publications and 50.00% 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.
Jean-Pierre Fouque;Zhaoyu Zhang
(2020)Kevin Bui;Fredrick Park;Shuai Zhang;Yingyong Qi
(2021)Su Jiang;Mun-Hong Hui;Louis J. Durlofsky
(2021)Hrushikesh N. Mhaskar
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