| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 106 | 139 | 297 | 29 |
Signal Processing generally zeroes in on subjects such as Algorithm, Artificial intelligence, Electronic engineering, Signal processing and Computer vision. The journal explores issues in Algorithm which can be linked to other research areas like Estimator, Signal, Mathematical optimization and Control theory. Noise (signal processing) is the primary subject of Signal works presented in the journal.
The research on Mathematical optimization discussed in the journal draws on the closely related field of Applied mathematics. Signal Processing holds forums on Control theory that merges themes from other disciplines such as Digital filter and Filter (signal processing), Filter design. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Machine learning and Pattern recognition.
In the journal, Radar and Communication channel are investigated in conjunction with one another to address concerns in Electronic engineering research. Research on Signal processing addressed in Signal Processing frequently intersections with the field of Speech recognition.
The most cited articles are organized to reinforce research efforts on Algorithm, Artificial intelligence, Computer vision, Signal processing and Control theory. The published papers are focused mainly on Algorithm, particularly Estimation theory. While work presented in the journal articles provide substantial information on Artificial intelligence, it also covers topics in Machine learning and Pattern recognition.
The journal is organized to address concerns in the fields of Algorithm, Filter (signal processing), Artificial intelligence, Computational complexity theory and Noise. Decoding methods is a major topic of Algorithm research presented in Signal Processing. The research on Filter (signal processing) tackled can also make contributions to studies in the areas of Nonlinear programming, Fading, Regularization (mathematics), Tracking (particle physics) and Kalman filter.
While Artificial intelligence is the focus of Signal Processing, it also provided insights into the studies of Crew and Computer vision. Computational complexity theory research presented in Signal Processing encompasses a variety of subjects, including Least mean squares filter, Reliability (computer networking), MIMO, Censored regression model and Orthogonal polynomials. The Noise works featured in it incorporate elements from Noise reduction, Gaussian, Robustness (computer science) and Headphones.
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 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 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 2022 edition, 12.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.44% of all publications and 44.44% 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.
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(2021)Lu Lu;Kai-Li Yin;Rodrigo C. de Lamare;Zongsheng Zheng
(2021)Samar M. Ismail;Lobna A. Said;Ahmed G. Radwan;Ahmed G. Radwan;Ahmed H. Madian;Ahmed H. Madian
(2020)Donghua Jiang;Lidong Liu;Liya Zhu;Xingyuan Wang
(2021)Xun Lang;Naveed ur Rehman;Yufeng Zhang;Lei Xie
(2020)Zhi Zheng;Tong Yang;Wen-Qin Wang;Shunsheng Zhang
(2020)Guchong Li;Guchong Li;Giorgio Battistelli;Wei Yi;Lingjiang Kong
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