How to Write a Thematic Literature Review: A Beginner’s Guide

Key Takeaways:

• A thematic literature review groups findings by recurring themes, patterns, and concepts instead of by chronology or by individual source, which reveals patterns across a whole body of research.
• Established frameworks, such as Braun and Clarke’s thematic analysis and Thomas and Harden’s thematic synthesis, add methodological rigor to theme identification.
• Tools such as R Discovery for literature discovery and Paperpal’s citation generator, chat with PDF, and reference checker can speed up nearly every stage of the process.
• Avoiding common pitfalls, such as forcing studies into predetermined themes or skipping quality appraisal, keeps a thematic synthesis credible and useful to readers.

Glossary of Key Terms

What Is a Thematic Literature Review?

A thematic literature review is a method of organizing and synthesizing findings from multiple studies around recurring themes, patterns, or concepts rather than by publication date, author, or methodology. Instead of summarizing each source in turn, the writer groups insights from many sources under shared themes, then discusses what the literature collectively says about each one.

This format is common in dissertations, systematic reviews, and qualitative meta-syntheses because it highlights patterns, contradictions, and gaps across a body of research, rather than treating each study as a standalone summary. It works especially well for interdisciplinary topics, where relevant studies come from different fields and use different terms for related ideas.

Thematic Review vs Other Review Types

Choosing the right review format depends on your research question and how much synthesis, rather than description, your project requires. The table below compares 4 common review types.

Advantages of a Thematic Approach

• Reveals patterns, points of agreement, and contradictions across a body of research rather than isolated study summaries.
• Works well for interdisciplinary topics, where terminology and methods differ across fields.
• Helps readers grasp the conceptual landscape of a field quickly, without reading every study individually.
• Supports building a conceptual framework or model that can guide future research.
• Flexible enough to suit qualitative, quantitative, and mixed-methods reviews.

What Methodological Frameworks Should You Follow?

Two frameworks guide most thematic literature reviews: Braun and Clarke’s thematic analysis and Thomas and Harden’s thematic synthesis. Both provide structured steps for moving from raw literature to interpreted themes, which reduces the risk of superficial or inconsistent theme identification.

Braun and Clarke’s Thematic Analysis

This widely used framework, originally developed for qualitative research, breaks theme identification into 6 structured phases. Applying it to a literature review keeps theme development systematic rather than relying on impression or memory alone.

Phase 1: Familiarizing yourself with the literature.

Read and re-read each source before coding anything. This means noting initial observations, unusual findings, or recurring language, without yet trying to organize them. Skipping this phase often leads to shallow themes built on a partial understanding of the literature.

Phase 2: Generating initial codes.

Work systematically through the dataset, labeling meaningful segments of text, such as findings, methods, or conclusions, with short descriptive codes. Coding should cover the entire dataset, not just sources that obviously support your research question, since unexpected or contradictory findings often matter most.

Phase 3: Searching for candidate themes.

Group related codes into broader candidate themes. At this stage, themes are provisional. Some codes may sit under multiple themes, and some may not fit anywhere yet. A visual aid, such as a table or a simple mind map, helps track how codes cluster together.

Phase 4: Reviewing themes.

Check each candidate theme against 2 levels of data: the individual coded extracts and the dataset as a whole. Ask whether the theme is genuinely supported across multiple sources, whether it overlaps too heavily with another theme, and whether it should be split, merged, or dropped. This phase is often iterative and may require several passes.

Phase 5: Defining and naming themes.

Write a clear definition for each theme, explaining what it captures and, just as importantly, what it does not. Give each theme an analytical name rather than a generic topic label. For example, “barriers to policy adoption in green infrastructure” is more useful than the vague label “policy.”

Phase 6: Producing the final written synthesis.

Write up each theme as an integrated discussion of the literature, supported by specific studies, rather than a list of source summaries. This phase should also connect themes back to your original research question and, where relevant, to any conceptual framework you have built.

Because this framework was designed for primary qualitative data, some reviewers adapt it slightly for literature reviews, treating each study’s findings as the “data” being coded rather than interview transcripts or field notes.

Thomas and Harden’s Thematic Synthesis

Designed specifically for synthesizing findings across qualitative studies within a systematic review, this method moves through 3 clearly defined stages, each building on the last. It is particularly well suited to reviews that need a transparent, auditable synthesis process, since every analytical theme can be traced back to specific codes and sources.

Stage 1: Free line-by-line coding.

Each study’s findings section is coded line by line, capturing the meaning of the text as closely as possible to what the original authors reported. Codes at this stage stay close to the data and are not yet organized into any broader structure. Because coding draws directly from published findings rather than raw data, this stage works well even when reviewers cannot access the original datasets behind each study.

Stage 2: Developing descriptive themes.

Related codes are grouped into descriptive themes that summarize patterns across studies while still staying close to the original findings. Descriptive themes are essentially an organized restatement of what the literature already says, without adding new interpretation.

