| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 290 | 51 | 73 | 12 |
| Engineering and Technology | 1059 | 10 | 21 | 7 |
The scientific interests tackled in the journal are Algorithm, Radar, Electronic engineering, Artificial intelligence and Radar imaging. The research on Algorithm featured in Iet Radar Sonar and Navigation combines topics in other fields like Signal and Detector. Iet Radar Sonar and Navigation focuses on Radar but the discussions also offer insight into other areas such as Acoustics and Remote sensing.
In addition to Electronic engineering research, Iet Radar Sonar and Navigation aims to explore topics under Direction of arrival, MIMO, Waveform, Signal processing and Satellite navigation. It explores issues in Artificial intelligence which can be linked to other research areas like Computer vision and Pattern recognition. It addresses concerns in Radar imaging which are intertwined with other disciplines, such as Synthetic aperture radar and Optics.
Topics in Synthetic aperture radar explored in it were investigated in conjunction with research in Azimuth and Iterative reconstruction. Clutter research presented in Iet Radar Sonar and Navigation encompasses a variety of subjects, including Space-time adaptive processing, Constant false alarm rate and Moving target indication. The Continuous-wave radar works featured in it incorporate elements from Radar engineering details and Pulse-Doppler radar.
The published papers investigate studies in Radar, Artificial intelligence, Algorithm, Electronic engineering and Radar imaging. The journal articles address concerns in Artificial intelligence which are intertwined with other disciplines, such as Computer vision and Pattern recognition. While work presented in the journal papers provide substantial information on Radar imaging, it also covers topics in Synthetic aperture radar and Remote sensing.
The concepts of Radar, Artificial intelligence, Algorithm, Electronic engineering and Remote sensing are tackled in Iet Radar Sonar and Navigation. Concepts in Acoustics, as well as related topics in Signal, are covered in the Radar research presented in Iet Radar Sonar and Navigation. Topics in Artificial intelligence explored in Iet Radar Sonar and Navigation were investigated in conjunction with research in Clutter, Computer vision and Pattern recognition.
Tracking (particle physics) is the primary subject of Computer vision works presented in it. While Electronic engineering is the focus of it, it also provided insights into the studies of Mimo radar, MIMO, Multiple input, Filter (video) and Joint (audio engineering). It explores topics in Remote sensing which can be helpful for research in disciplines like Passive radar and Bistatic radar.
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 Radar Sonar and Navigation (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 Radar Sonar and Navigation (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, 8.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.37% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.49% of all publications and 32.39% 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.
Tatiana Martelli;Fabiola Colone;Roberta Cardinali
(2020)Domenico Gaglione;Giovanni Soldi;Florian Meyer;Franz Hlawatsch
(2020)Mengmeng Ge;Guolong Cui;Xianxiang Yu;Lingjiang Kong
(2020)Riccardo Palamà;Francesco Fioranelli;Matthew Ritchie;Michael Inggs
(2021)Shengheng Liu;Hongchi Zhang;Tao Shan;Yongming Huang
(2021)Peter Tueller;Ryan Kastner;Roee Diamant
(2020)Fawei Yang;Feng Xu;Francesco Fioranelli;Julien Le Kernec
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