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Transport in Porous Media
H-index 28

Transport in Porous Media

0169-3913

Published by: Springer

https://www.springer.com/journal/11242

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 251 129 236 27

Additional Metrics

Number of Best Scientists*: 250
Documents by Best Scientists*: 355
Top 100 Ranked Scientists*: 12
SCIMAGO H-index: 114
SCIMAGO SJR: 0.658
Impact Factor: 2.6

Overview

Top Research Topics at Transport in Porous Media?

The main research concerns discussed in the journal are Porous medium, Mechanics, Hydrogeology, Thermodynamics and Permeability (earth sciences). The research on Porous medium tackled can also make contributions to studies in the areas of Saturation (chemistry), Mineralogy and Relative permeability. The work on Saturation (chemistry) tackled in Transport in Porous Media brings together disciplines like Wetting and Two-phase flow.

The study on Mechanics presented in the journal intersects with the topics under Capillary action. The journal explores topics in Hydrogeology which can be helpful for research in disciplines like Soil science, Flow (psychology) and Aquifer. Transport in Porous Media focuses on Thermodynamics but the discussions also offer insight into other areas such as Boundary value problem and Darcy's law.

Topics in Convection were tackled in line with various other fields like Instability and Boundary layer. The Porosity research presented falls under the domain of Composite material. Discussions in it are anchored in the subject of Flow (mathematics) and the similar topic of Mathematical analysis.

  • Porous medium (53.54%)
  • Mechanics (45.80%)
  • Hydrogeology (35.77%)

What are the most cited papers published in the journal?

  • Flow in porous media I: A theoretical derivation of Darcy's law (1169 citations)
  • Hydraulic conductivity of rock fractures (823 citations)
  • Effective Correlation of Apparent Gas Permeability in Tight Porous Media (543 citations)

Research areas of the most cited articles at Transport in Porous Media:

The most cited publications mostly deal with topics like Porous medium, Mechanics, Hydrogeology, Permeability (earth sciences) and Mineralogy. While the published papers focused on Porous medium, they were also able to explore topics like Saturation (chemistry) and Capillary action, Thermodynamics. The studies tackled in the most cited papers, which mainly focus on Mechanics, apply to Geotechnical engineering as well.

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

  • Thermodynamics
  • Composite material
  • Mathematical analysis

The previous edition focused in particular on these issues:

The journal explores disciplines such as Mechanics, Porous medium, Hydrogeology, Porosity and Flow (psychology). Aside from discussions in Mechanics, it also deals with the subject of Capillary action which intersects with Capillary pressure disciplines. Flow (mathematics), Multiphase flow, Relative permeability, Pressure drop and Tortuosity are some topics wherein Porous medium research discussed in Transport in Porous Media have an impact.

The studies in Hydrogeology featured incorporate elements of Saturation (chemistry) and Work (thermodynamics). Some problems in Porosity that were presented in Transport in Porous Media overlapped with concepts under Thermal diffusivity, Mineralogy and Permeability (earth sciences). While Flow (psychology) is the focus of it, it also provided insights into the studies of Wetting and Fracture (geology).

The most cited articles from the last journal are:

  • The Effect of Surface Roughness on Immiscible Displacement Using Pore Scale Simulation (6 citations)
  • Pore-Scale Transport and Two-Phase Fluid Structures in Fibrous Porous Layers: Application to Fuel Cells and Beyond. (5 citations)
  • Pore-Scale Imaging and Modelling of Reactive Flow in Evolving Porous Media: Tracking the Dynamics of the Fluid–Rock Interface (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 Transport in Porous Media (based on the number of publications) are:

  • Donald A. Nield (76 papers) absent at the last edition,
  • Ioan Pop (61 papers) absent at the last edition,
  • Andrey V. Kuznetsov (55 papers) absent at the last edition,
  • Martin J. Blunt (35 papers) published 4 papers at the last edition,
  • Jacob Bear (25 papers) published 1 paper 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 Transport in Porous Media (based on the number of publications) are:

  • Centre national de la recherche scientifique (110 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Stanford University (105 papers) published 2 papers at the last edition, 5 less than at the previous edition,
  • University of Auckland (86 papers) absent at the last edition,
  • Imperial College London (85 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • University of Texas at Austin (80 papers) published 6 papers 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, 11.40% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.28% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.96% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 54.97% 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

  • Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

    Serveh Kamrava;Pejman Tahmasebi;Muhammad Sahimi

    (2020)
    167 Citations
  • Foam Generation, Propagation and Stability in Porous Medium

    Arne Skauge;Jonas Solbakken;Per Arne Ormehaug;Morten Gunnar Aarra

    (2020)
    67 Citations
  • Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media

    Javier E. Santos;Ying Yin;Honggeun Jo;Wen Pan

    (2021)
    63 Citations
  • Multiscale Characterization of Wettability in Porous Media

    Ryan T. Armstrong;Chenhao Sun;Peyman Mostaghimi;Steffen Berg

    (2021)
    59 Citations
  • The Sensitivity of Estimates of Multiphase Fluid and Solid Properties of Porous Rocks to Image Processing

    Gaetano Garfi;Cédric M. John;Steffen Berg;Steffen Berg;Samuel Krevor

    (2020)
    54 Citations
  • Multiscale Digital Rock Analysis for Complex Rocks

    L. C. Ruspini;P. E. Øren;S. Berg;S. Masalmeh

    (2021)
    53 Citations
  • Pore-Scale Imaging and Analysis of Wettability Order, Trapping and Displacement in Three-Phase Flow in Porous Media with Various Wettabilities

    Abdulla Alhosani;Branko Bijeljic;Martin J. Blunt;Martin J. Blunt

    (2021)
    52 Citations
  • ML-LBM: Predicting and Accelerating Steady State Flow Simulation in Porous Media with Convolutional Neural Networks

    Ying Da Wang;Traiwit Chung;Ryan T. Armstrong;Peyman Mostaghimi

    (2021)
    47 Citations
  • Mixing in Porous Media: Concepts and Approaches Across Scales

    (2022)
    47 Citations
  • Pore Network Investigation of Trapped Gas and Foam Generation Mechanisms

    Muhammad M. Almajid;Anthony R. Kovscek

    (2020)
    45 Citations

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Best Scientists Contributing to This Journal