| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 251 | 21 | 30 | 11 |
| Computer Science | 529 | 30 | 37 | 11 |
ACM Transactions on Mathematical Software mostly deals with topics like Algorithm, Fortran, Parallel computing, Applied mathematics and Mathematical analysis. Matrix (mathematics), Sparse matrix, Software and Mathematical optimization are some topics wherein Algorithm research discussed in it have an impact. The Sparse matrix study tackled is a key component of adjacent topics in the area of Sparse approximation.
Topics in Fortran explored in the journal were investigated in conjunction with research in Computational science and Subroutine. The journal explores issues in Parallel computing which can be linked to other research areas like Solver and Linear algebra.
The journal articles mostly deal with topics like Algorithm, Fortran, Mathematical optimization, Sparse matrix and Software. The most cited publications mainly concentrate on Algorithm but also investigate its connection with concepts in disciplines such as
The journal is mainly concerned with subjects like Algorithm, Applied mathematics, Software, Solver and Parallel computing. Fast Fourier transform is a key component of Algorithm research discussed in it. In addition to Applied mathematics research, it aims to explore topics under Linear system, Linear subspace, Singular value decomposition, Algebraic number and Shared memory.
It holds forums on Software that merges themes from other disciplines such as Structure (category theory), Development (topology), Topology, Saddle point and Runge–Kutta methods. Aside from discussions in Solver, ACM Transactions on Mathematical Software also deals with the subject of Finite element method which intersects with Tensor product, Point (geometry) and Adaptive mesh refinement disciplines. The featured Parallel computing studies mainly concentrate on Linear algebra but also cover areas of interest in Block (data storage), Preconditioner, Matrix (mathematics), Domain (software engineering) and Xeon.
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 ACM Transactions on Mathematical Software (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 ACM Transactions on Mathematical Software (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, 3.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.33% of all publications and 56.67% 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.
Fabio Luporini;Mathias Louboutin;Michael Lange;Navjot Kukreja
(2020)David Blackman;Sebastiano Vigna
(2021)Umberto Villa;Noemi Petra;Omar Ghattas
(2021)Grey Ballard;Alicia Klinvex;Tamara G. Kolda
(2020)Ahmad Abdelfattah;Timothy Costa;Jack Dongarra;Mark Gates
(2021)For those considering a flexible approach to studying Computer Science, exploring options like the cheapest self-paced online college can be a game-changer. These programs allow learners to progress at their own speed without the pressure of traditional semester deadlines, making education more accessible.
Advanced career opportunities often require a master's degree, but affordability is key. Finding inexpensive masters degrees enables students to gain expert knowledge and skills without accumulating heavy debt, making career growth more feasible.
Not everyone is ready for a lengthy commitment. Many start with the shortest associate degree program, which provides essential foundational skills while allowing students to enter the workforce sooner or continue their education later.
When choosing an online program, accreditation matters. The best online degree programs ensure quality education that employers recognize, enhancing your job prospects in the competitive tech industry.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 1
