| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 87 | 140 | 168 | 34 |
IEEE Vehicular Technology Magazine mainly deals with areas of study such as Computer network, Telecommunications, Wireless, 5G and Mobile radio. Computer network research discussed connects with the study of Wireless network. The Internet and Mobile telephony are some topics wherein Telecommunications research discussed in IEEE Vehicular Technology Magazine have an impact.
The Wireless works featured in IEEE Vehicular Technology Magazine incorporate elements from Electronic engineering and Communication channel.
The journal articles primarily tackle Computer network, Wireless, Telecommunications, 5G and Wireless network. The journal publications hold forums on Computer network that merge themes from other disciplines such as Cognitive radio, Mobile telephony and Radio resource management. Issues in Telecommunications were discussed in the most cited publications, taking into consideration concepts from other disciplines like Multimedia and Virtual reality.
IEEE Vehicular Technology Magazine investigates areas of study like Real-time computing, Automotive engineering, Wireless, Computer network and 5G. In addition to Wireless research, it aims to explore topics under 6LoWPAN, Highway Addressable Remote Transducer Protocol, Communication channel and Network packet. Communication channel research in IEEE Vehicular Technology Magazine involves the investigation of Wireless sensor network studies, all of which are linked to disciplines such as Cloud computing.
Topics in Computer network were tackled in line with various other fields like Cluster analysis and Performance metric. It is concerned with the study of 5G and Telecommunications in general. The featured Telecommunications works encompass concepts such as Synchronization networks, Communications system and Design objective and examines them in conjunction with Multistatic 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 IEEE Vehicular Technology Magazine (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 IEEE Vehicular Technology Magazine (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, 23.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 38.10% of all publications and 28.57% 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.
Nan Chi;Yingjun Zhou;Yiran Wei;Fangchen Hu
(2020)Cheng-Xiang Wang;Jie Huang;Haiming Wang;Xiqi Gao
(2020)Henk Wymeersch;Jiguang He;Benoit Denis;Antonio Clemente
(2020)Jun Du;Chunxiao Jiang;Jian Wang;Yong Ren
(2020)Ruisi He;Christian Schneider;Bo Ai;Gongpu Wang
(2020)Andrew Zhang;Md. Lushanur Rahman;Xiaojing Huang;Yingjie Jay Guo
(2021)Mustafa Kishk;Ahmed Bader;Mohamed-Slim Alouini
(2020)Alice Faisal;Hadi Sarieddeen;Hayssam Dahrouj;Tareq Y. Al-Naffouri
(2020)Aizaz U. Chaudhry;Halim Yanikomeroglu
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