Statistics, Optimization and Information Computing

Aims & Scope

Statistics, Optimization and Information Computing (SOIC) is an international refereed journal dedicated to the latest advancement of statistics, optimization and applications in information sciences.

SOIC publishes original research/survey papers on theory, algorithms and applications which covering the range of the interface of statistics, optimization and information sciences.

Topics of interest are (but not limited to): Statistical theory and applications [...] Optimization methods and applications[...] Information computing and machine intelligence[...]

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.321

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	22

Journal Rank

Year	Value
2024	16008

Journal Citation Indicator

Year	Value
2024	280

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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

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Subjects & Keywords

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

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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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.

• Heavy-Tailed Log-Logistic Distribution: Properties, Risk Measures and Applications

  Citation: 41

  Authors: Abd-Elmonem, Ahmed, Ahmed

• Random Walks and Market Efficiency in Chinese and Indian Equity Markets

  Citation: 40

  Authors: Oleg, Achal, Kaustubh, Asya

• Predicting Home Value in California, United States via Machine Learning Modeling

  Citation: 28

  Authors: Yitong

• New Extension of Weibull Distribution: Copula, Mathematical Properties and Data Modeling

  Citation: 26

  Authors: Hanaa, Haitham

• Calculus of variations involving Caputo-Fabrizio fractional differentiation

  Citation: 25

  Authors: Nuno R. O.

• Weighted Machine Learning

  Citation: 24

  Authors: Mahdi, Hassan A.

• Parameter Estimation, Sensitivity Analysis and Optimal Control of a Periodic Epidemic Model with Application to HRSV in Florida

  Citation: 23

  Authors: Silvierio, Delfim F. M.

• Development of Oil Production Forecasting Method based on Deep Learning

  Citation: 23

  Authors: Fargana, Yadigar

• Higher-order symmetric duality in nondifferentiable multiobjective fractional programming problem over cone contraints

  Citation: 22

  Authors: Ramu, Vishnu

• Forecasting International Stock Market Trends: XGBoost, LSTM, LSTM-XGBoost, and Backtesting XGBoost Models

  Citation: 22

  Authors: HASSAN, HAMZA, KHALID, RABY

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