| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 526 | 10 | 15 | 5 |
The journal covers a variety of subjects, including Control theory, Control engineering, Mathematical optimization, Applied mathematics and Nonlinear system. The Control engineering works, particularly on Modelica are tackled in Mathematical and Computer Modelling of Dynamical Systems. The in-depth study on Mathematical optimization also explores topics in the intersecting field of Model order reduction.
Mathematical and Computer Modelling of Dynamical Systems focuses on Applied mathematics research which is adjacent to topics in Mathematical analysis.
The most cited publications explore disciplines such as Mathematical optimization, Control engineering, Control theory, Nonlinear system and Applied mathematics. The journal papers explore topics in Mathematical optimization which can be helpful for research in disciplines like Discrete mathematics, Reduction (complexity), Model order reduction and Noise. The published papers feature works in Control engineering, more specifically Modelica, and explore their relation to disciplines like Context (language use).
Mathematical and Computer Modelling of Dynamical Systems is mainly concerned with subjects like Finite element method, Mechanism (engineering), Artificial neural network, Artificial intelligence and Mathematical model. While Mechanism (engineering) is the key highlight in Mathematical and Computer Modelling of Dynamical Systems, it also covered some subjects on Kinematics and Control engineering. Mathematical and Computer Modelling of Dynamical Systems explores issues in Control engineering which can be linked to other research areas like Assistive device and Exoskeleton.
The subject of Feature (computer vision), which is connected to the field of Nonlinear system, serves as the foundation of the Artificial neural network research featured in it. The studies on Nonlinear system discussed can also contribute to research in the domains of Algorithm and Polynomial neural network. Artificial intelligence research featured in Mathematical and Computer Modelling of Dynamical Systems incorporates concerns from various other topics such as Exoskeleton Device, Particle swarm optimization and Field (computer science).
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 Mathematical and Computer Modelling of Dynamical Systems (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 Mathematical and Computer Modelling of Dynamical Systems (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, 5.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 6.25% of all publications and 62.50% 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.
R. Altmann;V. Mehrmann;B. Unger
(2021)Shaima Magdaline Dsouza;Tahsin Khajah;Xavier Antoine;Stéphane Bordas;Stéphane Bordas;Stéphane Bordas
(2021)S. A Matveev;A. A Sorokin;A. P Smirnov;E.E. Tyrtyshnikov
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