| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 45 | 132 | 198 | 24 |
Ima Journal of Numerical Analysis is mainly concerned with subjects like Mathematical analysis, Applied mathematics, Finite element method, Numerical analysis and Discretization. Most of the Mathematical analysis studies addressed also intersect with Galerkin method. The study on Galerkin method presented in Ima Journal of Numerical Analysis intersects with the topics under Discontinuous Galerkin method.
Applied mathematics research presented in it encompasses a variety of subjects, including Eigenvalues and eigenvectors, Mathematical optimization, Calculus and Nonlinear system. Ima Journal of Numerical Analysis features Finite element method research that overlaps with concepts in Rate of convergence. The work tackled in Ima Journal of Numerical Analysis goes beyond the discipline of Numerical analysis as it also encompasses Geometry.
The study on Differential equation featured in the journal expounds on the topic of Runge–Kutta methods in particular.
The main points discussed in the journal publications deal with Mathematical analysis, Applied mathematics, Finite element method, Numerical analysis and Partial differential equation. The journal publications with studies in Mathematical analysis featured incorporate elements of Galerkin method and Discontinuous Galerkin method. The published papers tackle studies in Matrix (mathematics) and the interrelated subject of Algorithm to gain insights into Applied mathematics.
The objective of the journal is to combine knowledge in the areas of Applied mathematics, Finite element method, Mathematical analysis, Discretization and Numerical analysis. The research on Applied mathematics featured in the journal combines topics in other fields like Norm (mathematics), Partial differential equation, Stability (probability) and Nonlinear system. While Nonlinear system is the focus of Ima Journal of Numerical Analysis, it also provided insights into the studies of Energy (signal processing) and Residual.
The concepts on Finite element method presented in it can also apply to other research fields, including Rotational symmetry, Parabolic partial differential equation, Least squares and Backward Euler method. The Mathematical analysis study tackling the subject of Boundary value problem is the focus of Ima Journal of Numerical Analysis. Topics in Discretization were tackled in line with various other fields like Boundary (topology), Heat equation and Finite volume method.
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 Ima Journal of Numerical 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 Ima Journal of Numerical 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, 4.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.83% of all publications and 51.08% 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.
Pierre Blanchard;Desmond J. Higham;Nicholas J. Higham
(2021)Hu Chen;Martin Stynes
(2021)Théophile Chaumont-Frelet;Théophile Chaumont-Frelet;Serge Nicaise
(2020)Arnulf Jentzen;Primož Pušnik
(2020)Peter Hansbo;Mats G. Larson;Karl Larsson
(2020)Arnulf Jentzen;Benno Kuckuck;Ariel Neufeld;Philippe von Wurstemberger
(2021)Bingsheng He;Bingsheng He;Feng Ma;Xiaoming Yuan
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 3
