| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 542 | 8 | 8 | 5 |
Journal of Mathematics in Industry aims to foster the development of research in Mathematical optimization, Applied mathematics, Mechanical engineering, Mechanics and Numerical analysis. Journal of Mathematics in Industry holds forums on Mathematical optimization that merges themes from other disciplines such as Reduction (complexity) and Nonlinear system. While work presented in it provided substantial information on Reduction (complexity), it also covered topics in Basis (linear algebra), Partial differential equation and Parametric model.
While Applied mathematics is the key highlight in Journal of Mathematics in Industry, it also covered some subjects on Ordinary differential equation and Controllability. In addition to Mechanical engineering research, Journal of Mathematics in Industry aims to explore topics under Computational fluid dynamics, Papermaking and Computer simulation. Some problems in Computational fluid dynamics that were presented in Journal of Mathematics in Industry overlapped with concepts under Industrial engineering and Robustness (computer science).
Many of the research works in Mechanics, specifically Fluid dynamics, closely connected to disciplines like Direct numerical simulation. Numerical analysis research presented in Journal of Mathematics in Industry encompasses a variety of subjects, including Dynamical system and Optics. The work on Model order reduction tackled in it brings together disciplines like Electronic circuit, Parametric statistics and Galerkin method.
The journal papers are organized to address concerns in the fields of Mathematical optimization, Mechanical engineering, Industrial engineering, Automotive industry and Robustness (computer science). In particular, the Mathematical optimization works presented in the journal papers emphasize discussions on Optimal control. In addition to Industrial engineering research, the most cited publications aim to explore topics under Frequency response and Nonlinear system.
Mathematical optimization, Mathematical analysis, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pandemic and Applied mathematics are the subjects of interest in the journal. The journal addresses concerns in Mathematical optimization which are intertwined with other disciplines, such as Reduction (complexity), Model order reduction, Parametric model and Benchmark (computing). Parametric model research featured in the journal incorporates concerns from various other topics such as Hyperbolic partial differential equation, Nonlinear system, Network simulation and Computer simulation.
The tackled Mathematical analysis research is interrelated with Magnet which concerns subjects like Basis (linear algebra). While Basis (linear algebra) is the focus of it, it also provided insights into the studies of Thermal, Degrees of freedom (statistics), Partial differential equation, Spectral method and Invariant (mathematics). While it focused on Applied mathematics, it was also able to explore topics like Similarity (network science), Drug release and Linear regression.
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 Mathematics in Industry (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 Mathematics in Industry (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.76% of all publications and 47.06% 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.
Rinaldo M. Colombo;Mauro Garavello;Francesca Marcellini;Elena Rossi
(2020)Christian Himpe;Sara Grundel;Peter Benner
(2021)Andreas Binder;Onkar Jadhav;Volker Mehrmann
(2021)Robert Forslund;Anders Snis;Stig Larsson
(2021)Ki Wai Chau;Jok Tang;Cornelis W. Oosterlee;Cornelis W. Oosterlee
(2020)Ulrich Wilbrandt;Najib Alia;Volker John;Volker John
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