Impact Score* 3.8
The journal focuses on Control theory, Nonlinear system, Mathematical optimization, Control theory and Linear system. Most of the works presented in it deals with Control theory but it intersects with the subject of Control engineering. The work on Control engineering addressed in Automatica expands to the thematically related Control (management).
While it focused on Nonlinear system, it was also able to explore topics like Stability (learning theory), Bounded function and Applied mathematics. The research on Mathematical optimization featured in it combines topics in other fields like Algorithm, Convergence (routing), Model predictive control and System identification. The studies tackled, which mainly focus on System identification, apply to Estimation theory as well.
The work on Control theory presented in the journal focuses on Robust control in particular. The presentations focused mostly on Robust control in an attempt to further explore topics in Robustness (computer science).
The most cited publications mostly deal with topics like Control theory, Nonlinear system, Mathematical optimization, Control theory and Control engineering. The most cited papers explore research in System identification and overlapping concepts in Estimation theory and Algorithm to expand the discourse in Nonlinear system. Issues in Mathematical optimization were discussed in the most cited publications, taking into consideration concepts from other disciplines like Stability (learning theory), Model predictive control and Applied mathematics.
The journal tackles a plethora of topics, such as Control theory, State (functional analysis), Applied mathematics, Linear system and Observer (quantum physics). It focuses on Control theory research which is adjacent to topics in Convex optimization. While State (functional analysis) is the focus of the journal, it also provided insights into the studies of Zero (complex analysis), Algebraic number, Solution set, Norm (mathematics) and Invariant (mathematics).
Topics in Applied mathematics were tackled in line with various other fields like Bounded real lemma, Set (abstract data type), Linear matrix and Stability conditions. Automatica explores topics in Linear system which can be helpful for research in disciplines like Jump, Class (computer programming), Estimation theory, Fault (power engineering) and Product (mathematics). Observer (quantum physics) research featured in it incorporates concerns from various other topics such as Operator (computer programming), Model predictive control, Control theory, Boundary (topology) and Bounded function.
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 Automatica (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 Automatica (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.26% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 68.42% 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.
*The metrics for this journal are compiled based on the data for scientists listed under Electronics and Electrical Engineering