| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 176 | 91 | 149 | 20 |
The discussions in Digital Signal Processing mainly cover the fields of Algorithm, Artificial intelligence, Pattern recognition, Control theory and Speech recognition. In addition to Algorithm research, it aims to explore topics under Radar, Signal, Signal processing and Mathematical optimization. Signal research presented is mostly focused on the subject of Noise (signal processing).
While the journal focused on Artificial intelligence, it was also able to explore topics like Machine learning and Computer vision. The works on Control theory deal in particular with Adaptive filter. Wavelet transform and Discrete wavelet transform are among the areas of Wavelet tackled.
The most cited publications primarily focus on research topics in Artificial intelligence, Algorithm, Pattern recognition, Computer vision and Speech recognition. The studies tackled in the journal articles, which mainly focus on Artificial intelligence, apply to Machine learning as well. Algorithm is the main point of discussion in the journal publications but it also connects with fields such as
The journal covers a variety of subjects, including Algorithm, Artificial intelligence, Signal, Computer vision and Communication channel. Digital Signal Processing features works in Algorithm, more specifically Estimation theory, and explores their relation to disciplines like Performance comparison. It explores topics in Artificial intelligence which can be helpful for research in disciplines like Modulation and Pattern recognition.
The concepts on Signal presented in it can also apply to other research fields, including Smoothing, Speech recognition, Filter design and Digital watermarking. Digital Signal Processing tackles research in Image (mathematics), Small target and Eye tracking as part of the general discipline of Computer vision, however, it also discusses concepts in Living environment. Signal-to-noise ratio, Closed-form expression, Base station and Task (computing) are some topics wherein Communication channel research discussed in the journal have an impact.
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 Digital 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 Digital 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, 34.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.53% of all publications and 29.41% 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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