| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 212 | 90 | 152 | 17 |
| Engineering and Technology | 931 | 22 | 37 | 8 |
Circuits Systems and Signal Processing is mainly concerned with subjects like Algorithm, Control theory, Electronic engineering, Nonlinear system and Artificial intelligence. It explores issues in Algorithm which can be linked to other research areas like Signal, Signal processing and Mathematical optimization. Control theory and Stability (probability) are closely related fields of research discussed in Circuits Systems and Signal Processing.
The work on Electronic engineering tackled in the journal brings together disciplines like Electronic circuit, Electrical engineering, Voltage and Amplifier. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Computer vision and Pattern recognition.
The journal papers primarily tackle Control theory, Algorithm, Electronic engineering, Nonlinear system and Mathematical optimization. The journal articles address concerns in the field of Control theory by exploring it in line with topics in Filter design which intersect with Adaptive filter subjects. The studies on Algorithm discussed at the most cited publications can also contribute to research in the domains of Digital filter, System identification and Signal processing.
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 Circuits Systems 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 Circuits Systems 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, 10.18% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.60% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.31% of all publications and 67.71% 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.
Z. Tabekoueng Njitacke;Z. Tabekoueng Njitacke;J. Kengne;H. B. Fotsin
(2020)Chaouki Aouiti;Mayssa Bessifi;Xiaodi Li
(2020)V. R. Folifack Signing;T. Fozin Fonzin;M. Kountchou;J. Kengne
(2021)J. E. Lavín-Delgado;J. E. Solís-Pérez;J. F. Gómez-Aguilar;R. F. Escobar-Jiménez
(2020)G. Nagarajan;R. I. Minu;A. Jayanthila Devi
(2020)Yabo Wang;Guangyi Wang;Yiran Shen;Herbert Ho Ching Iu
(2020)Esraa M. Hamed;Lobna A. Said;Ahmed H. Madian;Ahmed H. Madian;Ahmed G. Radwan;Ahmed G. Radwan
(2020)Pankaj Prakash;Karthikeyan Rajagopal;Ismail Koyuncu;Jay Prakash Singh
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