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Journal of Scientific Computing
H-index 33

Journal of Scientific Computing

0885-7474

Published by: Springer

https://www.springer.com/journal/10915

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 26 163 316 29
Computer Science 438 27 52 14

Additional Metrics

Number of Best Scientists*: 255
Documents by Best Scientists*: 445
Top 100 Ranked Scientists*: 15
SCIMAGO H-index: 96
SCIMAGO SJR: 1.348
Impact Factor: 3.3

Overview

Top Research Topics at Journal of Scientific Computing?

The main research concerns discussed in Journal of Scientific Computing are Mathematical analysis, Applied mathematics, Finite element method, Discretization and Discontinuous Galerkin method. The research on Mathematical analysis discussed in the journal draws on the closely related field of Nonlinear system. In addition to Applied mathematics research, it aims to explore topics under Polygon mesh, Norm (mathematics), Mathematical optimization, Rate of convergence and Conservation law.

Studies on Mathematical optimization discussed in it link to the field of Algorithm. Journal of Scientific Computing explores Finite element method concepts, specifically Mixed finite element method, Extended finite element method and Galerkin method but expands to research in A priori and a posteriori. Journal of Scientific Computing blends together research topics in A priori and a posteriori and Estimator.

Discontinuous Galerkin method research discussed connects with the study of Superconvergence.

  • Mathematical analysis (45.62%)
  • Applied mathematics (35.04%)
  • Finite element method (17.55%)

What are the most cited papers published in the journal?

  • Renormalization group analysis of turbulence I. Basic theory (2755 citations)
  • Aerodynamic design via control theory (1560 citations)
  • Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing (591 citations)

Research areas of the most cited articles at Journal of Scientific Computing:

The journal articles focus on Mathematical analysis, Applied mathematics, Discontinuous Galerkin method, Finite element method and Discretization. The Mathematical analysis research tackled in the published articles is interrelated with Nonlinear system which concerns subjects like Conservation law. Applied mathematics research in the most cited articles connects with the study of Mathematical optimization.

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 main points discussed in Journal of Scientific Computing deals with Applied mathematics, Nonlinear system, Discretization, Mathematical analysis and Discontinuous Galerkin method. While Applied mathematics is the focus of Journal of Scientific Computing, it also provided insights into the studies of Partial differential equation, Finite element method, Stability (probability), Rate of convergence and Numerical analysis. It facilitates discussions on Nonlinear system that incorporate concepts from other fields like Schrödinger equation, Linear system and Finite volume method.

Topics in Discretization explored in Journal of Scientific Computing were investigated in conjunction with research in Space (mathematics) and Scheme (mathematics). The journal covers various topics on Mathematical analysis such as Boundary value problem, Domain (mathematical analysis) and Finite difference method. The work on Discontinuous Galerkin method tackled in Journal of Scientific Computing brings together disciplines like Superconvergence and Piecewise.

The most cited articles from the last journal are:

  • A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs (30 citations)
  • Algorithms for Nonnegative Matrix Factorization with the Kullback–Leibler Divergence (10 citations)
  • Inertial-Type Algorithm for Solving Split Common Fixed Point Problems in Banach Spaces (10 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 Scientific Computing (based on the number of publications) are:

  • Zhimin Zhang (37 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Chi-Wang Shu (36 papers) absent at the last edition,
  • Steven A. Orszag (33 papers) absent at the last edition,
  • Anne Gelb (27 papers) published 1 paper at the last edition,
  • Bernardo Cockburn (25 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 Journal of Scientific Computing (based on the number of publications) are:

  • Brown University (84 papers) absent at the last edition,
  • Chinese Academy of Sciences (75 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • Peking University (53 papers) published 5 papers at the last edition the same number as at the previous edition,
  • Princeton University (50 papers) absent at the last edition,
  • University of California, Los Angeles (48 papers) published 1 paper at the last edition the same number as 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, 10.31% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.14% of all publications and 57.47% 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

  • Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

    (2022)
    1256 Citations
  • A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs

    Stefania Fresca;Luca Dede;Andrea Manzoni

    (2021)
    248 Citations
  • Time-Fractional Allen–Cahn Equations: Analysis and Numerical Methods

    Qiang Du;Jiang Yang;Zhi Zhou

    (2020)
    123 Citations
  • Subgradient Extragradient Method with Double Inertial Steps for Variational Inequalities

    Unknown

    (2022)
    115 Citations
  • Solving the Kolmogorov PDE by Means of Deep Learning

    Christian Beck;Sebastian Becker;Philipp Grohs;Nor Jaafari

    (2021)
    85 Citations
  • A Second Order Accurate Scalar Auxiliary Variable (SAV) Numerical Method for the Square Phase Field Crystal Equation

    Min Wang;Qiumei Huang;Cheng Wang

    (2021)
    76 Citations
  • Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks

    Moritz Geist;Philipp Petersen;Mones Raslan;Reinhold Schneider

    (2021)
    74 Citations
  • Mathematical Analysis and the Local Discontinuous Galerkin Method for Caputo–Hadamard Fractional Partial Differential Equation

    Changpin Li;Zhiqiang Li;Zhen Wang

    (2020)
    60 Citations

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Best Scientists Contributing to This Journal

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