International Journal of Modeling, Simulation, and Scientific Computing

Aims & Scope

The International Journal of Modeling, Simulation, and Scientific Computing (IJMSSC) is a bimonthly journal which provides an international forum for researchers, scholars, and engineers in the fields of system modeling, simulation and scientific computing to publish high-quality and refereed papers, and disseminate the latest theoretical results and their practical applications.

The scope of the journal covers, but is not limited to Modeling and simulation (M&S) theory and methodology Modeling and simulation languages Verification, validation and accreditation theory and technology Model Engineering / Model Based System Engineering Optimization in M&S Artificial Intelligence / Machine Learning / Big Data in M&S Finite element methods, finite difference methods Distributed Computing/High Performance Computing/Pervasive Computing/Grid Computing/Cloud Computing/Edge Computing/Fog Computing M&S of continuous systems/discrete systems/hybrid systems/Intelligent systems M&S technology of complex systems/system of systems/cyber physical systems Simulation Based Acquisition /Virtual Prototyping / Digital Twin Cloud / mobile / embedded simulation Agent based M&S Data driven M&S High performance simulation Serious Games Simulation supporting tools and platforms Simulators Simulation application techniques.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1
2024	0.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.259

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	25

Journal Rank

Year	Value
2024	18226

Journal Citation Indicator

Year	Value
2024	364

---

---

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 Computer Science 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.

• THE GEANT4-DNA PROJECT

  Citation: 458

  Authors: S., G., M., R., C., Z., P., A., B., P., P., C., C.

• Blockchain with deep learning-enabled secure healthcare data transmission and diagnostic model

  Citation: 78

  Authors: S., J. Rene, L., G. L. N., E. Fantin, N.

• Finite element multigrid method for multi-term time fractional advection diffusion equations

  Citation: 75

  Authors: Weiping, Xiangtao, Yifa, Jiye

• TWO-DIMENSIONAL FINITE ELEMENT MODEL TO STUDY CALCIUM DISTRIBUTION IN ASTROCYTES IN PRESENCE OF VGCC AND EXCESS BUFFER

  Citation: 59

  Authors: BRAJESH KUMAR, NEERU, M. N.

• Automation of input data to discrete event simulation for manufacturing: A review

  Citation: 48

  Authors: Panagiotis, Cathal

• A secure data protection technique for healthcare data in the cloud using homomorphic encryption and Jaya–Whale optimization algorithm

  Citation: 45

  Authors: I., R.

• A mathematical study of a tuberculosis model with fractional derivatives

  Citation: 40

  Authors: Hamadjam, Pushpendra, Vedat Suat, Anoop

• Artificial intelligence in constructing personalized and accurate feedback systems for students

  Citation: 38

  Authors: Wenzhong, Jun, S. Kanaga Suba, M. Padma, M.

• A malaria model with Caputo–Fabrizio and Atangana–Baleanu derivatives

  Citation: 35

  Authors: Hamadjam, Pushpendra, Norodin A., Sachin

• A COMPUTATIONAL METHOD FOR FUZZY TIME SERIES FORECASTING BASED ON DIFFERENCE PARAMETERS

  Citation: 34

  Authors: BHAGAWATI P., SANJAY

---