Computational Particle Mechanics

Aims & Scope

GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods.

The goal is to enhance communication among researchers in the applied sciences who use "particles'' in one form or another in their research.

SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology.

The term "particle methods/mechanics'' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	2.8
2024	2.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.623

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	41

Journal Rank

Year	Value
2024	9285

Journal Citation Indicator

Year	Value
2024	1004

---

---

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

---

Subjects & Keywords

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

---

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.

• DualSPHysics: from fluid dynamics to multiphysics problems

  Citation: 249

  Authors: J. M., G., C., R. B., A., O., I., A., R., A. J. C., B. D., P. K., M.

• Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results

  Citation: 225

  Authors: P., M. M., N., D.

• Efficient implementation of superquadric particles in Discrete Element Method within an open-source framework

  Citation: 222

  Authors: Alexander, Stefan, Christoph

• Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis

  Citation: 185

  Authors: Z., S. K., E. H., M.

• Grand challenges for Smoothed Particle Hydrodynamics numerical schemes

  Citation: 181

  Authors: Renato, Corrado, Matthieu, Xiangyu, David, Steven, Jean-Christophe, Salvatore, Benedict D., Antonio

• Least squares moving particle semi-implicit method

  Citation: 137

  Authors: Tasuku, Seiichi

• Particle dynamics modeling methods for colloid suspensions

  Citation: 133

  Authors: Dan S., Gary S., Jeremy B., Flint, Steven J., P. Randall

• Discrete element modelling of large scale particle systems—I: exact scaling laws

  Citation: 125

  Authors: Y. T., D. R. J.

• Modified dynamic boundary conditions (mDBC) for general-purpose smoothed particle hydrodynamics (SPH): application to tank sloshing, dam break and fish pass problems

  Citation: 104

  Authors: A., J. M., R., A. J. C., P. K., S. J., L., M.

• Application of particle and lattice codes to simulation of hydraulic fracturing

  Citation: 104

  Authors: Branko, Christine, Peter A.

---