| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 85 | 59 | 156 | 25 |
| Engineering and Technology | 382 | 32 | 89 | 21 |
The journal aims to foster the development of research in Automotive engineering, Vehicle dynamics, Control theory, Structural engineering and Mathematical model. The journal explores topics in Automotive engineering which can be helpful for research in disciplines like Acceleration, Torque and Control (management). In Vehicle System Dynamics, Mechanical engineering and Simulation are investigated in conjunction with one another to address concerns in Vehicle dynamics research.
In addition to Control theory research, Vehicle System Dynamics aims to explore topics under Control engineering and Suspension (vehicle). The Control engineering study featured in Vehicle System Dynamics draws connections with the study of Control system. The Suspension (vehicle) study tackled is a key component of adjacent topics in the area of Damper.
Structural engineering research presented in it encompasses a variety of subjects, including Vibration and Track (rail transport).
The most cited papers mostly deal with topics like Vehicle dynamics, Control theory, Automotive engineering, Control engineering and Simulation. While the primary focus in the published papers is Vehicle dynamics, they also dissect topics surrounding Structural engineering and Vibration as a whole. The featured Control theory studies in the journal articles mainly concentrate on Suspension (vehicle) but also cover areas of interest in Ride quality.
The journal covers a variety of subjects, including Control theory, Structural engineering, Automotive engineering, Track (rail transport) and Vehicle dynamics. The work on Control theory tackled in it brings together disciplines like Transient (oscillation), Model predictive control and Suspension (vehicle). The work tackled in the journal goes beyond the discipline of Structural engineering as it also encompasses Vibration.
Research on Automotive engineering addressed in it frequently intersections with the field of Torque. The studies on Track (rail transport) discussed can also contribute to research in the domains of Control engineering and Benchmark (computing). Control (management) and Dynamics (mechanics) are some topics wherein Vehicle dynamics research discussed in the journal have an impact.
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 Vehicle System Dynamics (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 Vehicle System Dynamics (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, 3.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.77% of all publications and 35.11% 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.
Mansour Ataei;Amir Khajepour;Soo Jeon
(2020)Tulga Ersal;Ilya Kolmanovsky;Neda Masoud;Necmiye Ozay
(2020)Marco Viehweger;Cyrano Vaseur;Sebastiaan van Aalst;Manuel Acosta
(2021)Jianfeng Sun;Maoru Chi;Xuesong Jin;Shulin Liang
(2021)Unknown
(2023)Zhiwei Wang;Paul Allen;Guiming Mei;Ruichen Wang
(2020)Tim Lewis;Jason Zheng Jiang;Simon Neild;Cencen Gong
(2020)Gongquan Tao;Chenxi Xie;Hengyu Wang;Xiaoxuan Yang
(2021)For students exploring Mechanical and Aerospace Engineering, online education offers flexible options to advance their careers. Many opt for accelerated programs that reduce time to degree completion. Similar to the accelerated pmhnp programs online, engineering students can find fast-tracked options that combine rigorous coursework with practical skills.
Additionally, pursuing a bachelor’s degree quickly can be beneficial. Programs like 2 year accelerated bachelor degrees allow students to enter the workforce or graduate studies sooner, making them appealing for those eager to start careers in high-demand fields.
When considering career prospects post-graduation, Mechanical and Aerospace Engineering rank among the highest paying majors, highlighting the financial rewards of this education path. Understanding these trends helps students align their studies with market demand and future earning potential.
For students deciding between degrees, reviewing the list of highest paying majors can offer insight into which disciplines offer strong returns on investment and robust career opportunities.
