2468-6018
Published by: Elsevier
https://www.journals.elsevier.com/ifac-journal-of-systems-and-control
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 318 | 23 | 33 | 11 |
| Engineering and Technology | 1321 | 8 | 9 | 4 |
IFAC Journal of Systems and Control explores disciplines such as Control theory, Nonlinear system, Control theory, Control (management) and Mathematical optimization. Control theory and Model predictive control are closely related fields of research discussed in the journal. IFAC Journal of Systems and Control focused on works that combine different research areas such as Model predictive control and Context (language use).
The journal explores topics in Nonlinear system which can be helpful for research in disciplines like Algorithm, Actuator and System identification. IFAC Journal of Systems and Control addresses concerns in the field of Control theory by exploring it in line with topics in Disturbance (geology) which intersect with Boundary (topology) subjects. The work on Control (management) tackled in IFAC Journal of Systems and Control brings together disciplines like Stability (learning theory), Current (mathematics) and Feedback loop.
The work tackled in the journal goes beyond the discipline of Mathematical optimization as it also encompasses Function (mathematics). The journal holds forums on Exponential stability that merges themes from other disciplines such as Tracking error and Mathematical analysis. IFAC Journal of Systems and Control connects research in Lyapunov function with the related topic of System dynamics.
The journal papers cover a variety of subjects, including Control theory, Algorithm, Mathematical optimization, Optimal control and Model predictive control. The works on Control theory tackled in the most cited publications bring together disciplines like Wind power and Variable speed wind turbine. The most cited papers focus on Algorithm but sometimes tackle the closely related topic of Nonlinear system which is concerned with System identification.
IFAC Journal of Systems and Control tackles a plethora of topics, such as Control theory, Control theory, Control (management), Nonlinear system and Control system. The concepts on Control theory presented in it can also apply to other research fields, including Function (mathematics), Model predictive control and Piecewise. While Control theory is the focus of the journal, it also provided insights into the studies of Disturbance (geology), Electricity and Optimal control.
The featured works in Infinite horizon, which all belong in the domain if Optimal control, also overlaps with concepts under Value (computer science). While work presented in it provided substantial information on Control (management), it also covered topics in Rolling horizon, Loop (topology) and Torque. In addition to Nonlinear system research, it aims to explore topics under Transient (oscillation) and Plasma modeling.
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 IFAC Journal of Systems and Control (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 IFAC Journal of Systems and Control (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, 12.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.93% of all publications and 25.93% 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.
Anthony Rossiter;Atanas Serbezov;Antonio Visioli;Katarína Žáková
(2020)Michele Schiavo;Fabrizio Padula;Nicola Latronico;Luca Merigo
(2021)Vu Phi Tran;Matthew A. Garratt;Ian R. Petersen
(2021)Jonas Umlauft;Sandra Hirche
(2020)Bao-Zhu Guo;Bao-Zhu Guo;Bao-Zhu Guo;Bin-Bin Xu;Bin-Bin Xu
(2020)Subhasish Mahapatra;Bidyadhar Subudhi
(2021)Gianluca Savaia;Simone Formentin;Giulio Panzani;Matteo Corno
(2021)Vu Phi Tran;Mohamed A. Mabrok;Matthew A. Garratt;Ian R. Petersen
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