ACM Transactions on Computing for Healthcare
Published by Association for Computing Machinery
ISSN : 2691-1957 eISSN : 2637-8051
Abbreviation : ACM Trans. Comput. Healthc.
Aims & Scope
ACM Transactions on Computing for Healthcare (HEALTH) is a multi-disciplinary journal for the publication of high-quality original research papers, survey papers, and challenge papers that have scientific and technological results pertaining to how computing is improving healthcare.
This journal is multidisciplinary, intersecting CS, ECE, mechanical engineering, bio-medical engineering, behavioral and social science, psychology, and the health field, in general.
All submissions must show evidence of their contributions to the computing field as informed by healthcare.
We do not publish papers on large pilot studies, diseases, or other medical assessments/results that do not have novel computing research results.
Datasets and other artifacts needed to support reproducibility of results are highly encouraged.
Proposals for special issues are encouraged.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 8 |
Journal Rank
Year | Value |
---|---|
2024 | 2252 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 950 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 1.548 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering, Health Professions and Medicine, designed to support cutting-edge academic discovery.
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.
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Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Citation: 846
Authors: Yu, Robert, Hao, Michael, Naoto, Xiaodong, Tristan, Jianfeng, Hoifung
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A Survey on Security and Privacy Issues in Modern Healthcare Systems
Citation: 165
Authors: Akm Iqtidar, Amit Kumar, Mohammad Ashiqur, A. Selcuk
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Can Chatbots Help Support a Person’s Mental Health? Perceptions and Views from Mental Healthcare Professionals and Experts
Citation: 127
Authors: Colm, Courtney, Edel, Raymond, Maurice D., Siobhan, Martin, Lauri, Catrine, Alex, Gavin, Robin, David, Heidi, Anna-Kaisa, Alison, Michael F.
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Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Citation: 112
Authors: Madhura, Ankit, Malaikannan
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A Survey of Computational Methods for Online Mental State Assessment on Social Media
Citation: 61
Authors: Esteban A., David E., Fabio
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A Systematic Literature Review of Virtual, Augmented, and Mixed Reality Game Applications in Healthcare
Citation: 60
Authors: Yu, Yan, Veronica
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Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements
Citation: 59
Authors: Mehak, Thao-Ly T., H. Timothy, Rahmatollah
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An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification
Citation: 49
Authors: Vajira, Debesh, Hugo Lewi, HÃ¥vard D., Dag, PÃ¥l, Michael A.