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Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format Example of GEM - International Journal on Geomathematics format
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open access Open Access

GEM - International Journal on Geomathematics — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Earth and Planetary Sciences (all) #79 of 186 down down by 7 ranks
Modeling and Simulation #149 of 290 down down by 24 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 74 Published Papers | 174 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 18/07/2020
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Related Journals

open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 8.9
SJR: 1.347
SNIP: 3.098
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 4.1
SJR: 0.694
SNIP: 0.72
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 5.9
SJR: 0.972
SNIP: 1.349
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 6.6
SJR: 0.813
SNIP: 1.434

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

2.4

14% from 2019

CiteRatio for GEM - International Journal on Geomathematics from 2016 - 2020
Year Value
2020 2.4
2019 2.1
2018 2.4
2017 1.9
2016 2.0
graph view Graph view
table view Table view

0.865

93% from 2019

SJR for GEM - International Journal on Geomathematics from 2016 - 2020
Year Value
2020 0.865
2019 0.448
2018 0.574
2017 0.321
2016 0.685
graph view Graph view
table view Table view

0.972

8% from 2019

SNIP for GEM - International Journal on Geomathematics from 2016 - 2020
Year Value
2020 0.972
2019 1.059
2018 0.951
2017 0.675
2016 1.146
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 14% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 93% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 8% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

GEM - International Journal on Geomathematics

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Springer

GEM - International Journal on Geomathematics

Mathematics concerned with geoscientific problems, i.e., Geomathematics, is becoming increasingly important, as first, modern high speed computers and satellite based techniques are entering more and more all geodisciplines and secondly a growing public concern about the futur...... Read More

Earth and Planetary Sciences

i
Last updated on
18 Jul 2020
i
ISSN
1869-2672
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Impact Factor
Medium - 0.938
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
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Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1007/S13137-010-0012-8
Modeling anomalous heat transport in geothermal reservoirs via fractional diffusion equations
Yury Luchko, Alessandro Punzi1

Abstract:

The aim of this article is to give an overview of the current research towards applications of fractional partial differential equations for the modeling of anomalous heat transfer in porous media. We start with presenting a physical background behind the anomalous processes described by the Continuous Time Random Walk (CTRW)... The aim of this article is to give an overview of the current research towards applications of fractional partial differential equations for the modeling of anomalous heat transfer in porous media. We start with presenting a physical background behind the anomalous processes described by the Continuous Time Random Walk (CTRW) model and arguing its feasibility for modeling of heat transport processes in heterogeneous media. From the CTRW model on the microscopic level, a macroscopic model in form of a generalized fractional diffusion equation is then deduced. Both mathematical analysis of the generalized fractional diffusion equations and some methods for their numerical treatment are presented. Finally, some open questions and directions for further work are suggested. read more read less

Topics:

Continuous-time random walk (58%)58% related to the paper, Partial differential equation (54%)54% related to the paper, Heat transfer (50%)50% related to the paper
74 Citations
open accessOpen access Journal Article DOI: 10.1007/S13137-015-0075-7
Hierarchical multiscale modeling for flows in fractured media using generalized multiscale finite element method
Yalchin Efendiev1, Yalchin Efendiev2, Seong H. Lee3, Guanglian Li2, Jun Yao4, Na Zhang4

Abstract:

In this paper, we develop a multiscale finite element method for solving flows in fractured media. Our approach is based on generalized multiscale finite element method (GMsFEM), where we represent the fracture effects on a coarse grid via multiscale basis functions. These multiscale basis functions are constructed in the off... In this paper, we develop a multiscale finite element method for solving flows in fractured media. Our approach is based on generalized multiscale finite element method (GMsFEM), where we represent the fracture effects on a coarse grid via multiscale basis functions. These multiscale basis functions are constructed in the offline stage via local spectral problems following GMsFEM. To represent the fractures on the fine grid, we consider two approaches (1) discrete fracture model (DFM) (2) embedded fracture model (EFM) and their combination. In DFM, the fractures are resolved via the fine grid, while in EFM the fracture and the fine grid block interaction is represented as a source term. In the proposed multiscale method, additional multiscale basis functions are used to represent the long fractures, while short-size fractures are collectively represented by a single basis functions. The procedure is automatically done via local spectral problems. In this regard, our approach shares common concepts with several approaches proposed in the literature as we discuss. We would like to emphasize that our goal is not to compare DFM with EFM, but rather to develop GMsFEM framework which uses these (DFM or EFM) fine-grid discretization techniques. Numerical results are presented, where we demonstrate how one can adaptively add basis functions in the regions of interest based on error indicators. We also discuss the use of randomized snapshots (Calo et al. Randomized oversampling for generalized multiscale finite element methods, 2014), which reduces the offline computational cost. read more read less

Topics:

Multiscale modeling (63%)63% related to the paper, Basis function (54%)54% related to the paper, Finite element method (50%)50% related to the paper
50 Citations
Journal Article DOI: 10.1007/S13137-011-0029-7
Filtered hyperinterpolation: a constructive polynomial approximation on the sphere
Ian H. Sloan1, Robert S. Womersley1

Abstract:

