Journal of Computational Physics

1.0M citations
18.1k papers · · active since 1950

Impact in

    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Turbulent Flows
    • Advanced Numerical Methods in Computational Mathematics
    • Lattice Boltzmann Simulation Studies
    • Fluid Dynamics and Heat Transfer
    • Fluid Dynamics Simulations and Interactions
    • Fluid Dynamics and Vibration Analysis

Papers in

    • Computational Fluid Dynamics and Aerodynamics 5.5k
    • Advanced Numerical Methods in Computational Mathematics 4.2k
    • Fluid Dynamics and Turbulent Flows 3.5k
    • Lattice Boltzmann Simulation Studies 2.4k
    • Numerical methods for differential equations 1.6k

Journal of Computational Physics

17.3k papers receiving 967.5k citations

Peers

Journal of Computational Physics
Comparison fields: 5 of 235
  • Computational Mechanics 577.1k
  • Numerical Analysis 79.6k
  • Applied Mathematics 101.3k
  • Modeling and Simulation 30.1k
  • Statistical and Nonlinear Physics 75.4k
Replace Mathematics of Computation with:
Mathematics of Computation United States
Computer Methods in Applied Mechanics and Engineering United States
Journal of Fluid Mechanics United States
Physical Review Letters United States
SIAM Journal on Numerical Analysis United States
AIAA Journal United States
The Journal of Chemical Physics United States
International Journal of Heat and Mass Transfer China
Applied Mathematics and Computation China
Journal of Computational and Applied Mathematics China
Journal of Computational Physics relative to Mathematics of Computation United States Mathematics of Computation's profile →
Citations per field
00.5×10×13.4×
Mathematics of Computation · 1×
Citations per year

Countries where authors publish in Journal of Computational Physics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Computational Physics. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Computational Physics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Computational Physics more than expected).

Fields of papers published in Journal of Computational Physics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Computational Physics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Computational Physics.

About Journal of Computational Physics

The 18.1k papers published in Journal of Computational Physics in the last decades have received a total of 1.0M indexed citations . Papers published in Journal of Computational Physics usually cover Computational Mechanics (10.9k papers), Numerical Analysis (2.2k papers), Applied Mathematics (2.5k papers), Statistical and Nonlinear Physics (2.1k papers) and Statistics, Probability and Uncertainty (775 papers) specifically the topics of Computational Fluid Dynamics and Aerodynamics (5.5k papers), Advanced Numerical Methods in Computational Mathematics (4.2k papers), Fluid Dynamics and Turbulent Flows (3.5k papers), Lattice Boltzmann Simulation Studies (2.4k papers), Gas Dynamics and Kinetic Theory (2.0k papers), Electromagnetic Simulation and Numerical Methods (1.7k papers), Numerical methods for differential equations (1.6k papers) and Model Reduction and Neural Networks (1.3k papers). The most active scholars publishing in Journal of Computational Physics are Steven J. Plimpton, Stanley Osher, Philip L. Roe, Chi‐Wang Shu, Bram van Leer, George Em Karniadakis, Jean-Pierre Bérenger, C.W. Hirt, James A. Sethian and Herman J. C. Berendsen.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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