| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 102 | 142 | 169 | 30 |
| Engineering and Technology | 884 | 19 | 26 | 9 |
IEEE Journal on Emerging and Selected Topics in Circuits and Systems primarily focuses on research topics in Electronic engineering, Artificial intelligence, Electrical engineering, CMOS and Artificial neural network. The research on Electronic engineering tackled can also make contributions to studies in the areas of Delta-sigma modulation, Electronic circuit and Compressed sensing. It focuses on Compressed sensing research which is adjacent to topics in Signal reconstruction.
While it focused on Artificial intelligence, it was also able to explore topics like Computer vision and Pattern recognition. Topics like Voltage, Transistor, Capacitor and Integrated circuit are tackled as part of the discussions on Electrical engineering. The Artificial neural network study featured in the journal draws connections with the study of Computer engineering.
The journal publications generally zeroe in on subjects such as Electronic engineering, Electrical engineering, CMOS, Artificial intelligence and Resistive random-access memory. While Electronic engineering is the focus of the most cited articles, it also provides insights into the studies of Transistor, Electronic circuit and Compressed sensing. The published papers focus on Electrical engineering but sometimes tackle the closely related topic of Energy harvesting which is concerned with Wireless sensor network.
IEEE Journal on Emerging and Selected Topics in Circuits and Systems is mainly concerned with subjects like Control theory, Artificial intelligence, Computer hardware, Field-programmable gate array and Converters. In it, Phase-locked loop, Electric power system and Voltage are investigated in conjunction with one another to address concerns in Control theory research. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Machine learning and Reduction (complexity).
The studies on Field-programmable gate array discussed can also contribute to research in the domains of Countermeasure (computer), Application-specific integrated circuit, Artificial neural network, Side channel attack and Design flow. Converters research presented in IEEE Journal on Emerging and Selected Topics in Circuits and Systems encompasses a variety of subjects, including Capacitor and Nonlinear system. The featured Electronic circuit studies mainly concentrate on Robustness (computer science) but also cover areas of interest in Electronic engineering.
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 IEEE Journal on Emerging and Selected Topics in Circuits and Systems (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 IEEE Journal on Emerging and Selected Topics in Circuits and Systems (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, 10.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.37% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.49% of all publications and 53.06% 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.
Tao Shan;Xiaotian Pan;Maokun Li;Shenheng Xu
(2020)Na Zhang;Ke Chen;Yilin Zheng;Qi Hu
(2020)Yu Wang;Guan Gui;Haris Gacanin;Tomoaki Ohtsuki
(2020)Chuan Zhang;Yeong-Luh Ueng;Christoph Studer;Andreas Burg
(2020)Andrea Albanese;Matteo Nardello;Davide Brunelli
(2021)Sergi Abadal;Tie-Jun Cui;Tony Low;Julius Georgiou
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