| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 294 | 40 | 55 | 9 |
The aim of Journal of Approximation Theory is to expand the discussion of research in Mathematical analysis, Discrete mathematics, Combinatorics, Pure mathematics and Applied mathematics. While work presented in it provided substantial information on Mathematical analysis, it also covered topics in Function (mathematics) and Type (model theory). The journal explores issues in Discrete mathematics which can be linked to other research areas like Space (mathematics) and Bounded function.
Issues in Combinatorics were discussed, taking into consideration concepts from other disciplines like Norm (mathematics), Sequence and Polynomial. The journal features Pure mathematics research that overlaps with concepts in Algebra. It explores research in Applied mathematics and the adjacent study of Mathematical optimization.
The journal primarily discusses Orthogonal polynomials topics, particularly Jacobi polynomials, Gegenbauer polynomials, Wilson polynomials and Hahn polynomials. While Jacobi polynomials is the key highlight in Journal of Approximation Theory, it also covered some subjects on Classical orthogonal polynomials and Difference polynomials. Spline interpolation, Polynomial interpolation and Birkhoff interpolation are all topics related to Interpolation research discussed.
The published articles mostly deal with topics like Mathematical analysis, Discrete mathematics, Combinatorics, Pure mathematics and Orthogonal polynomials. The published articles hold forums on Mathematical analysis that merge themes from other disciplines such as Function (mathematics) and Applied mathematics. The journal papers explore topics in Discrete mathematics which can be helpful for research in disciplines like Bounded function, Type (model theory) and Hilbert space.
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 Approximation Theory (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 Approximation Theory (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 2022 edition, 0.00% 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 0.00% of all publications and 100.00% 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.
Long Huang;Jun Liu;Dachun Yang;Wen Yuan
(2020)Karlheinz Gröchenig
(2020)Marjolein Leurs;Walter Van Assche
(2020)Patrick L. Combettes;Zev C. Woodstock
(2021)Peter J. Forrester;Shi-Hao Li;Allan K. Trinh
(2021)Lam Si Tung Ho;Hayden Schaeffer;Giang Tran;Rachel Ward
(2020)Alexander I. Aptekarev;Rostyslav Kozhan
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