Create a literature map by defining a corpus, coding comparable fields, grouping relationships, tracing citations, and testing whether a gap is real.
Define the map boundary
State the research question, date range, languages, disciplines, study types, and inclusion rules. A map without a boundary becomes a picture of whichever sources you happened to find.
Choose relationship types
Decide whether edges represent citation, shared method, competing theory, similar population, replication, or disagreement. Do not mix relationship meanings in one visual without a legend.
Code comparable fields
For each source, record question, design, population or corpus, concept, data, result, limitation, and relevance. Use controlled labels where possible while preserving important nuance in notes.
Trace landmark and recent work
Use backward citation searching, forward citation data, and database queries. Verify records and identifiers, and watch for field-specific terminology that hides adjacent work.
Test the proposed gap
A sparse area can mean missing research, poor search terms, inaccessible literature, a narrow boundary, or a question the field considers unproductive. Describe the evidence for the gap and the search limitations.
Frequently asked questions
Do I need special mapping software?
No. A spreadsheet can support a rigorous first map if fields and relationships are explicit.
What is a node?
Usually a source, study, concept, or author; define it clearly in the legend.
How many papers should I include?
Enough to represent the bounded question; report the search and inclusion limits.
Can citation count prove importance?
No. Counts reflect time, field size, database coverage, and social factors as well as influence.
How do I identify disagreement?
Compare matched claims, methods, populations, assumptions, and uncertainty.
What makes a research gap credible?
A transparent search, explicit boundary, mapped evidence, and acknowledgment of plausible missing literature.
Map relationships, not just citations
Choose a unit for each node: a paper, concept, method, dataset, or disputed claim. Connect nodes with labeled relationships such as extends, contradicts, replicates, applies, critiques, or shares data. Start from a small set of central sources and expand only when a new item changes the map. Use color or tags for study design, population, date, and confidence so clusters and gaps can be inspected rather than guessed. A dense citation cluster is not automatically the most reliable one; check whether it rests on a common dataset or repeated assumption. Update the map when your question changes, and keep a short note explaining why each connection exists.
CTA: Start reading with Readever and build a source-linked understanding you can audit later.
Related Readever pages
- How to read scientific papers
- Research paper summary template
- Organize research papers and notes
- Literature review matrix template
