| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1066 | 8 | 6 | 2 |
International Journal of Intelligent Transportation Systems Research generally zeroes in on subjects such as Transport engineering, Simulation, Traffic flow, Artificial intelligence and Intelligent transportation system. As a part of the journal, discussions in Transport engineering involve topics like Public transport and Travel time. Driving simulator is part of Simulation studies tackled in it.
The research on Traffic flow featured in it combines topics in other fields like Signal, Traffic generation model, Real-time computing and Traffic congestion. International Journal of Intelligent Transportation Systems Research holds forums on Artificial intelligence that merges themes from other disciplines such as Machine learning, Computer vision and Pattern recognition. The studies tackled, which mainly focus on Intelligent transportation system, apply to Computer network as well.
International Journal of Intelligent Transportation Systems Research connects research in Computer network with the related topic of Vehicular ad hoc network.
The journal papers investigate studies in Traffic flow, Simulation, Computer network, Transport engineering and Public transport. The published papers focus on Traffic flow but the discussions also offer insight into other areas such as Bayes estimator, Network traffic simulation and Traffic generation model. Driving simulator is a focus of the presented Simulation works in the published papers and they dives deep in Driving simulator.
International Journal of Intelligent Transportation Systems Research is mainly concerned with subjects like Artificial intelligence, Real-time computing, Transport engineering, Traffic flow and Automotive engineering. Some problems in Artificial intelligence that were presented in the journal overlapped with concepts under Machine learning and Computer vision. Topics in Real-time computing were tackled in line with various other fields like Intelligent transportation system, Interval (mathematics) and Reflection mapping.
The journal facilitated discussions that integrated Transport engineering and Visibility (geometry). The concepts on Traffic flow presented in it can also apply to other research fields, including Identification (information), Intersection (aeronautics), Statistical model, Accident (fallacy) and Traffic congestion. The journal explores topics in Automotive engineering which can be helpful for research in disciplines like Trajectory control and Weather forecasting.
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 International Journal of Intelligent Transportation Systems Research (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 International Journal of Intelligent Transportation Systems Research (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, 16.39% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.49% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.53% of all publications and 50.98% 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.
Even as the scope of Intelligent Transportation Systems Research continues to broaden, encompassing areas such as computer science, transportation engineering, and artificial intelligence, there is also a significant emphasis on the educational and professional-development pathways that enable an individual to utilize research findings effectively and contribute to the field. Some might wonder, for instance, how they can translate their interest in these topics into a rewarding and impactful career. The first step in any career is to obtain the necessary educational background. Technical disciplines like Intelligent Transportation Systems Research often require degrees in fields such as data science, engineering, computer science, artificial intelligence, and more. It's worth noting that the specific educational background may depend on the particular focus within Intelligent Transportation Systems Research – for instance, Transport Engineering might require a degree in civil engineering with a specialization in traffic engineering. Additionally, hands-on experience gained through internships and real-world projects during the undergraduate or graduate years can provide a sizable advantage when seeking employment or research positions. Various institutions and organizations offer scholarships and research grants for individuals interested in Intelligent Transportation Systems Research, which can not only finance their education but also provide valuable research experience. Following their education, many individuals turn to academia or industry for their career. They may become professors, industrial researchers, technology officers, or even start their own companies. For instance, the teaching profession could be particularly intriguing for those interested in guiding future generations. One might consider how the educational path can lead to a career in academia, such as becoming a preschool teacher. This path presents the opportunity to introduce children to the wonders of STEM (science, technology, engineering, math) from an early age, thus nurturing their curiosity and willing to learn about Intelligent Transportation Systems Research and associated fields. More information about this career path can be found here: how do you become a preschool teacher in Connecticut. Overall, the journey to a career in Intelligent Transportation Systems Research is rich and multifaceted, offering an array of opportunities for those with the will, the curiosity and the passion to contribute to shaping the future of transportation.
Messaoud Doudou;Abdelmadjid Bouabdallah;Véronique Berge-Cherfaoui
(2020)Teruhisa Takano;Shintaro Ono;Hiroshi Kawasaki;Katsushi Ikeuchi;Katsushi Ikeuchi
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