| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 380 | 37 | 35 | 7 |
The journal tackles a plethora of topics, such as Algorithm, Artificial intelligence, Control theory, Pattern recognition and Speech recognition. Some problems in Algorithm that were presented in Iet Signal Processing overlapped with concepts under Signal, Signal processing and Mathematical optimization. Artificial intelligence research presented in Iet Signal Processing encompasses a variety of subjects, including Radar and Computer vision.
Issues in Control theory were discussed, taking into consideration concepts from other disciplines like Estimator and Filter (signal processing). The main emphasis of the journal is the research on Pattern recognition, emphasizing the topic of Wavelet transform. The majority of Speech recognition studies presented zero in on Speech processing.
Kalman filter research presented is mostly focused on the subject of Extended Kalman filter.
The most cited publications are mainly concerned with subjects like Algorithm, Artificial intelligence, Control theory, Speech recognition and Pattern recognition. The most cited papers focus on Algorithm but the discussions also offer insight into other areas such as Signal, Signal processing and Mathematical optimization. The Artificial intelligence research presented in the journal publications focuses mostly on Computer vision and, on occasion, topics in Fourier transform.
Iet Signal Processing is organized to address concerns in the fields of Artificial intelligence, Algorithm, Computer vision, Speech recognition and Pattern recognition. It explores Artificial intelligence concepts, specifically Artificial neural network, Edge detection and Extended Kalman filter but expands to research in Domain adaptation. Estimation theory is the primary subject of Algorithm works presented in Iet Signal Processing.
In it, Clutter and Time gating are investigated in conjunction with one another to address concerns in Computer vision research. The research on Speech recognition tackled can also make contributions to studies in the areas of End-to-end principle, Deep learning, Convolutional neural network and Pulse repetition frequency. Iet Signal Processing holds forums on Pattern recognition that merges themes from other disciplines such as Smoothing, Eye tracking and Outlier.
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 Iet 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 Iet 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, 4.84% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.95% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.56% of all publications and 59.32% 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.
Yuriy S. Shmaliy;Shunyi Zhao;Choon Ki Ahn
(2020)Josyl Mariela B. Rocamora;Ivan Wang Hei Ho;Wan-Mai Mak;Alan Pak Tao Lau
(2020)Huake Wang;Guisheng Liao;Jingwei Xu;Shengqi Zhu
(2020)Sebamai Parija;Pradipta Kishore Dash;Ranjeeta Bisoi
(2020)Huake Wang;Guisheng Liao;Jingwei Xu;Shengqi Zhu
(2020)Xueling Zhou;Bingo Wing-Kuen Ling;Zikang Tian;Yiu-Wai Ho
(2020)Ashraf Bsebsu;Gan Zheng;Sangarapillai Lambotharan;Kanapathippillai Cumanan
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