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Multiscale Modeling and Simulation
H-index 16

Multiscale Modeling and Simulation

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 118 68 112 16
Engineering and Technology 666 24 43 13

Additional Metrics

Number of Best Scientists*: 91
Documents by Best Scientists*: 134
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 77
SCIMAGO SJR: 0.906
Impact Factor: 1.6

Overview

Top Research Topics at Multiscale Modeling & Simulation?

The journal primarily tackles Mathematical analysis, Statistical physics, Applied mathematics, Homogenization (chemistry) and Mathematical optimization. Issues in Mathematical analysis were discussed, taking into consideration concepts from other disciplines like Finite element method and Nonlinear system. Mixed finite element method is a key component of Finite element method research discussed in it.

The research on Statistical physics discussed in Multiscale Modeling & Simulation draws on the closely related field of Classical mechanics. Homogenization (chemistry) research presented in the journal encompasses a variety of subjects, including Mechanics and Porous medium.

  • Mathematical analysis (30.76%)
  • Statistical physics (19.98%)
  • Applied mathematics (18.32%)

What are the most cited papers published in the journal?

  • A Review of Image Denoising Algorithms, with a New One (3248 citations)
  • Fast Discrete Curvelet Transforms (2105 citations)
  • SIGNAL RECOVERY BY PROXIMAL FORWARD-BACKWARD SPLITTING ∗ (1951 citations)

Research areas of the most cited articles at Multiscale Modeling & Simulation:

The most cited articles are organized to address concerns in the fields of Mathematical analysis, Statistical physics, Applied mathematics, Mathematical optimization and Finite element method. The works on Mathematical analysis tackled in the most cited papers bring together disciplines like Flow (mathematics), Regularization (mathematics), Nonlinear system and Homogenization (chemistry). The study of Statistical physics in the published papers encompasses disciplines such as Molecular dynamics, as well as fields such as Classical mechanics, all of which overlap with one another.

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

  • Quantum mechanics
  • Mathematical analysis
  • Statistics

The previous edition focused in particular on these issues:

The journal focuses on Mathematical analysis, Applied mathematics, Homogenization (chemistry), Statistical physics and Asymptotic analysis. Multiscale Modeling & Simulation is mostly focused on Mathematical analysis, specifically Maxwell's equations. The research on Applied mathematics featured in it combines topics in other fields like Structure (category theory), Work (thermodynamics), Markov process, Scheme (mathematics) and Partial differential equation.

Multiscale Modeling & Simulation addresses concerns in Homogenization (chemistry) which are intertwined with other disciplines, such as Boundary value problem, Boundary (topology), Mechanics, Explicit method and Lipschitz continuity. While it focused on Statistical physics, it was also able to explore topics like Scientific method, Monte Carlo method, Scaling and Slow motion. The studies in Nonlinear system featured incorporate elements of Moment (mathematics), Space (mathematics) and Finite element method.

The most cited articles from the last journal are:

  • Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity (12 citations)
  • Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks (8 citations)
  • Effective Coupling Conditions for Arbitrary Flows in Stokes--Darcy Systems (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 Multiscale Modeling & Simulation (based on the number of publications) are:

  • Lexing Ying (20 papers) published 2 papers at the last edition,
  • Yalchin Efendiev (17 papers) absent at the last edition,
  • Josselin Garnier (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Knut Sølna (14 papers) absent at the last edition,
  • Pierre Degond (14 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 Multiscale Modeling & Simulation (based on the number of publications) are:

  • Stanford University (15 papers) absent at the last edition,
  • University of Texas at Austin (15 papers) absent at the last edition,
  • University of California, Los Angeles (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Minnesota (12 papers) published 2 papers at the last edition,
  • Institut de Mathématiques de Toulouse (11 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, 86.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% 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

  • Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity

    Florian Schäfer;Timothy John Sullivan;Houman Owhadi

    (2021)
    63 Citations
  • Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples

    Hayden Schaeffer;Giang Tran;Rachel Ward;Linan Zhang

    (2020)
    51 Citations
  • Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks

    Dane Taylor;Mason A. Porter;Peter J. Mucha

    (2021)
    43 Citations
  • Improved uniform error bounds on time-splitting methods for the long-time dynamics of the Dirac equation with small potentials

    (2021)
    28 Citations
  • Parameter-Robust Convergence Analysis of Fixed-Stress Split Iterative Method for Multiple-Permeability Poroelasticity Systems

    Qingguo Hong;Johannes Kraus;Maria Lymbery;Mary F. Wheeler

    (2020)
    26 Citations
  • Kernel analog forecasting: Multiscale test problems

    Dmitry Burov;Dimitrios Giannakis;Krithika Manohar;Andrew Stuart

    (2021)
    25 Citations
  • A Diffuse-Domain Phase-Field Lattice Boltzmann Method for Two-Phase Flows in Complex Geometries

    (2022)
    25 Citations

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Best Scientists Contributing to This Journal

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