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Structural and Multidisciplinary Optimization
H-index 40

Structural and Multidisciplinary Optimization

1615-147X

Published by: Springer

https://www.springer.com/journal/158

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 68 84 202 29
Engineering and Technology 206 91 222 31

Additional Metrics

Number of Best Scientists*: 258
Documents by Best Scientists*: 506
Top 100 Ranked Scientists*: 13
SCIMAGO H-index: 147
SCIMAGO SJR: 1.339
Impact Factor: 4

Overview

Top Research Topics at Structural and Multidisciplinary Optimization?

The aim of the journal is to expand the discussion of research in Engineering design process, Mathematical optimization, Topology optimization, Optimization problem and Finite element method. Topics in Engineering design process explored in the journal were investigated in conjunction with research in Control theory, Sensitivity (control systems), Structural engineering, Optimal design and Algorithm. Buckling is a key component of Structural engineering research discussed in it.

Topics in Mathematical optimization were tackled in line with various other fields like Shape optimization, Reliability (statistics) and Truss. Topology optimization research featured in Structural and Multidisciplinary Optimization incorporates concerns from various other topics such as Topology (electrical circuits), Applied mathematics, Topology (chemistry), Topology and Stiffness. The journal connects research in Probabilistic-based design optimization with the related topic of Engineering optimization.

  • Engineering design process (56.98%)
  • Mathematical optimization (43.13%)
  • Topology optimization (32.14%)

What are the most cited papers published in the journal?

  • Survey of multi-objective optimization methods for engineering (3080 citations)
  • A 99 line topology optimization code written in Matlab (1378 citations)
  • Comparative studies of metamodelling techniques under multiple modelling criteria (1280 citations)

Research areas of the most cited articles at Structural and Multidisciplinary Optimization:

The most cited publications explore disciplines such as Mathematical optimization, Engineering design process, Topology optimization, Optimization problem and Finite element method. In addition to Mathematical optimization research, the journal publications aim to explore topics under Shape optimization and Reliability (statistics). While work presented in the most cited articles provide substantial information on Engineering design process, it also covers topics in Structural engineering, Truss, Kriging, Nonlinear system and Algorithm.

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

  • Mechanical engineering
  • Composite material
  • Statistics

The previous edition focused in particular on these issues:

The journal aims to foster the development of research in Engineering design process, Topology optimization, Mathematical optimization, Finite element method and Optimization problem. Issues in Engineering design process were discussed, taking into consideration concepts from other disciplines like Sensitivity (control systems), Structural engineering, Optimal design, Benchmark (computing) and Algorithm. Aside from discussions in Topology optimization, the journal also deals with the subject of Topology which intersects with Truss disciplines.

The journal facilitates discussions on Mathematical optimization that incorporate concepts from other fields like Probabilistic logic, Constraint (information theory), Function (mathematics), Reliability (statistics) and Robustness (computer science). Research in Kriging and the interrelating topic of Sampling (statistics) were among the subjects of interest in the Reliability (statistics) studies discussed in the journal. While Structural and Multidisciplinary Optimization focused on Finite element method, it was also able to explore topics like Discretization and Control theory.

The most cited articles from the last journal are:

  • TOuNN: Topology Optimization using Neural Networks (16 citations)
  • Topology optimization of multi-scale structures: a review (13 citations)
  • Fully and semi-automated shape differentiation in NGSolve (11 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 Structural and Multidisciplinary Optimization (based on the number of publications) are:

  • Ole Sigmund (66 papers) published 9 papers at the last edition, 4 more than at the previous edition,
  • Raphael T. Haftka (45 papers) absent at the last edition,
  • Glaucio H. Paulino (40 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Gengdong Cheng (38 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • George I. N. Rozvany (36 papers) absent at the last 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 Structural and Multidisciplinary Optimization (based on the number of publications) are:

  • Dalian University of Technology (180 papers) published 17 papers at the last edition, 15 less than at the previous edition,
  • Northwestern Polytechnical University (157 papers) published 30 papers at the last edition, 5 less than at the previous edition,
  • Technical University of Denmark (150 papers) published 14 papers at the last edition, 1 more than at the previous edition,
  • Hunan University (98 papers) published 12 papers at the last edition, 1 more than at the previous edition,
  • Huazhong University of Science and Technology (72 papers) published 13 papers at the last edition, 4 more 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, 4.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.69% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.57% of all publications and 46.45% 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

  • A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies

    Unknown

    (2022)
    370 Citations
  • Topology optimization of multi-scale structures: a review

    Jun Wu;Ole Sigmund;Jeroen P. Groen

    (2021)
    352 Citations
  • A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D

    Federico Ferrari;Ole Sigmund

    (2020)
    205 Citations
  • A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

    Unknown

    (2022)
    160 Citations
  • Surrogate-assisted global sensitivity analysis: an overview

    Kai Cheng;Zhenzhou Lu;Chunyan Ling;Suting Zhou

    (2020)
    146 Citations
  • On the use of artificial neural networks in topology optimisation

    (2022)
    135 Citations
  • Concurrent design of hierarchical structures with three-dimensional parameterized lattice microstructures for additive manufacturing

    Chuang Wang;Xiaojun Gu;Jihong Zhu;Han Zhou

    (2020)
    129 Citations
  • An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization

    Unknown

    (2022)
    129 Citations
  • A comprehensive review of educational articles on structural and multidisciplinary optimization

    Chao Wang;Zhi Zhao;Ming Zhou;Ole Sigmund

    (2021)
    92 Citations

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Best Scientists Contributing to This Journal