Journal of Computational and Theoretical Transport

Aims & Scope

Emphasizing computational methods and theoretical studies, this unique journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, and macroscopic transport phenomena.

In addition, the journal encourages articles on uncertainty quantification related to these fields.

Offering a range of information and research methodologies unavailable elsewhere, Journal of Computational and Theoretical Transport brings together closely related mathematical concepts and techniques to encourage a productive, interdisciplinary exchange of ideas.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1
2024	0.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.231

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	32

Journal Rank

Year	Value
2024	19506

Journal Citation Indicator

Year	Value
2024	63

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, Physics and Astronomy and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Four Decades of Implicit Monte Carlo

  Citation: 52

  Authors: Allan B.

• A Fokker–Planck Feedback Control-Constrained Approach for Modelling Crowd Motion

  Citation: 33

  Authors: Souvik, Mario, Alfio

• A Generalized Linear Transport Model for Spatially Correlated Stochastic Media

  Citation: 24

  Authors: Anthony B., Feng

• A Characterization of the Pseudo-Browder Essential Spectra of Linear Operators and Application to a Transport Equation

  Citation: 23

  Authors: Faiçal, Aymen, Aref

• Monte Carlo Analysis of Thermal Effects in Monolayer Graphene

  Citation: 23

  Authors: M., G., V.

• Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety

  Citation: 20

  Authors: Pavel, Michael E., Todd S.

• Mitigating Teleportation Error in Frequency-Dependent Hybrid Implicit Monte Carlo Diffusion Methods

  Citation: 19

  Authors: Mathew A., Nick

• A Reciprocal Formulation of Nonexponential Radiative Transfer. 1: Sketch and Motivation

  Citation: 18

  Authors: Eugene

• Modeling of Supersonic Radiative Marshak Waves Using Simple Models and Advanced Simulations

  Citation: 17

  Authors: Avner P., Shay I.

• Reducing the Spatial Discretization Error of Thermal Emission in Implicit Monte Carlo Simulations

  Citation: 16

  Authors: Adam Glenn, Iain D., Nicholas A.

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