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Advanced Modeling and Simulation in Engineering Sciences
H-index 14

Advanced Modeling and Simulation in Engineering Sciences

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 265 22 33 10
Engineering and Technology 841 15 23 10

Additional Metrics

Number of Best Scientists*: 48
Documents by Best Scientists*: 64
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 25
SCIMAGO SJR: 0.771
Impact Factor: 3.2

Overview

Top Research Topics at Advanced Modeling and Simulation in Engineering Sciences?

Finite element method, Applied mathematics, Algorithm, Mathematical analysis and Discretization are the subjects of interest in the journal. The studies in Finite element method featured incorporate elements of Mechanics, Mathematical optimization, Boundary value problem and Nonlinear system. It links adjacent topics like Mechanics with Classical mechanics.

Interdisciplinary research on topics like Mathematical optimization and A priori and a posteriori are the foci of the journal. While it primarily focused on Applied mathematics, it also opened dialogues on the discipline of Computational Science and Engineering. Discussions in it are anchored in the subject of Algorithm and the similar topic of Interpolation.

Mathematical analysis research presented in the journal encompasses a variety of subjects, including Displacement (vector) and Shell (structure). The work tackled in the journal goes beyond the discipline of Discretization as it also encompasses Representation (mathematics). The journal held discussions to help close the divide between two different fields of study: Reduction (complexity) and Context (language use).

  • Finite element method (30.29%)
  • Applied mathematics (18.75%)
  • Algorithm (15.38%)

What are the most cited papers published in the journal?

  • Efficient and accurate numerical quadrature for immersed boundary methods (54 citations)
  • Robust model reduction by $$L^{1}$$ L 1 -norm minimization and approximation via dictionaries: application to nonlinear hyperbolic problems (45 citations)
  • Separated representations of 3D elastic solutions in shell geometries (40 citations)

Research areas of the most cited articles at Advanced Modeling and Simulation in Engineering Sciences:

The journal publications explore disciplines such as Algorithm, Mathematical analysis, Computation, Reduction (complexity) and Context (language use). The most cited papers explore themes in Algorithm like Estimation theory and link them with other fields of study like Conditional expectation. The most cited publications facilitate discussions on Mathematical analysis that incorporate concepts from other fields like Geometry, Polygon mesh and Nonlinear system.

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

  • Quantum mechanics
  • Mathematical analysis
  • Finite element method

The previous edition focused in particular on these issues:

Advanced Modeling and Simulation in Engineering Sciences mainly tackles studies in Algorithm, Finite element method, Mechanics, Discretization and Context (language use). Issues in Algorithm were discussed, taking into consideration concepts from other disciplines like von Mises yield criterion, Boundary (topology) and Robustness (computer science). The Finite element method study which was featured in it aims to expound on the research in Structural engineering.

The studies on Mechanics discussed can also contribute to research in the domains of Multibody system, Coupling, Momentum and Reference model. While work presented in Advanced Modeling and Simulation in Engineering Sciences provided substantial information on Discretization, it also covered topics in Discontinuous Galerkin method, Compressible flow and Shock (mechanics). The overlapping concepts between Haptic technology and Computation are the key highlights of Reduction (complexity) study.

The most cited articles from the last journal are:

  • A novel physics-based and data-supported microstructure model for part-scale simulation of laser powder bed fusion of Ti-6Al-4V (4 citations)
  • A Multiscale Model of Terrain Dynamics for Real-Time Earthmoving Simulation (4 citations)
  • An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions (2 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 Advanced Modeling and Simulation in Engineering Sciences (based on the number of publications) are:

  • Francisco Chinesta (12 papers) published 1 paper at the last edition,
  • Nicolas Moës (7 papers) absent at the last edition,
  • Wolfgang A. Wall (6 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Stefan Kollmannsberger (5 papers) absent at the last edition,
  • Elías Cueto (5 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 Advanced Modeling and Simulation in Engineering Sciences (based on the number of publications) are:

  • Université Paris-Saclay (19 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Technische Universität München (17 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • École centrale de Nantes (11 papers) absent at the last edition,
  • Polytechnic University of Catalonia (9 papers) absent at the last edition,
  • Centre national de la recherche scientifique (9 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 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.83% of all publications and 25.00% 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

  • Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior

    Mauricio Fernández;Mauricio Fernández;Shahed Rezaei;Jaber Rezaei Mianroodi;Jaber Rezaei Mianroodi;Felix Fritzen

    (2020)
    63 Citations
  • Fully convolutional networks for structural health monitoring through multivariate time series classification

    Luca Rosafalco;Andrea Manzoni;Stefano Mariani;Alberto Corigliano

    (2020)
    42 Citations
  • On phase change and latent heat models in metal additive manufacturing process simulation

    Sebastian D. Proell;Wolfgang A. Wall;Christoph Meier

    (2020)
    30 Citations
  • Empowering engineering with data, machine learning and artificial intelligence: a short introductive review

    (2022)
    30 Citations
  • Thermo-mechanical simulations of powder bed fusion processes: accuracy and efficiency

    (2022)
    22 Citations
  • Finite element method-enhanced neural network for forward and inverse problems

    (2022)
    22 Citations
  • A novel physics-based and data-supported microstructure model for part-scale simulation of laser powder bed fusion of Ti-6Al-4V

    Jonas Nitzler;Christoph Meier;Kei W. Müller;Wolfgang A. Wall

    (2021)
    20 Citations
  • Cut Bogner-Fox-Schmit elements for plates

    Erik Burman;Peter Hansbo;Mats G. Larson

    (2020)
    18 Citations
  • Regularized regressions for parametric models based on separated representations

    (2023)
    18 Citations

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Best Scientists Contributing to This Journal