International Journal of Numerical Modelling: Electronic Networks, Devices and Fields

Aims & Scope

Prediction through modelling forms the basis of engineering design.

The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly.

Engineers need models which relate to their design area and which are adaptable to new design concepts.

They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models.

The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields.

It concentrates on numerical modelling rather than abstract numerical mathematics.

Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering.

They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design.

They will also include the use of electrical networks as a modelling medium.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.7
2024	1.60

Journal Rank

Year	Value
2024	15450

Journal Citation Indicator

Year	Value
2024	741

SJR (SCImago Journal Rank)

Year	Value
2024	0.339

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	39

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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 Computer Science, Engineering and Mathematics, 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.

• TIME DOMAIN ELECTROMAGNETIC FIELD COMPUTATION WITH FINITE DIFFERENCE METHODS

  Citation: 507

  Authors: T.

• Chronological salp swarm algorithm based deep belief network for intrusion detection in cloud using fuzzy entropy

  Citation: 151

  Authors: Loheswaran, Jayavadivel, Murali, Srinivasan

• A CONSISTENT SUBGRIDDING SCHEME FOR THE FINITE DIFFERENCE TIME DOMAIN METHOD

  Citation: 100

  Authors: P., T.

• Approximate formulae for numerical inversion of Laplace transforms

  Citation: 99

  Authors: Juraj, Lubomír

• A leapfrog formulation of the 3‐D ADI‐FDTD algorithm

  Citation: 94

  Authors: S. J., M., T. M., B.

• Complex space approach to perfectly matched layers: a review and some new developments

  Citation: 92

  Authors: F. L., W. C.

• An analogue model of the memristor

  Citation: 86

  Authors: Juraj, Dalibor, Zdeněk

• A review on the artificial neural network applications for small‐signal modeling of microwave FETs

  Citation: 76

  Authors: Zlatica, Giovanni, Alina, Vera, Dominique M.M.‐P.

• The discrete time domain Green's function or Johns matrix — A new powerful concept in transmission line modelling (TLM)

  Citation: 71

  Authors: Wolfgang J. R.

• Neural approach for temperature‐dependent modeling of GaN HEMTs

  Citation: 70

  Authors: Zlatica, Giovanni, Alina, Gustavo, Antonio, Vera, Giorgio, Dominique M. M.‐P.

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