1534-0392
Published by: American Institute of Mathematical Sciences
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 167 | 85 | 115 | 13 |
The journal is organized to address concerns in the fields of Mathematical analysis, Combinatorics, Nonlinear system, Pure mathematics and Mathematical physics. Mathematical analysis study tackled is connected to the field of Boundary (topology). The studies on Combinatorics discussed can also contribute to research in the domains of Nabla symbol, Omega, Domain (ring theory), Lambda and Laplace operator.
It explores issues in Nonlinear system which can be linked to other research areas like Attractor and Applied mathematics. Pure mathematics research discussed connects with the study of Type (model theory). The studies in Mathematical physics featured incorporate elements of Nonlinear Schrödinger equation and Schrödinger equation.
Studies on Bounded function discussed in Communications on Pure and Applied Analysis link to the field of Domain (mathematical analysis).
The published articles mainly tackle studies in Mathematical analysis, Pure mathematics, Nonlinear system, Bounded function and Boundary value problem. The published articles focus on Mathematical analysis research which is adjacent to topics in Type (model theory). Issues in Nonlinear system were discussed in the most cited papers, taking into consideration concepts from other disciplines like Mathematical physics, Partial differential equation and Schrödinger equation.
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 Communications on Pure and Applied Analysis (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 Communications on Pure and Applied Analysis (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, 98.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% 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 33.33% of all publications and 66.67% 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.
Long Huang;Jun Liu;Dachun Yang;Wen Yuan
(2020)Umberto Biccari;Mahamadi Warma;Enrique Zuazua
(2020)Liang Bai;Juan J. Nieto;José M. Uzal
(2020)Monica Conti;Filippo Dell'Oro;Vittorino Pata
(2020)Meng Zhao;Wantong Li;Yihong Du
(2020)H. N. Mhaskar;Tomaso A. Poggio
(2020)Xiongxiong Bao;Wan-Tong Li;Zhi-Cheng Wang
(2020)Tomás Caraballo;Mohamed El Fatini;Idriss Sekkak;Regragui Taki
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