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Journal of Mechanical Design - Transactions of the ASME
H-index 27

Journal of Mechanical Design - Transactions of the ASME

1050-0472

Published by: The American Society of Mechanical Engineers (ASME)

https://asmedigitalcollection.asme.org/mechanicaldesign

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 133 44 100 19
Engineering and Technology 378 40 123 21

Additional Metrics

Number of Best Scientists*: 130
Documents by Best Scientists*: 282
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 146
SCIMAGO SJR: 0.95
Impact Factor: 3

Overview

Top Research Topics at Journal of Mechanical Design?

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.

  • Structural engineering (15.91%)
  • Kinematics (13.84%)
  • Control theory (12.63%)

What are the most cited papers published in the journal?

  • Development of a Functional Basis for Design (784 citations)
  • A NEW STUDY ON RELIABILITY-BASED DESIGN OPTIMIZATION (764 citations)
  • A Global Performance Index for the Kinematic Optimization of Robotic Manipulators (755 citations)

Research areas of the most cited articles at Journal of Mechanical Design:

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).

What topics the last edition of the journal is best known for?

  • Mechanical engineering
  • Artificial intelligence
  • Composite material

The previous edition focused in particular on these issues:

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.

The most cited articles from the last journal are:

  • Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors (1 citations)
  • Data-Driven Design-by-Analogy: State of the Art and Future Directions (1 citations)
  • Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design (0 citations)

Papers citation over time

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:

  • Panos Y. Papalambros (89 papers) absent at the last edition,
  • Jonathan Cagan (48 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Jorge Angeles (44 papers) absent at the last edition,
  • Clément Gosselin (44 papers) absent at the last edition,
  • Wei Chen (43 papers) published 1 paper at the last edition, 7 less than at the previous edition.

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:

  • University of Michigan (156 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Massachusetts Institute of Technology (119 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Purdue University (116 papers) absent at the last edition,
  • Pennsylvania State University (116 papers) published 2 papers at the last edition, 10 less than at the previous edition,
  • Ohio State University (106 papers) absent at the last edition.

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.

Publication chance based on affiliation

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.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Designing a Shape–Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example

    Xiaonan Lai;Shuo Wang;Zhenggang Guo;Chao Zhang

    (2021)
    99 Citations
  • Kinematic Reliability Analysis of Robotic Manipulator

    Dequan Zhang;Xu Han

    (2020)
    98 Citations
  • 3D Design Using Generative Adversarial Networks and Physics-Based Validation

    Dule Shu;James Cunningham;Gary Stump;Simon W. Miller

    (2020)
    78 Citations
  • A Deep Reinforcement Learning Approach for Global Routing

    Haiguang Liao;Wentai Zhang;Xuliang Dong;Barnabas Poczos

    (2020)
    78 Citations
  • Design Engineering in the Age of Industry 4.0

    Roger Jiao;Sesh Commuri;Jitesh Panchal;Jelena Milisavljevic-Syed

    (2021)
    69 Citations
  • Machine Learning-Based Design Concept Evaluation

    Bradley Camburn;Yuejun He;Sujithra Raviselvam;Jianxi Luo

    (2020)
    60 Citations
  • Data-Driven Design-by-Analogy: State of the Art and Future Directions

    Shuo Jiang;Jie Hu;Kristin L. Wood;Jianxi Luo

    (2022)
    57 Citations
  • Data-driven topology optimization with multiclass microstructures using latent variable Gaussian process

    Liwei Wang;Siyu Tao;Ping Zhu;Wei Chen

    (2021)
    56 Citations
  • System Reliability Analysis With Autocorrelated Kriging Predictions

    Hao Wu;Hao Wu;Zhifu Zhu;Xiaoping Du

    (2020)
    50 Citations

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Best Scientists Contributing to This Journal