Learning Health Systems Journal Impact Factor: Latest Numbers Revealed
- 01. What the Learning Health Systems impact factor means
- 02. How Learning Health Systems compares to similar journals
- 03. Journal metrics snapshot
- 04. How the Learning Health Systems impact factor has evolved
- 05. Why the impact factor matters for authors
- 06. How to interpret the Learning Health Systems impact factor correctly
- 07. Practical tips for targeting Learning Health Systems
The Learning Health Systems journal currently reports a Journal Impact Factor of 2.6, based on the most recent official data from the Clarivate Journal Citation Reports (JCR) and the journal's own metrics page on Wiley Online Library. This places it in the upper half of its category, reflecting solid but not top-tier citation performance within the broader health policy and health informatics landscape.
What the Learning Health Systems impact factor means
The Journal Impact Factor for Learning Health Systems is defined as the average number of citations received in a given year to articles published in the immediately preceding two years. For the latest official cycle, that figure is 2.6, meaning that, on average, articles published in 2022 and 2023 were cited 2.6 times in 2024 across the Web of Science-indexed corpus.
In addition to the standard two-year Journal Impact Factor, some aggregators also report a 5-year impact metric; for Learning Health Systems that longer-term window climbs to around 3.2, indicating that articles tend to accumulate citations over several years rather than peaking in the first or second year. This suggests that the journal's work is being integrated into evolving methodological and policy debates over time, rather than being treated as ephemeral commentary.
How Learning Health Systems compares to similar journals
Learning Health Systems sits in the HEALTH POLICY & SERVICES-adjacent category within the Web of Science Emerging Sources Citation Index (ESCI), rather than the more crowded and highly ranked core JCR set. Its 2.6 impact factor corresponds to a category percentile of roughly 66 percent, which means it outperforms about two-thirds of journals in its immediate citation cluster.
Alternative metrics from Scopus and other platforms reinforce this positioning. For example, Learning Health Systems reports a CiteScore around 3.6 and an SJR (SCImago Journal Rank) that places it in Q3 under the broader Health Informatics umbrella. This combination of JIF, CiteScore, and SJR signals that the journal is a mid-tier, niche venue with growing influence in both health policy and data-driven clinical improvement.
Journal metrics snapshot
Beyond the Journal Impact Factor, Learning Health Systems publishes under Wiley as a quarterly, fully open access title, with an eISSN of 2379-6146 and a publication history beginning in 2017. The journal's average acceptance rate is reported at approximately 46 percent, with a median time from submission to first decision of about 52 days, which is relatively fast for a specialized health policy and informatics outlet.
The table below summarizes key performance indicators for Learning Health Systems as reported by major indexing and analytics platforms in 2025-2026 cycles.
| Metric | Value | Source type |
|---|---|---|
| Journal Impact Factor | 2.6 | Clarivate / Wiley journal metrics |
| 5-year impact | 3.2 | Clarivate-style aggregate |
| CiteScore | 3.6 | Scopus / Researcher.Life |
| SJR (health informatics) | Q3 | SCImago / journal dashboards |
| Acceptance rate | ~46% | Wiley journal metrics |
| Sub to first decision | 52 days (median) | Wiley journal metrics |
| Indexing status | Web of Science ESCI, Scopus, DOAJ | Directory / indexer listings |
How the Learning Health Systems impact factor has evolved
Since its launch in 2017, Learning Health Systems has moved from a nascent, citation-sparse title into a stable, mid-impact venue. Early post-launch years saw single-digit article counts and very low citation volumes, but by 2023-2024 the journal was publishing around two dozen articles per year, with cumulative citation counts that support the 2.6 impact level.
Some third-party calculators, such as Exaly, estimate a 2024 impact factor slightly lower than the official 2.6, landing in the 1.1-1.2 range when using a slightly different citation window or set of years. This discrepancy highlights how impact numbers can vary depending on the underlying database and calculation logic, even when the journal's real-world citation activity is broadly consistent.
Why the impact factor matters for authors
For academics and practitioners submitting to Learning Health Systems, the 2.6 impact factor suggests a better chance of being cited than the average journal in its category, but it is not in the elite tier that commands sub-20 percent acceptance rates. This can make it an attractive option for scholars working on applied learning health systems research that bridges policy, implementation science, and digital health without needing to aim for the very top-tier general-medicine journals.
Because the journal is fully open access, all articles receive the same visibility regardless of institutional subscription, which can help boost citation counts over time, especially for work on scalable data platforms or quality-improvement infrastructures. Typical article-processing charges hover around USD 2,000, which is competitive with other mid-tier health informatics and health-services journals.
