| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 397 | 14 | 50 | 7 |
| Computer Science | 726 | 13 | 19 | 7 |
Iete Technical Review covers a variety of subjects, including Electrical engineering, Telecommunications, Computer network, Artificial intelligence and Optoelectronics. It connects the study in Electrical engineering with the closely related area of Power (physics). While work presented in Iete Technical Review provided substantial information on Computer network, it also covered topics in Wireless and Distributed computing.
Iete Technical Review focuses on Artificial intelligence but the discussions also offer insight into other areas such as Computer vision and Pattern recognition.
The published papers investigate studies in Artificial intelligence, Computer network, Computer security, Pattern recognition and Computer vision. While the journal articles focused on Artificial intelligence, they were also able to explore topics like Machine learning and Speech recognition. The journal articles with studies in Computer network featured incorporate elements of Wireless ad hoc network, Distributed computing, IEEE 802.11s and Wireless network.
The concepts of Artificial intelligence, Optics, Computer network, Electrical engineering and Wireless are tackled in Iete Technical Review. Some problems in Artificial intelligence that were presented in it overlapped with concepts under Computer vision and Pattern recognition. Topics in Optics were tackled in line with various other fields like Monopole antenna, Multi-band device and Antenna (radio).
Computer network studies presented include Wireless sensor network and Quality of service. The journal is focused mainly on Electrical engineering, particularly Electronics. Wireless research featured in the journal incorporates concerns from various other topics such as Interference (communication) and Electronic engineering.
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 Iete Technical Review (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 Iete Technical Review (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, 5.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.28% 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.
Hoa Tran-Dang;Nicolas Krommenacker;Patrick Charpentier;Dong-Seong Kim
(2020)Hrishikesh Dutta;Rohan Kumar Das;Sukumar Nandi;S. R. Mahadeva Prasanna
(2020)Anandkumar Balasubramaniam;Malik Junaid Jami Gul;Varun G. Menon;Anand Paul
(2021)Daasari Surender;Md. Ahsan Halimi;Taimoor Khan;Fazal A. Talukdar
(2021)Divya Sharma;Y. K. Prajapati;R. Tripathi
(2020)Mamidala Jagadesh Kumar
(2020)Ajeet Kumar;Anup Das;Rajib Kumar Panigrahi
(2020)Neha;Vandana Kumari;Mridula Gupta;Manoj Saxena
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