Computing and Visualization in Science

Aims & Scope

Devoted to computational sciences - a field of a major and continually growing importance for both research and applications, this journal provides the ideal platform for scientists eager to cooperate in solving scientific and technological challenges.

The aim is to link professionals from the diverse fields of mathematics computer science physics chemistry environmental sciences biosciences engineering.

The rapid development of computer technology has opened up new perspectives, increased the importance of mathematical models and created an urgent need for efficient algorithms.

Reflecting these trends, the journal has set itself the goal of publishing pioneering methods and applications which precipitate the solution of complex problems - or even make such solutions possible at all.

Since visualization has become an important scientific tool, especially in the analysis of complex situations, it is treated in close connection with the other areas covered by the journal.

These areas include: - mathematical modeling and analysis of model systems - numerical methods and algorithms - development of simulation software - optimization and control - parallel computing - visualization and image analysis - computational physics and chemistry - structural mechanics - fluid dynamics - environmental sciences - computation in biosciences and medicine - modeling and computation in engineering.

Abstracting & Indexing

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

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, 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.

• NETGEN An advancing front 2D/3D-mesh generator based on abstract rules

  Citation: 917

  Authors: Joachim

• Large Eddy Simulation and the variational multiscale method

  Citation: 510

  Authors: Thomas J.R., Luca, Kenneth E.

• Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients

  Citation: 363

  Authors: K. A., M. B., R., A. L.

• Computational vascular fluid dynamics: problems, models and methods

  Citation: 361

  Authors: Alfio, Massimiliano, Alessandro

• UG - A flexible software toolbox for solving partial differential equations

  Citation: 246

  Authors: P., K., K., S., N., H., C.

• Multiscale modelling of the circulatory system: a preliminary analysis

  Citation: 227

  Authors: Luca, Fabio, Alfio, Alessandro

• AMDiS: adaptive multidimensional simulations

  Citation: 175

  Authors: Simon, Axel

• Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

  Citation: 141

  Authors: Jonas

• Computational model of three-dimensional cardiac electromechanics

  Citation: 139

  Authors: Taras P., Ian J., Andrew D.

• Numerical methods for fractional diffusion

  Citation: 126

  Authors: Andrea, Juan Pablo, Ricardo H., Enrique, Abner J.