2155-3289
Published by: American Institute of Mathematical Sciences
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 483 | 23 | 26 | 5 |
The journal mostly deals with topics like Applied mathematics, Mathematical optimization, Convergence (routing), Optimal control and Nonlinear system. The concepts on Applied mathematics presented in the journal can also apply to other research fields, including Iterative method, Numerical analysis, Linear system and Class (set theory). Topics in Mathematical optimization explored in the journal were investigated in conjunction with research in Function (mathematics) and Nonlinear programming.
The studies tackled, which mainly focus on Convergence (routing), apply to Algorithm as well. Research in Nonlinear system tackled falls within the umbrella of Control theory. The Control theory works, particularly on Control theory are tackled in Numerical Algebra, Control and Optimization.
The most cited articles mainly tackle studies in Mathematical optimization, Optimal control, Nonlinear system, Applied mathematics and Convergence (routing). The published Mathematical optimization research zeroes in on concepts in Global optimization but also tackles themes under Substitution (logic). The most cited papers focus on Nonlinear system but the discussions also offer insight into other areas such as Sequence and Coverage control.
Numerical Algebra, Control and Optimization primarily focuses on research topics in Applied mathematics, Mathematical optimization, Convergence (routing), Combinatorics and Control theory. Applied mathematics works presented in the journal have a specific focus on Variational inequality. Some problems in Mathematical optimization that were presented in Numerical Algebra, Control and Optimization overlapped with concepts under Boundary values and Type (model theory).
It holds forums on Convergence (routing) that merges themes from other disciplines such as Scheme (mathematics), Particle swarm optimization, Function (mathematics) and Hilbert space. While the journal focused on Combinatorics, it was also able to explore topics like Matrix (mathematics) and Diagonally dominant matrix. The research on Optimal control featured in the journal combines topics in other fields like Discretization, Quadratic programming, Solver 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 Numerical Algebra, Control and Optimization (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 Numerical Algebra, Control and Optimization (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
Reza Lotfi;Yahia Zare Mehrjerdi;Mir Saman Pishvaee;Ahmad Sadeghieh
(2021)Sankar Kumar Roy;Magfura Pervin;Gerhard Wilhelm Weber
(2020)Muhammad Aslam Noor;Khalida Inayat Noor
(2020)Tobias Breiten;Sergey Dolgov;Martin Stoll
(2020)John T. Betts;Stephen L. Campbell;Claire Digirolamo
(2020)Muhammad Aslam Noor;Khalida Inayat Noor
(2021)John T. Betts;Stephen Campbell;Claire Digirolamo
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