| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 197 | 104 | 190 | 18 |
| Engineering and Technology | 761 | 28 | 49 | 11 |
The journal covers a variety of subjects, including Control theory, Adaptive control, Nonlinear system, Control engineering and Control theory. In it, Control (management), Bounded function and Mathematical optimization are investigated in conjunction with one another to address concerns in Control theory research. The studies in Mathematical optimization featured incorporate elements of Algorithm and Convergence (routing).
Estimation theory is a primary topic of Algorithm research in International Journal of Adaptive Control and Signal Processing. While work presented in the journal provided substantial information on Adaptive control, it also covered topics in Stability (learning theory), Artificial neural network, Discrete time and continuous time, Lyapunov function and Robust control. Backstepping is part of Nonlinear system studies tackled in it.
Topics in Control engineering explored in it were investigated in conjunction with research in Actuator and Model predictive control.
The journal publications tackle a plethora of topics, such as Control theory, Adaptive control, Nonlinear system, Control engineering and Control theory. The published papers explore research in Control theory alongside concepts in Fault detection and isolation and other areas of study in Residual. The most cited papers address concerns in the field of Adaptive control by exploring it in line with topics in Mathematical optimization which intersect with Applied mathematics, Algorithm and Estimation theory subjects.
The scientific interests tackled in International Journal of Adaptive Control and Signal Processing are Control theory, Nonlinear system, Adaptive control, Control (management) and Applied mathematics. Finite time are all disciplines of Control theory that connect with topics in Control (linguistics). The work on Nonlinear system tackled in it brings together disciplines like Class (computer programming), Class (set theory), Full state and State (functional analysis).
The Adaptive control study featured in International Journal of Adaptive Control and Signal Processing draws connections with the study of Synchronization (computer science). Multi-agent system and Markov chain are some topics wherein Control (management) research discussed in the journal have an impact. It explores research in Estimation theory and overlapping concepts in Recursive least squares filter and Least squares to expand the discourse in Applied mathematics.
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 Adaptive Control and Signal Processing (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 Adaptive Control and Signal Processing (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, 1.96% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.33% of all publications and 61.33% 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.
Unknown
(2021)Unknown
(2022)Ling Xu;Feiyan Chen;Feng Ding;Ahmed Alsaedi
(2021)Ya Gu;Quanmin Zhu;Hassan Nouri
(2021)Prashanth Krishnamurthy;Farshad Khorrami;Miroslav Krstic
(2021)Wei Su;Ben Niu;Huanqing Wang;Wenhai Qi
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