
Turn a broad field into one specific limitation you can test—without claiming that nobody has studied it.
Combine the problem, application and constraint. In Scholar, use phrases, date filters, Cited by and Related articles to reach relevant work.
For each paper, record the problem, dataset, method, baselines, metrics, result, limitation and future work.
Look for reused datasets, weak baselines, class imbalance, missing real-world tests, high compute cost or poor robustness.
Run a broad search, then a narrow synonym-rich search in Scholar and Scopus. If recent work solves it, refine the dataset, condition or constraint.
Use AI to compare your notes—not invent evidence. Verify every citation, dataset, claim and limitation in the original paper.
Use this structure: what exists, what remains limited, why it matters, and what your study will investigate.
Define the dataset, baseline, proposed change, evaluation metrics and real condition that will test whether the gap matters.
Search again using your method, application, dataset and constraint. A defensible gap survives recent-paper review and leads to measurable objectives.
Read the Research Gap Guide