| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 4 | 188 | 566 | 46 |
The journal tackles a plethora of topics, such as Mathematical analysis, Applied mathematics, Discretization, Mechanics and Classical mechanics. The research on Mathematical analysis tackled can also make contributions to studies in the areas of Finite element method and Nonlinear system. The majority of Finite element method studies in the journal are focused on the subject of Mixed finite element method.
Applied mathematics research featured in the journal incorporates concerns from various other topics such as Polygon mesh, Finite volume method, Solver, Mathematical optimization and Discontinuous Galerkin method. The work on Mathematical optimization addressed in the journal expands to the thematically related Algorithm. Issues in Discretization were discussed, taking into consideration concepts from other disciplines like Navier–Stokes equations and Finite difference.
It investigates Mechanics research which frequently intersects with Geometry. The journal connects the study in Boundary value problem with the closely related area of Boundary (topology). Discussions in Journal of Computational Physics are anchored in the subject of Partial differential equation and the similar topic of Differential equation.
The most cited articles focus largely on the fields of Mathematical analysis, Applied mathematics, Classical mechanics, Mechanics and Discretization. The published articles explore topics in Mathematical analysis which can be helpful for research in disciplines like Finite element method and Nonlinear system. While Applied mathematics is the key highlight in the published papers, thet also covered some subjects on Mathematical optimization and Algorithm.
The aim of the journal is to expand the discussion of research in Applied mathematics, Mechanics, Mathematical analysis, Discretization and Finite volume method. The concepts on Applied mathematics presented in Journal of Computational Physics can also apply to other research fields, including Energy (signal processing), Automatic differentiation, Order of accuracy, Nonlinear system and Discontinuous Galerkin method. Concepts in Numerical analysis, as well as related topics in Stochastic matrix, Nonlinear Schrödinger equation and Quadratic equation, are covered in the Mechanics research presented in the journal.
The studies on Mathematical analysis discussed can also contribute to research in the domains of Field (physics), Immersed boundary method and Point (geometry). It explores issues in Discretization which can be linked to other research areas like Work (thermodynamics), Gravitational singularity, Preconditioner, Boundary (topology) and Couette flow. The featured Finite volume method studies mainly concentrate on Turbulence but also cover areas of interest in Invariant (physics) and Tensor.
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 Computational Physics (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 Computational Physics (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, 6.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.87% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.87% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.74% of all publications and 56.52% 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.
Ameya D. Jagtap;Kenji Kawaguchi;George Em Karniadakis;George Em Karniadakis
(2020)Xuhui Meng;George Em Karniadakis;George Em Karniadakis
(2020)Anna Lischke;Guofei Pang;Mamikon A. Gulian;Fangying Song
(2020)Yaohua Zang;Gang Bao;Xiaojing Ye;Haomin Zhou
(2020)Unknown
(2022)Khemraj Shukla;Ameya D. Jagtap;George Em Karniadakis
(2021)Wenqian Chen;Wenqian Chen;Qian Wang;Jan S. Hesthaven;Chuhua Zhang
(2021)Saddam Hijazi;Giovanni Stabile;Andrea Mola;Gianluigi Rozza
(2020)Shengze Cai;Zhicheng Wang;Lu Lu;Tamer A. Zaki
(2021)For those interested in advancing their education in Computer Science, pursuing online degrees offers flexible and accessible options. Many students look for the easiest masters degree to get online, which can provide a strong foundation while accommodating busy schedules. These programs often focus on practical skills that align with tech industry demands.
For advanced learners, exploring the cheapest doctorate degree online allows an affordable way to achieve the highest academic credentials. Doctorate degrees can open doors to research, academic positions, and leadership roles in technology firms.
Financial considerations are crucial. Students should consider online colleges that accept financial aid, making education more attainable. The list of online colleges that take financial aid highlights cost-effective institutions, ensuring that tuition doesn’t become a barrier.
Additionally, earning certifications can boost employability and salary potential. Exploring what certificates can i get online helps students identify valuable credentials that complement their Computer Science background and enhance career pathways in a competitive tech market.
