SCIESCOPUSQ1
ACM Transactions on Computing for Healthcare
ASSOC COMPUTING MACHINERY, United States
ACM Transactions on Computing for Healthcare is an academic journal published by ASSOC COMPUTING MACHINERY (United States). Identifiers: ISSN 2691-1957, eISSN 2637-8051. Indexed in SCIE, SCOPUS. Metrics: JIF 8.0, CiteScore 15.6, SJR 1.548, SNIP 2.51. tlooto lists 444 papers from this journal.
CiteScore
15.60
Scopus citation metric
SJR
1.548
SCImago rank
SNIP
2.51
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2691-1957
- eISSN
- 2637-8051
- Abbreviation
- ACM T COMPUT HEALTHC
- Publisher
- ASSOC COMPUTING MACHINERY
- Country
- United States
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
1706171017122204 Biomedical Engineering2701 Medicine (miscellaneous)2718 Health Informatics3605 Health Information Management
Papers in this journal
Recent papers
- NarrativeSense: Predicting Affective States in University Students through Smartphone Sensing and Contextual Narratives
2026
- RADO: Trustworthy Radiology Impression Generation using Safety and Faithfulness based Preference Optimization
2026 · 1 citations
- Interpretable AI Models for Detecting and Classifying Multiple Retinal Conditions Using Hybrid CNN-Transformer-Ensemble Architectures
2026
- Synergy of Artificial Intelligence and Extended Reality in Patient-focused Health and Well-Being Applications—A Systematic Review
2026
- PROVIMAPS: A Framework for Medical Image Data Provenance and Integrity in Medical Cyber-Physical Systems
2026
Most cited papers
- A Survey on Security and Privacy Issues in Modern Healthcare Systems
2020 · 230 citations
- Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
2022 · 172 citations
- Can Chatbots Help Support a Person’s Mental Health? Perceptions and Views from Mental Healthcare Professionals and Experts
2021 · 147 citations
- On CSI-Based Vital Sign Monitoring Using Commodity WiFi
2020 · 108 citations
- Obesity Prediction with EHR Data: A deep learning approach with interpretable elements
2019 · 92 citations