10 Literature Review Tools for Research Workflows (2026)

Your literature review is the lore behind your research paper.

A literature review requires much more than finding a few papers and summarizing them. Depending on the type of review, you may need to search multiple databases, screen hundreds or thousands of records, read full-text papers, extract information, organize references, identify connections between studies, and synthesize findings.

The right literature review tools can make each of these steps easier.

Some tools are designed for finding and understanding research papers, while others focus on reference management, systematic-review screening, data extraction, or citation mapping.

No single tool is ideal for every stage of a literature review, so the best choice depends on your research question and workflow. Let's dive in.

These ten options cover discovery, reading, reference management and systematic-review screening. They are grouped by task, not ranked by quality; check which tasks, source types and team features you need.

A literature review is one of the most critical yet tedious stages in composing a research paper. Many students find it an uphill task since it requires extensive reading and careful organization.

Using some of the best literature review tools listed here, you can make your life easier by overcoming some of the existing challenges in literature reviews. From collecting and classifying to analyzing and publishing research outputs, these tools help you with your literature review and improve your productivity without additional effort or expenses.

SciSpace is an AI for academic research that will help find research papers and answer questions about a research paper. You can discover, read, and understand research papers with SciSpace making it an excellent platform for literature review. Featuring a repository with a broad research-paper collection, it comes with your AI research assistant called Copilot that offers explanations, summaries, and answers as you read.

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SciSpace has a dedicated literature review tool that finds scientific articles when you search for a question. Based on semantic search, it shows all the research papers relevant for your subject. You can then gather quick insights for all the papers displayed in your search results like methodology, dataset, etc., and figure out all the papers relevant for your research.

Abstracts are not always enough to determine whether a paper is relevant to your research question. For starters, you can ask questions to your AI research assistant, SciSpace Copilot to explore the content and better understand the article. Additionally, use the summarize feature to quickly review the methodology and results of a paper and decide if it is worth reading in detail.

A big barrier non-native English speakers face while conducting a literature review is that a significant portion of scientific literature is published in English. But with SciSpace Copilot, you can review, interact, and learn from research papers in any language you prefer — presently, it supports 75+ languages. The AI will answer questions about a research paper in your mother tongue.

Many researchers use Zotero to create a library and manage research papers. SciSpace lets you import your scientific articles directly from Zotero into your SciSpace library and use Copilot to comprehend your research papers. You can also highlight key sections, add notes to the PDF as you read, and even turn helpful explanations and answers from Copilot into notes for future review.

Come across complex mathematical equations or difficult concepts? Simply highlight the text or select the formula or table, and Copilot will provide an explanation or breakdown of the same in an easy-to-understand manner. You can ask follow-up questions if you need further clarification.

Highlight phrases or sentences in your research paper to get suggestions for related papers in the field and save time on literature reviews. You can also use the 'Trace' feature to move across and discover connected papers, authors, topics, and more.

SciSpace Copilot is now available as a Chrome extension, allowing you to access its features directly while you browse scientific literature anywhere across the web.

When you're conducting a literature review, you want credible information with proper references. Inspect the references and cited passages in each answer, then check the original paper before reusing a claim.

SciSpace provides citations with AI-generated answers so researchers can inspect the relevant section of the source paper before using a claim in their own work.

Best for: Researchers who want one workspace for discovering, reading, understanding, and analyzing academic papers.

Mendeley Citation Manager is a reference manager with web and desktop workflows. It helps simplify your citation management workflow significantly. Here are some ways you can speed up your referencing game with Mendeley.

Easily add references from your Mendeley library to your Word document, change your citation style, and create a bibliography, all without leaving your document.

It allows you to access your references quickly. Search for a term, and it will return results by referencing the year, author, or source.

Add sources to your Mendeley library by dragging PDF to Mendeley Reference Manager. Mendeley will automatically remove the PDF(s) metadata and create a library entry.‌

It helps you highlight and comment across multiple PDFs while keep them all in one place using Mendeley Notebook. Notebook pages are not tied to a reference and let you quote from many PDFs.

Best for: Researchers who want reference management, PDF organization, annotation, and citation tools in one workflow.

A big part of many literature review workflows, Zotero is a free, open-source tool for managing citations that works as a plug-in on your browser. It helps you gather the information you need, cite your sources, lets you attach PDFs, notes, and images to your citations, and create bibliographies.

Search for research articles on a keyword, and add relevant results to your database. Then, select the articles you are most interested in, and import them into Zotero.

With Zotero, you don’t have to scramble for different bibliography formats. Simply use the Zotero-Word plug-in to insert in-text citations and generate a bibliography.

