| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 176 | 52 | 67 | 13 |
Bit Numerical Mathematics investigates studies in Mathematical analysis, Applied mathematics, Algorithm, Combinatorics and Discrete mathematics. It connects the study in Mathematical analysis with the closely related area of Convergence (routing). Most of the works presented in Bit Numerical Mathematics deals with Applied mathematics but it intersects with the subject of Mathematical optimization.
The journal papers generally zeroe in on subjects such as Mathematical analysis, Applied mathematics, Numerical analysis, Algorithm and Differential equation. Mathematical analysis research in the published papers connects with the study of Stability (probability). The studies on Applied mathematics discussed at the most cited publications can also contribute to research in the domains of Matrix (mathematics), Iterative method, Mathematical optimization, Generalized minimal residual method and Calculus.
The journal is mainly concerned with subjects like Applied mathematics, Convergence (routing), Discretization, Matrix (mathematics) and Stability (probability). The journal explores research in Applied mathematics alongside concepts in Preconditioner and other areas of study in Circulant matrix. While Convergence (routing) is the focus of Bit Numerical Mathematics, it also provided insights into the studies of Scheme (mathematics), Numerical analysis, Runge–Kutta methods and Exponential function.
The Discretization study featured in Bit Numerical Mathematics draws parallels with the field of Finite element method. The Matrix (mathematics) study featured in Bit Numerical Mathematics draws connections with the study of Rank (linear algebra). The journal focuses on Rank (linear algebra) research which is adjacent to topics in Algorithm.
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 Bit Numerical Mathematics (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 Bit Numerical Mathematics (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, 30.99% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.27% of all publications and 65.31% 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.
Gianluca Ceruti;Christian Lubich
(2021)Jacob D. Moorman;Thomas K. Tu;Denali Molitor;Deanna Needell
(2021)Lloyd N. Trefethen
(2020)Sedigheh Sabermahani;Yadollah Ordokhani;Sohrab Ali Yousefi
(2020)Eleonora Musharbash;Fabio Nobile;Eva Vidličková
(2020)Martin J. Gander;Felix Kwok;Bankim C. Mandal
(2021)Erik Burman;Peter Hansbo;Mats G. Larson
(2020)Jing Sun;Daxin Nie;Weihua Deng
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