This paper considers a fully discrete filtered polynomial approximation on the unit sphere \({\mathbb{S}^{d}.}\) For \({f \in C(\mathbb{S}^{d}),V_{L,N}^{(a)} \, f}\) is a polynomial approximation which is exact for all spherical polynomials of degree at most L, so it inherits good convergence properties in the uniform norm fo... This paper considers a fully discrete filtered polynomial approximation on the unit sphere \({\mathbb{S}^{d}.}\) For \({f \in C(\mathbb{S}^{d}),V_{L,N}^{(a)} \, f}\) is a polynomial approximation which is exact for all spherical polynomials of degree at most L, so it inherits good convergence properties in the uniform norm for sufficiently smooth functions. The oscillations often associated with polynomial approximation of less smooth functions are localised by using a filter with support [0, a] for some a > 1, and with the value 1 on [0, 1]. The allowed choice of filters includes a recently introduced filter with minimal smoothness, and other smoother filters. The approximation uses a cubature rule with N points which is exact for all polynomials of degree \({t = \left\lceil{a L}\right\rceil+L-1.}\) The main theoretical result is that the uniform norm \({\|V_{L,N}^{(a)} \|}\) of the filtered hyperinterpolation operator is bounded independently of L, providing both good convergence and stability properties. Numerical experiments on \({\mathbb{S}^{2}}\) with a variety of filters, support intervals and cubature rules illustrate the uniform boundedness of the operator norm and the convergence of the filtered hyperinterpolation approximation for both an arbitrarily smooth function and a function with derivative discontinuities. read more read less

Topics:

Unit sphere (58%)58% related to the paper, Degree (graph theory) (57%)57% related to the paper, Operator norm (57%)57% related to the paper, Uniform norm (51%)51% related to the paper
50 Citations
open accessOpen access Journal Article DOI: 10.1007/S13137-014-0066-0
Generalized multiscale finite element method for elasticity equations
Eric T. Chung1, Yalchin Efendiev2, Yalchin Efendiev3, Shubin Fu3

Abstract:

In this paper, we discuss the application of generalized multiscale finite element method (GMsFEM) to elasticity equation in heterogeneous media. We consider steady state elasticity equations though some of our applications are motivated by elastic wave propagation in subsurface where the subsurface properties can be highly h... In this paper, we discuss the application of generalized multiscale finite element method (GMsFEM) to elasticity equation in heterogeneous media. We consider steady state elasticity equations though some of our applications are motivated by elastic wave propagation in subsurface where the subsurface properties can be highly heterogeneous and have high contrast. We present the construction of main ingredients for GMsFEM such as the snapshot space and offline spaces. The latter is constructed using local spectral decomposition in the snapshot space. The spectral decomposition is based on the analysis which is provided in the paper. We consider both continuous Galerkin and discontinuous Galerkin coupling of basis functions. Both approaches have their cons and pros. Continuous Galerkin methods allow avoiding penalty parameters though they involve partition of unity functions which can alter the properties of multiscale basis functions. On the other hand, discontinuous Galerkin techniques allow gluing multiscale basis functions without any modifications. Because basis functions are constructed independently from each other, this approach provides an advantage. We discuss the use of oversampling techniques that use snapshots in larger regions to construct the offline space. We provide numerical results to show that one can accurately approximate the solution using reduced number of degrees of freedom. read more read less

Topics:

Discontinuous Galerkin method (63%)63% related to the paper, Basis function (58%)58% related to the paper, Finite element method (56%)56% related to the paper, Partition of unity (54%)54% related to the paper, Linear elasticity (51%)51% related to the paper
49 Citations
Journal Article DOI: 10.1007/S13137-016-0081-4
A generalized multiscale finite element method for elastic wave propagation in fractured media

Abstract:

In this paper, we consider elastic wave propagation in fractured media applying a linear-slip model to represent the effects of fractures on the wavefield. Fractured media, typically, are highly heterogeneous due to multiple length scales. Direct numerical simulations for wave propagation in highly heterogeneous fractured med... In this paper, we consider elastic wave propagation in fractured media applying a linear-slip model to represent the effects of fractures on the wavefield. Fractured media, typically, are highly heterogeneous due to multiple length scales. Direct numerical simulations for wave propagation in highly heterogeneous fractured media can be computationally expensive and require some type of model reduction. We develop a multiscale model reduction technique that captures the complex nature of the media (heterogeneities and fractures) in the coarse scale system. The proposed method is based on the generalized multiscale finite element method, where the multiscale basis functions are constructed to capture the fine-scale information of the heterogeneous, fractured media and effectively reduce the degrees of freedom. These multiscale basis functions are coupled via the interior penalty discontinuous Galerkin method, which provides a block-diagonal mass matrix. The latter is needed for fast computation in an explicit time discretization, which is used in our simulations. Numerical results are presented to show the performance of the presented multiscale method for fractured media. We consider several cases where fractured media contain fractures of multiple lengths. Our numerical results show that the proposed reduced-order models can provide accurate approximations for the fine-scale solution. read more read less

Topics:

Discontinuous Galerkin method (53%)53% related to the paper, Finite element method (53%)53% related to the paper, Discretization (51%)51% related to the paper, Basis function (50%)50% related to the paper
48 Citations
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13. What is Sherpa RoMEO Archiving Policy for GEM - International Journal on Geomathematics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for GEM - International Journal on Geomathematics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In GEM - International Journal on Geomathematics?

The 5 most common citation types in order of usage for GEM - International Journal on Geomathematics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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