| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 256 | 83 | 102 | 14 |
| Engineering and Technology | 804 | 34 | 45 | 10 |
The objective of Optimal Control Applications & Methods is to combine knowledge in the areas of Control theory, Optimal control, Mathematical optimization, Control theory and Applied mathematics. The studies in Control theory featured incorporate elements of Control engineering and Control (management). The study on Control engineering presented is investigated in conjunction with research in Model predictive control.
The work on Optimal control tackled in Optimal Control Applications & Methods brings together disciplines like Quadratic equation and Mathematical analysis. The concepts on Mathematical optimization presented in Optimal Control Applications & Methods can also apply to other research fields, including Function (mathematics), Convergence (routing) and Numerical analysis.
The most cited publications facilitate discussions on Control theory, Optimal control, Mathematical optimization, Control theory and Control engineering. The journal publications connects the study in Control theory with the closely related areas of Control (management). The most cited papers explore research in Optimal control alongside concepts in Boundary value problem and other areas of study in Control variable.
Optimal Control Applications & Methods aims to foster the development of research in Control theory, Optimal control, Applied mathematics, Model predictive control and Nonlinear system. Optimal Control Applications & Methods explores research in Control (management) and overlapping concepts in Tracking (particle physics) to expand the discourse in Control theory. The study of Mathematical optimization serves as the foundation of the Optimal control research discussed in the journal.
In Optimal Control Applications & Methods, Maximum principle and Hamilton–Jacobi–Bellman equation are investigated in conjunction with one another to address concerns in Applied mathematics research. Attendees of it participated in discussions that delve into both Nonlinear system and Control (linguistics). It aims to facilitate interdisciplinary discussions involving Control (linguistics) as well as topics like Dynamic programming and Artificial neural network.
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 Optimal Control Applications & Methods (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 Optimal Control Applications & Methods (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, 2.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.03% of all publications and 78.10% 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.
Rashid Jan;Muhammad Altaf Khan;J.F. Gómez‐Aguilar
(2020)Haleh Tajadodi;Aziz Khan;José Francisco Gómez‐Aguilar;Hasib Khan
(2021)Maximilian Krämer;Christoph Rösmann;Frank Hoffmann;Torsten Bertram
(2020)Lars Grüne;Simon Pirkelmann
(2020)Wicak Ananduta;José María Maestre;Carlos Ocampo-Martinez;Hideaki Ishii
(2020)Muhammad Suhail Shaikh;Changchun Hua;Mannan Hassan;Saurav Raj
(2021)Moharam Habibnejad Korayem;Narges Ghobadi;Siavash Fathollahi Dehkordi
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