SCOPUS
International Journal of Information Technology (Singapore)
Springer Nature, United States
International Journal of Information Technology (Singapore) is an academic journal published by Springer Nature (United States). Identifiers: ISSN 2511-2104, eISSN 2511-2112. Indexed in SCOPUS. Metrics: CiteScore 8.5, SJR 0.717, SNIP 1.57. tlooto lists 525 papers from this journal.
CiteScore
8.50
Scopus citation metric
SJR
0.717
SCImago rank
SNIP
1.57
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2511-2104
- eISSN
- 2511-2112
- Abbreviation
- -
- Publisher
- Springer Nature
- Country
- United States
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
170217031705170617102208 Electrical and Electronic Engineering2604 Applied Mathematics
Papers in this journal
Recent papers
- Personalized mental health interventions through ML-based depression and QoL assessment
2026 · 3 citations
- Design of an intelligent method for blur classification and adaptive restoration framework for robust aerial image deblurring operations
2026 · 1 citations
- Correction: A low-cost PCF-based optical sensing framework for automated dental shade matching
2026 · 33 citations
- AutoEG: a hybrid deep learning framework to detect dark side of digital work practices on employees in IT sector
2026 · 3 citations
- Optimizing video retrieval with spatio-temporal dual-stream feature learning using DSFLNet
2026
Most cited papers
- Energy-efficient 5G-enabled sensor networks for smart environmental monitoring in sustainable cities
2026 · 63 citations
- Leveraging advanced machine learning with feature selection approach for robust customer segmentation with purchase behavior prediction
2026 · 58 citations
- CNN-TM-GAN: hybrid deep learning framework to enhance segmentation accuracy of bio-medical images
2025 · 55 citations
- A novel approach to ensure efficient asynchronous communication using FIFO-based UART module
2025 · 54 citations
- Structural equation model of E-commerce live broadcasting influencing customers purchase intention prediction using machine learning
2026 · 50 citations