How to interpret the Learning Health Systems impact factor correctly
Interpreting the Journal Impact Factor correctly involves distinguishing it from individual article performance; an impact factor of 2.6 means that the average article attracts about that many citations, but many pieces may be cited far more or far less. Evaluating a single paper in Learning Health Systems should therefore rely on its own citation count, altmetric score, and real-world policy uptake, rather than the journal-level metric alone.
Moreover, the journal's strong presence in the learning health systems niche-where it regularly publishes scoping reviews and bibliometric analyses of the field-helps anchor its reputation beyond raw citation counts. As the broader learning health systems literature shifts from conceptual frameworks to empirical evaluations, the journal's impact factor is likely to face upward pressure if its empirical work continues to be widely adopted.
Practical tips for targeting Learning Health Systems
If your goal is to publish in Learning Health Systems, aligning your manuscript with its core themes can increase your chances of acceptance and, potentially, subsequent citation. Key areas that the journal highlights include:
- Empirical evaluations of learning health systems interventions in real-world settings, especially in oncology, cardiovascular care, and genomic medicine.
- Studies that integrate data platforms, electronic health records, and analytics into quality-improvement workflows.
- Work on organizational and human-factor barriers to embedding learning cycles into clinical practice.
- Policy analyses and governance frameworks for data sharing and ethics in large-scale health-data ecosystems.
To maximize your odds, consider this rough submission roadmap:
- Review the journal's aims and scope page and recent "editorial" or "soundings" pieces to confirm that your topic fits its current editorial priorities.
- Ensure your methods and data clearly demonstrate how findings can be generalized or scaled, since the journal favors work that moves beyond single-site case studies.
- Pre-format your manuscript to Wiley's requirements, including structured abstracts and explicit sections on implications for learning health systems practice.
- Submit via the official Wiley submission portal and track the 52-day median timeline benchmark so you know when it is reasonable to inquire about status.
- Be prepared to revise thoroughly; the 46 percent acceptance rate is moderate, so reviewers often expect substantial methodological or framing improvements.
Everything you need to know about Learning Health Systems Journal Impact Factor Latest Numbers Revealed
What is the current impact factor of Learning Health Systems?
The current official Journal Impact Factor for Learning Health Systems is 2.6, based on 2022-2023 publications and 2024 citations as reported by Clarivate and reflected on the journal's Wiley metrics page. Third-party aggregators may show slightly different figures due to alternate calculation windows, but 2.6 is the standard reference used by researchers and institutions.
Is Learning Health Systems a high-impact journal?
Learning Health Systems is best described as a mid-impact, specialized journal rather than a top-tier general-medicine title. Its 2.6 impact factor and Q3 ranking under Health Informatics indicate robust but not elite citation performance, which makes it attractive for focused work on learning health systems that may not fit in broader clinical journals.
How does Learning Health Systems rank in health policy and informatics?
Within the Web of Science-indexed landscape, Learning Health Systems sits in the HEALTH POLICY & SERVICES cluster and exceeds roughly two-thirds of journals in its category by impact percentile. In Scopus-based metrics, it lands in Q3 under Health Informatics, reinforcing its status as a respected but not top-quartile venue for health-data and quality-improvement research.
Is Learning Health Systems open access?
Yes, Learning Health Systems operates as a fully open access journal, meaning all articles are immediately available without subscription barriers. To support this model, the journal charges an article-processing fee typically around USD 2,000, which is disclosed on its Wiley submission and metrics pages.
How long does it take to get a decision at Learning Health Systems?
According to the journal's official metrics dashboard, the median time from submission to first decision at Learning Health Systems is about 52 days. This is faster than many similar health policy and informatics journals, making it a reasonably efficient option for authors who need timely feedback on their work.
What fields does Learning Health Systems cover?
Learning Health Systems focuses on the intersection of learning health systems, health informatics, data platforms, and quality improvement in clinical care. Common themes include oncology, cardiovascular care, genomic medicine, electronic health records, ethics, and governance models for continuous learning from routine care data.
Should I submit a concept paper or a full empirical study?
Learning Health Systems currently favors empirical evaluations and methodologically rigorous studies over purely conceptual frameworks, in line with the broader learning health systems literature's shift toward implementation and evaluation. Conceptual pieces can still be accepted if they directly inform policy or governance, but empirical work with clear data sources and measurable outcomes generally aligns better with the journal's current editorial direction.