Stage 3: Generating analytical themes.

Reviewers move beyond the descriptive themes to build analytical themes that offer new insight, going further than what any single included study concluded on its own. This is where the synthesis adds genuine value, translating patterns across studies into implications for practice, policy, or theory.

Because this method was developed for systematic reviews, it pairs naturally with a structured search strategy and a PRISMA-style screening process, and it is often the preferred choice when a thematic synthesis needs to withstand the same scrutiny as the rest of a systematic review.

Inductive vs Deductive Theme Identification

Inductive coding lets themes emerge directly from the data, which suits exploratory topics with limited existing theory. Deductive coding applies themes from an existing model or framework, which suits reviews testing a known theory against the literature. Many thematic reviews combine both approaches at different stages.

Searching and Screening the Literature

A thematic review is only as strong as the search behind it. Define clear inclusion and exclusion criteria, such as publication date range, study design, and language, before you start searching, so that theme identification later rests on a consistent, well-defined set of sources.

• Search multiple databases, such as Scopus, Web of Science, and PubMed, rather than relying on one source.
• Use Boolean operators and controlled vocabulary, such as MeSH terms, to refine results.
• Record your search strategy and results using a PRISMA-style flow diagram for transparency.
• Screen titles and abstracts first, then review full texts of shortlisted papers only.

Platforms such as R Discovery can supplement database searching by recommending papers matched to your research interests using AI, and by letting you organize shortlisted studies into collections for later screening and theme coding.

Assessing the Quality of Included Studies

Quality appraisal means evaluating the methodological rigor of each included study before using its findings in your synthesis. Studies included without appraisal can distort your themes and weaken the credibility of your review, especially if weaker studies are cited as if they were just as reliable as stronger ones.

• Use established checklists, such as CASP, to assess study design, sample size, and bias.
• Note each study’s limitations so you can weigh its contribution to a theme appropriately.
• Consider excluding or clearly flagging studies that fall below a minimum quality threshold.

Paperpal’s chat with PDF tool lets you ask direct questions about a study’s sample size, methodology, or limitations instead of rereading the full paper, which speeds up quality appraisal across a large set of sources.

Here’s a subsection on commonly used appraisal checklists, right-sized for the “Assessing the Quality of Included Studies” section:

Common Quality Appraisal Checklists

Different checklists suit different study designs, so match the tool to your source type rather than using one checklist for every study in your review.

Step-by-Step Process to Write a Thematic Literature Review

The following 9 steps walk through the full process, from defining your research question to final proofreading.

Step 1: Define Your Research Question and Scope

Start with a focused research question that specifies your topic, population, or context (i.e., study scope and delimitations). A vague question, such as “What does the literature say about urban planning?”, is harder to review than a focused one, such as “How does the literature address community engagement in sustainable urban planning between 2015 and 2025?” A well-scoped question also shapes your search terms and inclusion criteria.

Step 2: Search and Collect the Literature

Run your search strategy across chosen databases, applying your inclusion and exclusion criteria consistently. Keep a log of every search string, database, and date range used, so the process can be reported or repeated later.

Tools such as R Discovery can support this stage with a personalized feed of new papers and saved reading collections, helping you build a working reading list faster than manual database searching alone.

Step 3: Extract Data Into a Synthesis Matrix

Once your final set of studies is confirmed, extract key details into a synthesis matrix: a table with sources as rows and themes, findings, and study characteristics as columns. This matrix becomes your primary reference while writing, letting you scan across sources by theme instead of rereading each paper repeatedly. Spreadsheets or qualitative software such as NVivo, ATLAS.ti, or MAXQDA can all be used, depending on the review’s scale.

Step 4: Identify and Code Themes

Read through your synthesis matrix and group related findings into candidate themes, using inductive coding, deductive coding, or both. Keep refining themes until you reach saturation, the point at which new sources stop revealing new patterns. Give each theme a clear, analytical name rather than a generic topic label, and confirm it is supported by multiple sources before finalizing it.

Step 5: Appraise the Quality of Each Study

Cross-reference your theme groupings against the quality appraisal scores gathered earlier. If a theme rests heavily on studies with significant limitations, state this explicitly in your write-up rather than presenting the theme as equally well-supported as one built on stronger evidence.

Step 6: Build a Conceptual Framework

Map how your themes relate to one another using a simple conceptual framework or diagram. Some themes may be sequential, some may overlap, and others may represent competing perspectives in the literature. This model gives readers a visual anchor for how your review’s argument fits together before they read the full synthesis.

Step 7: Write Each Thematic Section

Write each thematic section by integrating multiple sources into a single, flowing discussion rather than summarizing one study after another. Note points of agreement, disagreement, and gaps within each theme, and use transition sentences to show how the theme connects to your overall research question.

