SCIESSCISCOPUSQ2
Data Technologies and Applications
EMERALD GROUP PUBLISHING LTD, United Kingdom
Data Technologies and Applications is an academic journal published by EMERALD GROUP PUBLISHING LTD (United Kingdom). Identifiers: ISSN 2514-9288, eISSN 2514-9318. Indexed in SCIE, SSCI, SCOPUS. Metrics: JIF 1.5, CiteScore 4.7, SJR 0.540, SNIP 0.90. Subject areas: COMPUTER SCIENCE, INFORMATION SCIENCE & LIBRARY SCIENCE, INFORMATION SYSTEMS. tlooto lists 65 papers from this journal.
CiteScore
4.70
Scopus citation metric
SJR
0.540
SCImago rank
SNIP
0.90
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2514-9288
- eISSN
- 2514-9318
- Abbreviation
- DATA TECHNOL APPL
- Publisher
- EMERALD GROUP PUBLISHING LTD
- Country
- United Kingdom
Web of Science categories
SCIECOMPUTER SCIENCE, INFORMATION SYSTEMS
SSCIINFORMATION SCIENCE & LIBRARY SCIENCE
Scopus ASJC categories
17103309 Library and Information Sciences
Keywords
Computer Science, Information SystemsInformation Science & Library Science
Papers in this journal
Recent papers
- Deep-shallow feature fusion for assessing document image quality
2026
- HOG-GRU: a novel multi-modal water level forecasting model integrating satellite imagery and reservoir operation data
2026
- Hierarchical deep reinforcement learning for real-time tactical decision-making in team sports
2026
- Utilising an R 2-decomposed linkage method to investigate a contemporaneous and lead connection between the stock market and the investor sentiment index in Vietnam
2026
- A novel data-driven model for detecting cognitive state transitions In functional magnetic resonance imaging
2026
Most cited papers
- An effective recommender system based on personality traits, demographics and behavior of customers in time context
2020 · 19 citations
- Visual analysis of user portraits in China digital library from 2013 to 2024
2025 · 2 citations
- PGRC: an explainable recommendation method enhanced by knowledge graph and reinforcement learning
2025 · 2 citations
- Fighting disinformation with AI tools: datasets for detecting fake news on climate change and the Russian invasion of Ukraine
2026 · 2 citations
- Decision-making on Wikipedia: an analysis of gender bias and its impact on discoverability and information retrieval
2025 · 1 citations