Home›Search›International Journal of Data Analysis Techniques and Strategies
International Journal of Data Analysis Techniques and Strategies
Inderscience · Switzerland · Est. 2008
ISSN1755-8050
SJR Q3✓ Scopus / SJR
12
/ 100
High Risk
Score Breakdown
✓ Scopus Q3+12
Total12
Journal Impact Factor
Not on record at PubScope. The Journal Impact Factor is published by Clarivate for Web of Science (JCR)–indexed journals.
SJR Score
0.284
H-Index
20
SNIP
0.788
Total Works
553
Total Citations
2,475
2yr Mean Citedness
0.39
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Aims & Scope✦ Inferred from recent articles
The International Journal of Data Analysis Techniques and Strategies publishes research on computing, ICT, and internet/web services. It covers topics such as machine learning for digital image forgery detection and deep learning for time series forecasting. The journal also includes research on environmental topics, such as using Vedic sciences for pollution prediction and prevention.
AI-summarised from recent articles · verify on the publisher page
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ3
Information SystemsQ3
Information Systems and ManagementQ3
Subject Classification
Scopus Categories
Information Systems and ManagementApplied MathematicsInformation Systems
Research Topics (OpenAlex)
Data Mining Algorithms and ApplicationsSentiment Analysis and Opinion MiningStock Market Forecasting MethodsAdvanced Statistical Methods and ModelsBig Data and Business IntelligenceMulti-Criteria Decision MakingImbalanced Data Classification TechniquesFace and Expression RecognitionNeural Networks and ApplicationsAdvanced Clustering Algorithms Research