Step 8: Cite Every Source Accurately

As your reference list grows across dozens of sources, formatting errors become easy to miss. Paperpal’s citation generator can automatically format in-text citations and references in styles such as APA, MLA, or Harvard, which reduces manual formatting errors as the list grows.

Step 9: Revise, Proofread, and Finalize

Before submission, reread your review for balance across themes and clarity of argument. Running your reference list through Paperpal’s reference checker helps catch mismatched in-text citations, missing entries, and formatting inconsistencies that are easy to overlook in a long document.

Worked Example: Thematic Review of Sustainable Urban Planning

Consider a thematic review addressing the question, “How does the literature address sustainable urban planning?” After screening 40 studies, 4 recurring themes emerge: green infrastructure, community engagement, policy frameworks, and climate resilience.

Sample Synthesis Matrix

Sample Synthesized Paragraph

Across the reviewed studies, green infrastructure emerges as a consistent lever for climate adaptation. Alvarez et al. (2021) found that expanded tree cover measurably lowered urban temperatures, while Odeya and Klein (2023) linked community gardens to both biodiversity gains and resident well-being. Together, these findings suggest that green infrastructure delivers overlapping environmental and social benefits, though most studies still evaluate these outcomes separately rather than as a combined effect.

Sample Conceptual Framework

A written framework can summarize how the 4 themes interact, even without a diagram:

• Policy frameworks shape the extent of investment in green infrastructure projects.
• Green infrastructure investment contributes directly to climate resilience outcomes.
• Community engagement acts as a cross-cutting factor, influencing both policy adoption and the long-term success of green infrastructure projects.

What Common Mistakes Should You Avoid?

The most common mistake is forcing studies into predetermined themes instead of letting themes reflect what the literature actually shows. Watch for these related pitfalls as well.

• Creating superficial themes that are just topic labels rather than analytical categories
• Giving uneven attention to themes, so some are thoroughly developed and others are thin
• Listing studies one after another within a theme instead of truly synthesizing them
• Skipping quality appraisal and treating all included studies as equally reliable
• Using a narrow search strategy that misses relevant literature outside familiar databases
• Leaving citation formatting inconsistent across a long reference list
• Failing to revisit and refine themes once new literature is added

Which Tools Can Simplify a Thematic Literature Review?

AI-powered tools can support nearly every stage of a thematic review, from discovering relevant papers to formatting the final reference list. The table below summarizes 4 tools referenced throughout this guide.

Frequently Asked Questions

What is the difference between a thematic literature review and a systematic review?

A thematic literature review organizes findings by recurring themes, while a systematic review follows a strict, predefined protocol to answer a specific question. A systematic review can include a thematic synthesis stage, but not every thematic review follows systematic review protocols such as PRISMA.

How many themes should a literature review have?

Most thematic reviews work well with 3 to 6 main themes. Fewer than 3 often means themes are too broad, while more than 6 can fragment the discussion and make patterns harder for readers to follow.

What is the best software for thematic analysis of literature?

NVivo, ATLAS.ti, and MAXQDA are widely used for coding larger literature sets, while a well-structured spreadsheet works fine for smaller reviews. The right choice depends on the number of sources and how detailed your coding needs to be.

How long should a thematic literature review be for a dissertation?

Length varies by institution and degree level, but dissertation literature reviews commonly run 6,000 to 10,000 words. Check your department’s specific guidelines, since word counts can differ significantly by field and program.

Can a thematic literature review be used in quantitative research?

Yes. While thematic analysis originated in qualitative research, a thematic literature review can synthesize quantitative findings by grouping studies around shared variables, outcomes, or hypotheses rather than qualitative codes.

How do you identify themes in a literature review without qualitative data software?

A synthesis matrix built in a spreadsheet works well without specialized software. List sources as rows and recurring concepts as columns, then manually group related findings into themes, refining them as you add more sources.

What citation style is best for a thematic literature review?

The right style depends on your field and institution: APA is common in social sciences, MLA in humanities, and Harvard or Vancouver in many science and medical programs. Confirm requirements with your supervisor or journal before finalizing citations.

How do I find relevant papers quickly for a literature review?

Combining targeted database searches with an AI discovery tool speeds up this stage considerably. R Discovery recommends papers based on your research interests and lets you save and organize them into reading collections as you screen the literature.

R Discovery is a literature search and research reading platform that accelerates your research discovery journey by keeping you updated on the latest, most relevant scholarly content. With 250M+ research articles sourced from trusted aggregators like CrossRef, Unpaywall, PubMed, PubMed Central, Open Alex and top publishing houses like Springer Nature, JAMA, IOP, Taylor & Francis, NEJM, BMJ, Karger, SAGE, Emerald Publishing and more, R Discovery puts a world of research at your fingertips. 

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This article was originally published on October 6, 2023, and updated on July 10, 2026.