International Journal of Data Analysis Techniques and Strategies

Aims & Scope

Many current data analysis techniques are beyond the reach of most managers and practitioners.

Obscure maths and daunting algorithms have created an impassable chasm for problem solvers and decision makers.

IJDATS bridges three gaps: firstly, a gap between academic ivory tower and the real world; secondly, a gap between quantitative data analysis techniques and qualitative data analysis techniques; and finally, a gap between a specific technique and an overall strategy.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.284

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	20

Journal Rank

Year	Value
2024	17166

Journal Citation Indicator

Year	Value
2024	74

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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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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.

• Logistic regression in data analysis: an overview

  Citation: 251

  Authors: Maher

• Predicting credit card customer churn in banks using data mining

  Citation: 102

  Authors: Dudyala Anil, V.

• Heywood cases: possible causes and solutions

  Citation: 41

  Authors: Rayees

• Quality function deployment: a comprehensive literature review

  Citation: 36

  Authors: J.R., A.M., Milind

• Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

  Citation: 35

  Authors: N.R., V., Binoy B.

• To difference or not to difference: a Monte Carlo investigation of inference in vector autoregression models

  Citation: 32

  Authors: Richard A., Randal J.

• Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods

  Citation: 30

  Authors: Iyad, Izzat, Mohammed

• A parameter estimation method for machine tool reliability analysis using expert judgement

  Citation: 30

  Authors: Bhupesh Kumar, Makarand S.

• Review on factors affecting customer churn in telecom sector

  Citation: 26

  Authors: Vishal, Richa, Renuka

• Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics

  Citation: 21

  Authors: Anibal Tavares De, Cassilda Maria, Galeno José De, Antônio Augusto, Luis Leduíno Salles, Antônio Carlos

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