| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 288 | 35 | 39 | 13 |
| Computer Science | 338 | 62 | 77 | 17 |
| Engineering and Technology | 479 | 39 | 61 | 17 |
The primary areas of discussion in the journal are Intelligent transportation system, Transport engineering, Artificial intelligence, Real-time computing and Column (database). IEEE Intelligent Transportation Systems Magazine facilitates discussions on Intelligent transportation system that incorporate concepts from other fields like Telecommunications, Engineering management and Operations research. IEEE Intelligent Transportation Systems Magazine explores topics in Artificial intelligence which can be helpful for research in disciplines like Machine learning and Computer vision.
The journal explores research in Real-time computing and the adjacent study of Global Positioning System. The research topics discussed in the journal include Column (database) as well as Chromatography.
The most cited articles are mainly concerned with subjects like Transport engineering, Intelligent transportation system, Simulation, Real-time computing and Artificial intelligence. The published articles hold forums on Transport engineering that merge themes from other disciplines such as Wireless, Software deployment, Mobile robot and Automation. The journal papers investigate Artificial intelligence research which frequently intersects with Computer vision.
The journal explores disciplines such as Control (management), Real-time computing, Artificial intelligence, Intelligent transportation system and Control system. The Control (management) research presented in it explores the relationship between Automation and the closely related topic of Key (cryptography). Studies on Real-time computing discussed in the journal link to the field of Data modeling.
The study of Artificial intelligence encompasses disciplines such as Computer vision, as well as fields such as License, all of which overlap with one another. IEEE Intelligent Transportation Systems Magazine focused on Intelligent transportation system research conducted under the discipline of Transport engineering. The work on Control system tackled in the journal brings together disciplines like Wireless, Track circuit, Computer hardware and Block (telecommunications).
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 Intelligent Transportation Systems 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 Intelligent Transportation Systems 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, 26.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 36.78% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.39% of all publications and 37.93% 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.
Ziran Wang;Yougang Bian;Steven E. Shladover;Guoyuan Wu
(2020)Yang Zheng;Yougang Bian;Shen Li;Shengbo Eben Li
(2021)Tianqi Zhang;Ge Guo
(2020)Liang Zhao;Jiajia Li;Ahmed Al-Dubai;Albert Y. Zomaya
(2021)Ge Guo;Yangguang Xu
(2020)Yang Li;Keqiang Li;Yang Zheng;Bernhard Morys
(2021)Todd E. Humphreys;Matthew J. Murrian;Lakshay Narula
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