0018-9316
Published by: IEEE
http://bts.ieee.org/publications/ieee-transactions-on-broadcasting.html
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 160 | 50 | 133 | 22 |
The aim of the journal is to expand the discussion of research in Electronic engineering, Orthogonal frequency-division multiplexing, Broadcasting, Computer network and Electrical engineering. Electronic engineering works presented in the journal have a specific focus on Digital Video Broadcasting. In it, Algorithm, Reduction (complexity), Multiplexing and Fading are investigated in conjunction with one another to address concerns in Orthogonal frequency-division multiplexing research.
The study on Algorithm presented in it intersects with the topics under Coding (social sciences). The studies in Broadcasting featured incorporate elements of Digital broadcasting and Radio broadcasting. The study on Computer network presented is investigated in conjunction with research in Real-time computing.
IEEE Transactions on Broadcasting covers various topics on Electrical engineering such as Antenna (radio), Amplitude modulation and Amplifier. It holds forums on Digital television that merges themes from other disciplines such as Multimedia and Data transmission.
The most cited publications investigate studies in Electronic engineering, Orthogonal frequency-division multiplexing, Artificial intelligence, Computer network and Computer vision. Specifically, studies on Digital Video Broadcasting are prevalent in the Electronic engineering works discussed in the most cited papers. The published papers explore research in Reduction (complexity) and overlapping concepts in Signal to expand the discourse in Orthogonal frequency-division multiplexing.
The journal is mainly concerned with subjects like Algorithm, Artificial intelligence, Broadcasting, Computer network and Transmission (telecommunications). The studies on Algorithm discussed can also contribute to research in the domains of Bit error rate, Orthogonal frequency-division multiplexing and Precoding. While work presented in the journal provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Coding (social sciences), Computer vision and Pattern recognition.
Some problems in Transmission (telecommunications) that were presented in the journal overlapped with concepts under Transmitter, Multiplexing, Communication channel and Physical layer. The discussions emphasized the topic of Multiplexing in an attempt to further explore the field of Electronic engineering. Electronic engineering research featured in IEEE Transactions on Broadcasting incorporates concerns from various other topics such as Frequency-division multiplexing, Layer (object-oriented design) and Spectral efficiency.
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 Broadcasting (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 Broadcasting (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, 23.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.71% of all publications and 31.43% 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.
Xin Hu;Yuchen Zhang;Xianglai Liao;Zhijun Liu
(2020)E. Garro;M. Fuentes;J. L. Carcel;H. Chen
(2020)Ke Gu;Junfei Qiao;Sanghoon Lee;Hantao Liu
(2020)Mikko Saily;Carlos Barjau Estevan;Jordi Joan Gimenez;Fasil Tesema
(2020)Liang Zhang;Wei Li;Yiyan Wu;Yu Xue
(2020)Wei Li;Liang Zhang;Yiyan Wu;Zhihong Hong
(2021)Tuan Tran;David Navratil;Peter Sanders;Jon Hart
(2020)Liang Zhang;Wei Li;Yiyan Wu;Sebastien Lafleche
(2021)Eneko Iradier;Jon Montalban;Lorenzo Fanari;Pablo Angueira
(2020)David Gomez-Barquero;Jae-Young Lee;Sungjun Ahn;Cristiano Akamine
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