Health Care Management Science
Leading citation impact metric from Clarivate Journal Citation Reports
72 papers with at least that number of citations each
State Council for Professorship (HĐGSNN) Scoring
Quyết định số 26/QĐ-HĐGSNN ngày 11/7/2025 (Mục quốc tế)
HĐGSNN Score History
By article publication year| Year | Max Score | Evaluation Details | Source |
|---|---|---|---|
| 2026 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 2.8) | 🔵 Computed |
| 2025 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 2) | 🔵 Computed |
| 2024 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 2.3) | 🔵 Computed |
| 2023 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 3.6) | 🔵 Computed |
| 2022 | 1.75đ | WoS Q2 có IF ≥ 2.0(IF: 3.979) | 🔵 Computed |
Note: Domestic journal scores are officially collected from annual HĐGSNN decisions across councils. International journal scores are dynamically computed according to Decision 26/QĐ-HĐGSNN based on quartile and citation metrics in the publication year.
Aims & Scope
Health Care Management Science publishes papers dealing with health care delivery, health care management, and health care policy. Papers should have a decision focus and make use of quantitative methods including management science, operations research, analytics, machine learning, and other emerging areas. Articles must clearly articulate the relevance and the realized or potential impact of the work. Applied research will be considered and is of particular interest if there is evidence that it was implemented or informed a decision-making process. Papers describing routine applications of known methods are discouraged. Authors are encouraged to disclose all data and analyses thereof, and to provide computational code when appropriate. Editorial statements for the individual departments are provided below. Health Care Analytics Departmental Editors: Margrét Bjarnadóttir, University of Maryland Nan Kong, Purdue University With the explosion in computing power and available data, we have seen fast changes in the analytics applied in the healthcare space. The Health Care Analytics department welcomes papers applying a broad range of analytical approaches, including those rooted in machine learning, survival analysis, and complex event analysis, that allow healthcare professionals to find opportunities for improvement in health system management, patient engagement, spending, and diagnosis. We especially encourage papers that combine predictive and prescriptive analytics to improve decision making and health care outcomes. The contribution of papers can be across multiple dimensions including new methodology, novel modeling techniques and health care through real-world cohort studies. Papers that are methodologically focused need in addition to show practical relevance. Similarly papers that are application focused should clearly demonstrate improvements over the status quo and available approaches by applying rigorous analytics. Health Care Operations Management Departmental Editors: Nilay Tanik Argon, University of North Carolina at Chapel Hill Bob Batt, University of Wisconsin The department invites high-quality papers on the design, control, and analysis of operations at healthcare systems. We seek papers on classical operations management issues (such as scheduling, routing, queuing, transportation, patient flow, and quality) as well as non-traditional problems driven by everchanging healthcare practice. Empirical, experimental, and analytical (model based) methodologies are all welcome. Papers may draw theory from across disciplines, and should provide insight into improving operations from the perspective of patients, service providers, organizations (municipal/government/industry), and/or society. Health Care Management Science Practice Departmental Editor: Vikram Tiwari, Vanderbilt University Medical Center The department seeks research from academicians and practitioners that highlights Management Science based solutions directly relevant to the practice of healthcare. Relevance is judged by the impact on practice, as well as the degree to which researchers engaged with practitioners in understanding the problem context and in developing the solution. Validity, that is, the extent to which the results presented do or would apply in practice is a key evaluation criterion. In addition to meeting the journal’s standards of originality and substantial contribution to knowledge creation, research that can be replicated in other organizations is encouraged. Papers describing unsuccessful applied research projects may be considered if there are generalizable learning points addressing why the project was unsuccessful. Health Care Productivity Analysis Departmental Editor: Jonas Schreyögg, University of Hamburg The department invites papers with rigorous methods and significant impact for policy and practice. Papers typically apply theory and techniques to measuring productivity in health care organizations and systems. The journal welcomes state-of-the-art parametric as well as non-parametric techniques such as data envelopment analysis, stochastic frontier analysis or partial frontier analysis. The contribution of papers can be manifold including new methodology, novel combination of existing methods or application of existing methods to new contexts. Empirical papers should produce results generalizable beyond a selected set of health care organizations. All papers should include a section on implications for management or policy to enhance productivity. Public Health Policy and Medical Decision Making Departmental Editors: Ebru Bish, University of Alabama Julie L. Higle, University of Southern California The department invites high quality papers that use data-driven methods to address important problems that arise in public health policy and medical decision-making domains. We welcome submissions that develop and apply mathematical and computational models in support of data-driven and model-based analyses for these problems. The Public Health Policy and Medical Decision-Making Department is particularly interested in papers that: Study high-impact problems involving health policy, treatment planning and design, and clinical applications; Develop original data-driven models, including those that integrate disease modeling with screening and/or treatment guidelines; Use model-based analyses as decision making-tools to identify optimal solutions, insights, recommendations. Articles must clearly articulate the relevance of the work to decision and/or policy makers and the potential impact on patients and/or society. Papers will include articulated contributions within the methodological domain, which may include modeling, analytical, or computational methodologies. Emerging Topics Departmental Editor: Alec Morton, University of Strathclyde Emerging Topics will handle papers which use innovative quantitative methods to shed light on frontier issues in healthcare management and policy. Such papers may deal with analytic challenges arising from novel health technologies or new organizational forms. Papers falling under this department may also deal with the analysis of new forms of data which are increasingly captured as health systems become more and more digitized.
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Measures cumulative publication volume and citation impact.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
| Category | Index | Rank | Quartile |
|---|---|---|---|
HEALTH POLICY & SERVICES | JCRSSCI | 42/125 | Q2 |
HEALTH POLICY & SERVICES | JCISSCI | 41/125 | Q2 |
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
| Year | Impact Factor | Articles / Year | Total Citations |
|---|---|---|---|
| 2026 | — | 40 | 7 |
| 2025 | 2 | 45 | 82 |
| 2024 | 2.3 | 33 | 164 |
| 2023 | 3.6 | 37 | 362 |
| 2022 | 3.979 | 39 | 405 |
| 2021 | — | 55 | 1,038 |
| 2020 | — | 27 | 661 |
| 2019 | — | 36 | 1,107 |
| 2018 | — | 35 | 1,422 |
| 2017 | — | 35 | 895 |
| 2016 | — | 41 | 1,242 |
| 2015 | — | 36 | 1,097 |
Journal Metrics & Citation Visualizations
Impact Factor Trend (2018–2024)
Clarivate IF trend for Health Care Management Science
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Similar Journals in Discipline
Journals in the same research field with comparable impact metrics