1556-1801
Published by: American Institute of Mathematical Sciences
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 1229 | 10 | 20 | 5 |
The primary areas of discussion in the journal are Mathematical analysis, Applied mathematics, Conservation law, Homogenization (chemistry) and Nonlinear system. Networks and Heterogeneous Media investigates Mathematical analysis research which frequently intersects with Boundary (topology). The study on Applied mathematics presented in the journal intersects with subjects under the field of Partial differential equation.
It connects research in Conservation law with the related topic of Scalar (mathematics).
The most cited papers aim to foster the development of research in Mathematical analysis, Applied mathematics, Control theory, Conservation law and Traffic flow. While Mathematical analysis is the focus of the journal publications, it also provides insights into the studies of Convergence (routing) and Homogenization (chemistry). In addition to Applied mathematics research, the journal articles aim to explore topics under Flow (mathematics), Stability (probability), Boundary (topology), Computer simulation and Term (time).
Applied mathematics, Conservation law, Pure mathematics, Convergence (routing) and Combinatorics are the subjects of interest in Networks and Heterogeneous Media. The concepts on Applied mathematics presented in Networks and Heterogeneous Media can also apply to other research fields, including Focus (optics), Numerical analysis, Type (model theory) and Finite difference discretization. Networks and Heterogeneous Media holds forums on Conservation law that merges themes from other disciplines such as Riemann hypothesis, Scalar (physics), Asynchronous communication and Finite volume method.
Matrix (mathematics), Quadratic equation and Aggregate (data warehouse) are some topics wherein Pure mathematics research discussed in Networks and Heterogeneous Media have an impact. The research on Combinatorics tackled can also make contributions to studies in the areas of Hyperbolic systems, Bounded function, Domain (mathematical analysis) and Boundary data. Series (mathematics) research discussed in Networks and Heterogeneous Media aim to provide more information in the subject of Mathematical analysis.
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 Networks and Heterogeneous Media (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 Networks and Heterogeneous Media (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, 73.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 57.14% of all publications and 0.00% 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.
Vaibhav Mehandiratta;Mani Mehra;Günter Leugering
(2021)Nicola Bellomo;Sarah de Nigris;Damián A. Knopoff;Matteo Morini
(2020)Martin Gugat;Rüdiger Schultz;Michael Schuster
(2020)Mario Ohlberger;Ben Schweizer;Maik Urban;Barbara Verfürth
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