Search the broad topic with a date filter set to that year, sort the results by relevance, and screen titles for candidates; then narrow the query with additional keywords drawn from those titles. This sequence works because a year filter removes records outside your window while relevance sorting keeps the closest topical matches near the top, and the titles you see give you the vocabulary to refine the next search.
- Run the broad topic with a year filter. In PubMed, apply a date filter for the year; in Google Scholar, use the date options to restrict results. Expected result: a result set limited to the year you know.
- Sort by relevance. Google Scholar documents date sorting and related-article links, so check which sort is active before screening. Expected result: the most topically relevant records appear first rather than the newest ones.
- Screen titles. Read titles for terms that match your topic and note the specific words they use. Expected result: a shortlist of candidate papers plus a set of useful keywords.
- Narrow with additional keywords. Add the terms you collected to the query. In PubMed you can use field tags and phrase searching; in OpenAlex, filters can narrow works by attributes such as concepts and dates. Expected result: a smaller set of records closer to the paper you want.
- Follow links from a good candidate. Google Scholar provides related-article and cited-by links, and PubMed offers similar-article links. Expected result: adjacent papers that share the topic or citation neighborhood.
If the broad search returns too many records to screen, add one distinctive keyword from a promising title at a time and compare the result count after each addition. If it returns too few, remove the year filter temporarily to see whether the topic is indexed under different wording, then reapply it. When a title looks right but the record is unclear, use citation matching in PubMed or search the exact title in quotation marks in Google Scholar to locate the full record.