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2026 Journal Metrics Score
4.4
Updated August 2026 · 2-year citation average from OpenAlex data
The Journal Metrics Score is the two-year mean citedness of a journal, computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works. Quartiles rank journals within each OpenAlex subfield by score. Data source: OpenAlex (CC0).
| Category | Quartile |
|---|---|
| Management Information Systems | Q1 |
| Safety Research | Q1 |
| Statistics and Probability | Q1 |
| Information Systems | Q1 |
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Harvard Data Science Review's 2026 Journal Metrics Score is 4.4, updated August 2026 from OpenAlex citation data. The journal is ranked Q1 in this Journal Metrics record.
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Ranked #354 in Computer Science by Journal Metrics Score and #354 among Q1 Computer Science journals. This context helps compare Harvard Data Science Review against journals publishing in the same field.
Published 452 papers across the last 5 recorded years with a current Journal Metrics Score of 4.4.
Source: the current OpenAlex source record. OpenAlex works can include multiple work types. Fully Open Access is a source-level flag. Recent OA Works is summed from OpenAlex's counts_by_year series (up to the latest ten years); it is not a lifetime OA percentage. Any APC shown here is an indicative OpenAlex value—verify current charges on the journal's official website.