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Multibody System Dynamics
H-index 17

Multibody System Dynamics

1384-5640

Published by: Springer

https://www.springer.com/journal/11044

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 168 23 71 16
Engineering and Technology 1144 10 17 6

Additional Metrics

Number of Best Scientists*: 41
Documents by Best Scientists*: 97
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 77
SCIMAGO SJR: 0.868
Impact Factor: 2.4

Overview

Top Research Topics at Multibody System Dynamics?

Multibody System Dynamics focuses on Control theory, Multibody system, Kinematics, Equations of motion and Control engineering. While work presented in the journal provided substantial information on Control theory, it also covered topics in Robot and Inverse dynamics. Topics in Multibody system explored in it were investigated in conjunction with research in Structural engineering, Finite element method, Applied mathematics, Computation and Contact force.

Joint (geology) is a focus of the Structural engineering works in the journal. Studies on Kinematics discussed in it link to the field of Constraint (computer-aided design). While Multibody System Dynamics focused on Equations of motion, it was also able to explore topics like Rigid body and Mathematical analysis.

The journal focuses on Control engineering as well as the interrelated topic of Actuator.

  • Control theory (43.48%)
  • Multibody system (31.21%)
  • Kinematics (18.93%)

What are the most cited papers published in the journal?

  • Flexible Multibody Dynamics: Review of Past and Recent Developments (626 citations)
  • Multibody System Dynamics: Roots and Perspectives (410 citations)
  • On the continuous contact force models for soft materials in multibody dynamics (232 citations)

Research areas of the most cited articles at Multibody System Dynamics:

The published papers cover a variety of subjects, including Multibody system, Control theory, Control engineering, Kinematics and Equations of motion. The published papers explore topics in Multibody system which can be helpful for research in disciplines like Structural engineering, Stiffness, Finite element method, Mechanics and Contact force. The published articles explore topics in Control theory which can be helpful for research in disciplines like Differential algebraic equation and Mathematical optimization.

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

  • Mechanical engineering
  • Mathematical analysis
  • Artificial intelligence

The previous edition focused in particular on these issues:

The foci of Multibody System Dynamics are Control theory, Mathematical analysis, Multibody system, Nonlinear system and Applied mathematics. The research on Control theory featured in the journal combines topics in other fields like Robot and Kinematics. Multibody System Dynamics explores issues in Mathematical analysis which can be linked to other research areas like Beam (structure), Rigid body, Mass matrix and Rotation matrix.

In Multibody System Dynamics, Modal, Structural engineering, Finite element method, Frame of reference and System dynamics are investigated in conjunction with one another to address concerns in Multibody system research. The journal focuses on Nonlinear system but the discussions also offer insight into other areas such as Reaction wheel and Revolute joint. Applied mathematics research featured in it incorporates concerns from various other topics such as Lagrange multiplier, Set (abstract data type), Relation (database), Ordinary differential equation and Augmented Lagrangian method.

The most cited articles from the last journal are:

  • Optimizing wheel profiles and suspensions for railway vehicles operating on specific lines to reduce wheel wear: a case study (7 citations)
  • Hardware acceleration of multibody simulations for real-time embedded applications (5 citations)
  • Comparing double-step and penalty-based semirecursive formulations for hydraulically actuated multibody systems in a monolithic approach (4 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 Multibody System Dynamics (based on the number of publications) are:

  • Jorge Ambrósio (33 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Peter Eberhard (23 papers) absent at the last edition,
  • John McPhee (23 papers) absent at the last edition,
  • Aki Mikkola (20 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Olivier A. Bauchau (19 papers) published 2 papers at the last edition, 1 more 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 Multibody System Dynamics (based on the number of publications) are:

  • University of Stuttgart (43 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Polytechnic University of Milan (31 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Lappeenranta University of Technology (26 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Instituto Superior Técnico (24 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Shanghai Jiao Tong University (22 papers) published 2 papers at the last edition, 2 less than at the previous 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 2021 edition, 7.84% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.15% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.64% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.53% of all publications and 44.68% 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

  • Contact mechanics for dynamical systems: a comprehensive review

    Paulo Flores

    (2021)
    57 Citations
  • Implementation of a non-Hertzian contact model for railway dynamic application

    Hugo Magalhães;Hugo Magalhães;Filipe Marques;Binbin Liu;Pedro Antunes;Pedro Antunes

    (2020)
    52 Citations
  • An overview of the ANCF approach, justifications for its use, implementation issues, and future research directions

    (2023)
    43 Citations
  • On the cosimulation of multibody systems and hydraulic dynamics

    Jarkko Rahikainen;Francisco González;Miguel Ángel Naya;Jussi Sopanen

    (2020)
    32 Citations
  • Data-driven simulation for general-purpose multibody dynamics using Deep Neural Networks

    Hee-Sun Choi;Junmo An;Seongji Han;Jin-Gyun Kim

    (2021)
    31 Citations
  • Multibody dynamics and control using machine learning

    (2023)
    27 Citations
  • Optimal design of active-passive shoulder exoskeletons: a computational modeling of human-robot interaction

    (2022)
    26 Citations
  • Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review

    (2022)
    25 Citations
  • Modeling muscle wrapping and mass flow using a mass-variable multibody formulation

    Jianqiao Guo;Hongshi Huang;Yuanyuan Yu;Zixuan Liang

    (2020)
    24 Citations
  • Clearance joints and friction models for the modelling of friction damped railway freight vehicles

    (2022)
    22 Citations

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