1064-8275
Published by: Society for Industrial and Applied Mathematics
https://www.siam.org/publications/journals/siam-journal-on-scientific-computing-sisc
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 19 | 180 | 318 | 31 |
| Engineering and Technology | 254 | 96 | 182 | 27 |
| Computer Science | 365 | 52 | 68 | 16 |
SIAM Journal on Scientific Computing investigates areas of study like Mathematical analysis, Applied mathematics, Numerical analysis, Algorithm and Mathematical optimization. Finite element method and Nonlinear system are some topics wherein Mathematical analysis research discussed in SIAM Journal on Scientific Computing have an impact. Discontinuous Galerkin method and Mixed finite element method are all areas of Finite element method tackled in it.
The studies on Applied mathematics discussed can also contribute to research in the domains of Convergence (routing), Linear system, Iterative method, Preconditioner and Multigrid method. The in-depth study on Multigrid method also explores topics in the intersecting field of Domain decomposition methods. It links adjacent topics like Numerical analysis with Geometry.
In SIAM Journal on Scientific Computing, Matrix (mathematics) and Sparse matrix are investigated in conjunction with one another to address concerns in Algorithm research.
The most cited articles mainly tackle studies in Mathematical analysis, Numerical analysis, Applied mathematics, Algorithm and Mathematical optimization. While the most cited papers focused on Mathematical analysis, they were also able to explore topics like Finite element method and Nonlinear system. The published articles address concerns in Numerical analysis which are intertwined with other disciplines, such as Multigrid method, Differential equation and Geometry.
SIAM Journal on Scientific Computing mainly tackles studies in Applied mathematics, Mathematical analysis, Algorithm, Finite element method and Partial differential equation. It facilitates discussions on Applied mathematics that incorporate concepts from other fields like Linear system, Preconditioner, Inverse problem, Multigrid method and Discretization. The studies on Mathematical analysis discussed can also contribute to research in the domains of Discontinuous Galerkin method, Structure (category theory) and Nonlinear system.
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 SIAM Journal on Scientific Computing (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 SIAM Journal on Scientific Computing (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, 86.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.67% of all publications and 40.00% 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.
Sifan Wang;Yujun Teng;Paris Perdikaris
(2021)Liu Yang;Dongkun Zhang;George Em Karniadakis
(2020)Dongkun Zhang;Ling Guo;George Em Karniadakis
(2020)Christian Beck;Sebastian Becker;Patrick Cheridito;Arnulf Jentzen
(2021)Nicholas H. Nelsen;Andrew M. Stuart
(2021)Fukeng Huang;Jie Shen;Zhiguo Yang
(2020)Xiaoli Chen;Liu Yang;Jinqiao Duan;George Em Karniadakis
(2021)Sergey Dolgov;Dante Kalise;Karl K. Kunisch;Karl K. Kunisch
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