1053-5888
Published by: IEEE
https://signalprocessingsociety.org/publications-resources/ieee-signal-processing-magazine
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 91 | 84 | 153 | 33 |
The concepts of Signal processing, Artificial intelligence, Multimedia, Telecommunications and Computer vision are tackled in the journal. The concepts on Signal processing presented in it can also apply to other research fields, including Algorithm, Digital signal processing and Theoretical computer science. The work on Artificial intelligence tackled in the journal brings together disciplines like Machine learning, Speech recognition and Pattern recognition.
The published articles are organized to reinforce research efforts on Artificial intelligence, Signal processing, Computer vision, Computer network and Speech recognition. The works on Artificial intelligence tackled in the journal articles bring together disciplines like Machine learning and Pattern recognition. The journal publications focus on Signal processing but sometimes tackle the closely related topic of Theoretical computer science which is concerned with Computer engineering.
Signal processing, Artificial intelligence, Human–computer interaction, Deep learning and Algorithm are among the topics commonly tackled in the journal. The field of Telecommunications is the anchor for the Signal processing studies presented in IEEE Signal Processing Magazine. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Task analysis and Perception.
The studies in Perception featured incorporate elements of Field (computer science) and Machine learning. IEEE Signal Processing Magazine focuses on Deep learning research which is adjacent to topics in Data science. Studies in Focus (computing) and Special section are the key highlights in IEEE Signal Processing Magazine.
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 Signal Processing Magazine (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 Signal Processing Magazine (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, 23.61% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.36% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.18% of all publications and 60.00% 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.
Vishal Monga;Yuelong Li;Yonina C. Eldar
(2021)Shunqiao Sun;Athina P. Petropulu;H. Vincent Poor
(2020)Xin Yuan;David J. Brady;Aggelos K. Katsaggelos
(2021)Dingyou Ma;Nir Shlezinger;Tianyao Huang;Yimin Liu
(2020)Guang Chen;Hu Cao;Jorg Conradt;Huajin Tang
(2020)Rizwan Ahmad;Charles A. Bouman;Gregery T. Buzzard;Stanley Chan
(2020)Unknown
(2022)Sijia Liu;Pin-Yu Chen;Bhavya Kailkhura;Gaoyuan Zhang
(2020)Fernando Gama;Elvin Isufi;Geert Leus;Alejandro Ribeiro
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