1050-0472
Published by: The American Society of Mechanical Engineers (ASME)
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 133 | 44 | 100 | 19 |
| Engineering and Technology | 378 | 40 | 123 | 21 |
The discussions in Journal of Mechanical Design mainly cover the fields of Structural engineering, Kinematics, Control theory, Mechanical engineering and Engineering design process. It facilitates discussions on Structural engineering that incorporate concepts from other fields like Vibration and Stress (mechanics). While work presented in it provided substantial information on Kinematics, it also covered topics in Mechanism (engineering), Artificial intelligence, Robotics, Geometry and Topology.
The main emphasis of the journal is the subject of Artificial intelligence, focusing on Robot. The study on Control theory presented in it intersects with subjects under the field of Control engineering. The work tackled in it goes beyond the discipline of Engineering design process as it also encompasses Mathematical optimization.
The most cited articles cover a variety of subjects, including Kinematics, Structural engineering, Control theory, Artificial intelligence and Engineering design process. The journal articles explore topics in Kinematics which can be helpful for research in disciplines like Geometry, Simulation and Topology. The most cited papers explore issues in Structural engineering which can be linked to other research areas like Vibration and Stress (mechanics).
The journal facilitates discussions on Engineering design process, Mathematical optimization, Systems engineering, Topology and Data-driven. Engineering management, Energy harvesting, Collaborative engineering, Sliding mode control and Web application are some topics wherein Engineering design process research discussed in it have an impact. Bayesian optimization studies in the realm of Mathematical optimization interact with fields like For profit.
The research on Systems engineering tackled can also make contributions to studies in the areas of Reliability (computer networking), Search and rescue, Adaptability, State (computer science) and Semantic network. While Topology is the focus of it, it also provided insights into the studies of Invertible matrix, Bézier curve, Geometrically nonlinear and Metamaterial. Issues in Data-driven were discussed, taking into consideration concepts from other disciplines like Domain (software engineering), Computer Aided Design, Process management (computing), Structured analysis and Design methods.
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 Journal of Mechanical Design (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 Journal of Mechanical Design (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.00% of all publications and 36.67% 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.
Xiaonan Lai;Shuo Wang;Zhenggang Guo;Chao Zhang
(2021)Dequan Zhang;Xu Han
(2020)Dule Shu;James Cunningham;Gary Stump;Simon W. Miller
(2020)Haiguang Liao;Wentai Zhang;Xuliang Dong;Barnabas Poczos
(2020)Roger Jiao;Sesh Commuri;Jitesh Panchal;Jelena Milisavljevic-Syed
(2021)Bradley Camburn;Yuejun He;Sujithra Raviselvam;Jianxi Luo
(2020)Shuo Jiang;Jie Hu;Kristin L. Wood;Jianxi Luo
(2022)Liwei Wang;Siyu Tao;Ping Zhu;Wei Chen
(2021)Hao Wu;Hao Wu;Zhifu Zhu;Xiaoping Du
(2020)Pursuing a degree in Mechanical or Aerospace Engineering opens doors to some of the highest-paying career paths in technology and innovation. For students exploring cost-effective options, many universities now offer some of the cheapest online college programs that maintain strong industry relevance without the hefty price tag.
For single moms balancing education and family, flexibility is key. Online degrees tailored to busy lifestyles, including some of the best degrees for single moms, provide an accessible route into engineering fields. These programs often include accelerated options, such as the increasingly popular 6 week college courses, which allow for quicker credit accumulation and faster entry into the workforce.
When selecting a program, it’s also important to consider how the degree aligns with future earning potential. Resources detailing what majors make the most money can guide students toward fields that maximize return on investment. Combining affordability, flexibility, and market demand ensures that graduates are well-positioned for success in the evolving engineering landscape.