| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 384 | 29 | 29 | 7 |
The journal explores disciplines such as Algorithm, Artificial intelligence, Computer vision, Speech recognition and Communication channel. The research on Algorithm tackled can also make contributions to studies in the areas of Estimator, Signal, Signal processing and Mathematical optimization. EURASIP Journal on Advances in Signal Processing addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Pattern recognition.
The Computer vision research presented places emphasis on topics like Pixel, Image segmentation and Feature extraction. The Speech recognition research dealing mostly with Speech processing is the focus of EURASIP Journal on Advances in Signal Processing. The work on Communication channel tackled in it brings together disciplines like Electronic engineering and Electrical engineering.
The published articles facilitate discussions on Artificial intelligence, Algorithm, Speech recognition, Computer vision and Signal processing. The journal papers dive deep in exploring the relationship between the study of Artificial intelligence and Pattern recognition. While Algorithm is the focus of the published articles, it also provides insights into the studies of Estimator, Signal and Communication channel.
EURASIP Journal on Advances in Signal Processing mainly tackles studies in Algorithm, Artificial intelligence, Signal, Pattern recognition and Deep learning. While work presented in EURASIP Journal on Advances in Signal Processing provided substantial information on Algorithm, it also covered topics in Function (mathematics) and Genetic algorithm. The research on Artificial intelligence featured in it combines topics in other fields like Machine learning and Computer vision.
The concepts on Signal presented in it can also apply to other research fields, including Transformation (function), Subspace topology and Estimation theory. The studies in Pattern recognition featured incorporate elements of Perspective (graphical), Residual, Pooling and Feature (computer vision). The Optimization problem research presented in EURASIP Journal on Advances in Signal Processing explores the relationship between Base station and the closely related topic of Communication channel.
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 EURASIP Journal on Advances in Signal Processing (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 EURASIP Journal on Advances in Signal Processing (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, 12.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.09% of all publications and 77.01% 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.
Ashkan Kalantari;Erik G. Larsson
(2020)Chen Qi;Shibo Shen;Rongpeng Li;Zhifeng Zhao
(2021)Xiaoliang Pan;Luxi Yang
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