| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 143 | 191 | 264 | 23 |
| Mechanical and Aerospace Engineering | 244 | 31 | 47 | 11 |
| Engineering and Technology | 639 | 45 | 80 | 13 |
The objective of International Journal of Control is to combine knowledge in the areas of Control theory, Nonlinear system, Mathematical optimization, Linear system and Applied mathematics. International Journal of Control dives deep in exploring the relationship between the study of Control theory and Control engineering. The study on Control engineering presented is investigated in conjunction with research in Control (management).
International Journal of Control connects the study in Nonlinear system with the closely related area of Stability (probability). The journal features Mathematical optimization research that overlaps with concepts in Algorithm. The research on Applied mathematics discussed in International Journal of Control draws on the closely related field of Mathematical analysis.
Mathematical analysis works presented in the journal have a specific focus on Differential equation. Linear-quadratic-Gaussian control is the primary subject of Optimal control works presented in it.
The published papers are organized to reinforce research efforts on Control theory, Nonlinear system, Control engineering, Linear system and Control theory. Many of the studies tackled in the most cited articles connect Control theory with a similar field of study like Mathematical optimization. The journal publications hold forums on Linear system that merge themes from other disciplines such as Matrix (mathematics), Discrete time and continuous time and Applied mathematics.
The main research concerns discussed in the journal are Control theory, Nonlinear system, Applied mathematics, Control (management) and Control (linguistics). In it, Class (computer programming) and Tracking (particle physics) are investigated in conjunction with one another to address concerns in Control theory research. Most of the works presented in International Journal of Control deals with Class (computer programming) but it intersects with the subject of Output feedback.
Nonlinear system research featured in it incorporates concerns from various other topics such as Finite time, Multi-agent system and Observer (quantum physics). The studies on Multi-agent system discussed can also contribute to research in the domains of Distributed computing and Topology. While work presented in the journal provided substantial information on Applied mathematics, it also covered topics in Class (set theory), State (functional analysis), Exponential stability and Optimal control.
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 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 International Journal of 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, 4.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.65% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.85% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.62% of all publications and 71.88% 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.
Sébastien Gros;Mario Zanon;Rien Quirynen;Alberto Bemporad
(2020)Andrea Zanelli;Alexander Domahidi;Juan Luis Jerez;Manfred Morari
(2020)Reza Takapoui;Nicholas Moehle;Stephen P. Boyd;Alberto Bemporad
(2020)Joel A. Paulson;Edward A. Buehler;Richard D. Braatz;Ali Mesbah
(2020)Lennart Ljung;Tianshi Chen;Biqiang Mu
(2020)Wentao Tang;Zhenhua Wang;Yi Shen
(2020)Seema Mallavalli;Afef Fekih
(2020)Yong Zhang;Zidong Wang;Fuad E. Alsaadi
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 3
