0098-3063
Published by: IEEE
http://cesoc.ieee.org/publications/ieee-transactions-on-consumer-electronics.html
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 233 | 238 | 398 | 23 |
| Electronics and Electrical Engineering | 255 | 87 | 125 | 14 |
IEEE Transactions on Consumer Electronics facilitates discussions on Electronic engineering, Artificial intelligence, Computer vision, Computer hardware and Electrical engineering. The Electronic engineering works featured in the journal incorporate elements from Demodulation, Signal, Signal processing and Communication channel, Orthogonal frequency-division multiplexing. IEEE Transactions on Consumer Electronics investigates Artificial intelligence research which frequently intersects with Pattern recognition.
The journal explores issues in Computer vision which can be linked to other research areas like Algorithm and Computer graphics (images). IEEE Transactions on Consumer Electronics holds forums on Computer hardware that merges themes from other disciplines such as Decoding methods and Embedded system. Voltage and Electronic circuit are all aspects of Electrical engineering research featured in the journal.
The majority of Motion estimation studies in the journal are focused on the subject of Quarter-pixel motion.
The journal publications primarily tackle Artificial intelligence, Computer vision, Electronic engineering, Computer network and Home automation. The study on Artificial intelligence presented in the journal papers is investigated in conjunction with research in Pattern recognition. The journal articles address concerns in the field of Home automation by exploring it in line with topics in Embedded system which intersect with Computer hardware subjects.
The journal focuses on Artificial intelligence, Computer vision, Electronics, NAND gate and Human–computer interaction. The work on Artificial intelligence tackled in the journal brings together disciplines like Wearable computer and Pattern recognition. The research on Computer vision tackled can also make contributions to studies in the areas of Convolution, Distortion and Set (abstract data type).
Topics in Electronics were tackled in line with various other fields like Software deployment, Mass market, Telecommunications, eHealth and Hardware implementations. Some problems in NAND gate that were presented in the journal overlapped with concepts under Flash (photography), Embedded system, Flash memory and Computer data storage. The study of Computer hardware encompasses disciplines such as Encoder, as well as fields such as Motion estimation, all of which overlap with one another.
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 Consumer Electronics (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 Consumer Electronics (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, 3.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.00% of all publications and 64.00% 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.
Dongsheng Yang;Xiaoting Gao;Liang Kong;Yongheng Pang
(2020)Masaaki Yamauchi;Yuichi Ohsita;Masayuki Murata;Kensuke Ueda
(2020)Laavanya Rachakonda;Anand K. Bapatla;Saraju P. Mohanty;Elias Kougianos
(2021)Laavanya Rachakonda;Saraju P. Mohanty;Elias Kougianos
(2020)Shayan Hassantabar;Novati Stefano;Vishweshwar Ghanakota;Alessandra Ferrari
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