| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 115 | 123 | 228 | 28 |
| Engineering and Technology | 701 | 28 | 41 | 12 |
Electronic engineering, Electrical engineering, CMOS, Chip and Optoelectronics are among the topics commonly tackled in IEEE Transactions on Biomedical Circuits and Systems. In addition to Electronic engineering research, IEEE Transactions on Biomedical Circuits and Systems aims to explore topics under Wireless and Signal, Amplifier, Signal processing. IEEE Transactions on Biomedical Circuits and Systems features Wireless research that overlaps with concepts in Wireless sensor network.
Most of the Signal processing studies addressed also intersect with Computer hardware. The work on Computer hardware presented in IEEE Transactions on Biomedical Circuits and Systems focuses on Field-programmable gate array in particular. Voltage, Capacitor, Transmitter, Electromagnetic coil and Transistor are all subfields of Electrical engineering research that were featured in the journal.
While CMOS is the focus of the journal, it also provided insights into the studies of Electronic circuit, Application-specific integrated circuit, Noise (electronics), Integrated circuit and Electrical impedance.
The journal articles are mainly concerned with subjects like Electronic engineering, Electrical engineering, CMOS, Chip and Wireless. The majority of Electronic engineering studies presented in the journal papers zero in on Bandwidth (signal processing). The published papers tackle studies in Integrated circuit and the interrelated subject of Low-power electronics to gain insights into CMOS.
IEEE Transactions on Biomedical Circuits and Systems explores disciplines such as Optoelectronics, CMOS, Artificial intelligence, Computer hardware and Chip. Research in Sensitivity (control systems) and the interrelating topic of Sensor array were among the subjects of interest in the Optoelectronics studies discussed in IEEE Transactions on Biomedical Circuits and Systems. CMOS studies covered in IEEE Transactions on Biomedical Circuits and Systems falls within the purview of Electronic engineering.
Electronic engineering research featured in the journal incorporates concerns from various other topics such as Delta-sigma modulation, Communication channel and Artifact (error). The featured Artificial intelligence studies mainly concentrate on Computer vision but also cover areas of interest in Bandwidth (signal processing). It deals with Computer hardware in conjunction with Sensitivity (electronics) and similar fields in Signal.
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 Transactions on Biomedical 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 Transactions on Biomedical 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, 18.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.07% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.55% of all publications and 45.21% 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.
Mostafa Rahimi Azghadi;Corey Lammie;Jason K. Eshraghian;Melika Payvand
(2020)Jyotibdha Acharya;Arindam Basu
(2020)Ala Eldin Omer;George Shaker;Safieddin Safavi-Naeini;Georges Alquie
(2020)Gian Luca Barbruni;Paolo Motto Ros;Danilo Demarchi;Sandro Carrara
(2020)Marcello Zanghieri;Simone Benatti;Alessio Burrello;Victor Kartsch
(2020)Yang Zhao;Zhongxia Shang;Yong Lian
(2020)Unknown
(2022)Sevda Mohammadi;Anupama Vijaya Nadaraja;Katherine Luckasavitch;Mandeep Chhajer Jain
(2020)Kai Zhang;Guy A. E. Vandenbosch;Sen Yan
(2020)Yaoyao Jia;Ulkuhan Guler;Yen-Pang Lai;Yan Gong
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