| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 323 | 11 | 33 | 11 |
The concepts of Control theory, Algorithm, Control engineering, Simulation and Electronic engineering are tackled in International Journal of Modelling and Simulation. Control theory, Nonlinear system and Control system are among the concentrations of Control theory that garnered much attention in the journal.
The journal articles are mainly concerned with subjects like Control theory, Artificial intelligence, Operations research, Control theory and Control engineering. The studies on Control theory discussed at the published papers can also contribute to research in the domains of Identification scheme, Electric power system and Constant (mathematics). The most cited publications hold forums on Artificial intelligence that merge themes from other disciplines such as Mathematical optimization, Simulation and Multiobjective programming.
International Journal of Modelling and Simulation is mainly concerned with subjects like Control theory, Fuzzy logic, Dynamics (mechanics), Predation and Artificial intelligence. Control theory research is concerned with Automatic frequency control in particular. The research topics discussed in it include Fuzzy logic as well as Reciprocal.
The study on Dynamics (mechanics) presented in International Journal of Modelling and Simulation intersects with the topics under Mechanics. In particular, the Mechanics works presented emphasize discussions on Nanofluid. The work tackled in it goes beyond the discipline of Artificial intelligence as it also encompasses Computer vision.
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 International Journal of Modelling and Simulation (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 International Journal of Modelling and Simulation (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, 6.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.46% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.43% of all publications and 70.15% 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.
Dipayan Guha;Provas Kumar Roy;Subrata Banerjee
(2020)Dhananjay Kumar;H. D. Mathur;S. Bhanot;Ramesh C. Bansal
(2021)Mohd Faisal Jalil;Shahida Khatoon;Ibraheem Nasiruddin;R. C. Bansal;R. C. Bansal
(2021)T. Madiba;R.C. Bansal;R.C. Bansal;N.T. Mbungu;N.T. Mbungu;N.T. Mbungu;M. Bettayeb;M. Bettayeb
(2021)Dipayan Guha;Provas Kumar Roy;Subrata Banerjee
(2020)M. S. Mahmoud;M. Abouheaf;A. Sharaf
(2021)Debashish Mishra;Prakash Chandra Sahu;Ramesh Chandra Prusty;Sidhartha Panda
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