You can save a paper and sync it with an online library to easily share your research for group projects. Zotero can be used to create your database and decrease the time you spend formatting citations.

Best for: Students and researchers looking for a free, flexible reference manager.

Sysrev supports collaborative document review and data extraction. Check current access terms and project settings on the Sysrev site before starting a review.

Some of the features of Sysrev include:

Group labels can be a powerful concept for creating database tables from documents. When exported and re-imported, each group label creates a new table. To make labels for a project, go into the manage -> labels section of the project.

Group labels enable project managers to pull table information from documents. It makes it easier to communicate review results for specific articles.

Sysrev's label counting tool provides filtering and visualization options for keeping track of the distribution of labels throughout the project's progress. Project managers can check their projects at any point to track progress and the reviewer's performance.

The Sysrev tool for concordance allows project administrators and reviewers to perform analysis on their labels. Concordance is measured by calculating the number of times users agree on the labels they have extracted.

Best for: Collaborative document review and structured data extraction.

Colandr is a free, open-source, internet-based analysis and screening software used as an AI for academic research. It was designed to ease collaboration across various stages of the systematic review procedure. The tool can be a little complex to use. So, here are the steps involved in working with Colandr.

The first step to using Colandr is setting up an organized review project. This is helpful to librarians who are assisting researchers with systematic reviews.

The planning stage is setting the review's objectives along with research queries. Any reviewer can review the details of the planning stage. However, they can only be modified by the author for the review.

In this phase, users can upload their results from database searches. Colandr also offers an automated deduplication system.

The system in Colandr will discover the combination of terms and expressions that are most useful for the reader. If an article is selected, it will be moved to the final step.

Colandr data extraction is more efficient than the manual method. It creates the form fields for data extraction during the planning stage of the review procedure. Users can decide to revisit or modify the form for data extraction after completing the initial screening.

Best for: Researchers working on structured or systematic reviews who need screening and data-extraction functionality.

Elicit is an AI research tool designed to help researchers search, screen, compare, and synthesize academic literature.

Its current platform says its search covers 138+ million academic papers and conference proceedings, with more than 545,000 clinical trials from ClinicalTrials.gov.

Elicit allows researchers to search using natural-language research questions rather than relying exclusively on keyword combinations.

Instead of opening papers one by one, researchers can organize information from multiple studies into structured tables and compare fields across papers.

Elicit now includes systematic-review workflows for screening and data extraction. Its current documentation says researchers can screen up to 40,000 papers in real time and use structured criteria to guide inclusion decisions.

Elicit's Reports workflow can generate literature-review-style reports from the papers found during research. Claims are linked to supporting passages from the underlying sources.

Best for: AI-assisted literature search, paper comparison, screening, structured extraction, and evidence synthesis.

Rayyan is designed primarily for screening and managing research references, particularly in systematic and evidence-synthesis workflows.

It supports both individual and collaborative reviews.

Researchers can make Include, Exclude, or Maybe decisions while applying labels and exclusion reasons.

Rayyan's Blind Mode can hide other reviewers' decisions during independent screening, allowing teams to compare decisions later and resolve disagreements.

Researchers can define inclusion and exclusion criteria before screening begins. Rayyan also provides PICO-related filtering for supported plans.

Current Rayyan documentation includes screening, full-text review, data extraction, risk-of-bias assessment, deduplication, and PRISMA-related functionality.

Best for: Systematic-review screening and collaborative evidence-review workflows.

Covidence is a systematic-review management platform built around the stages of an evidence review.

Its current site reports 800,000+ reviewers, 500+ institutions, and active reviews across 180+ countries.

Covidence can import citations from reference managers and other supported formats.

Researchers can screen titles and abstracts, move eligible studies to full-text screening, and record reasons for exclusion.

Covidence provides structured data-extraction workflows for included studies.

The platform also supports risk-of-bias assessment and related evidence-review tasks.

Best for: Research teams conducting systematic reviews that need a structured workflow from screening through extraction and quality assessment.

ResearchRabbit supports Explore related papers and citation connections from seed papers.

Instead of relying only on keyword searches, researchers can start with papers they already know and explore connected literature.

You can use existing papers as starting points and explore related research through citation and author connections.

Visual connections can make it easier to identify clusters of related papers, influential authors, and research areas.

ResearchRabbit can help researchers organize papers discovered during the exploration process.

Best for: Discovering related research and expanding a literature search from known papers.

Litmaps supports Map a topic through citation networks and monitor related literature.

Its current site says its catalogue contains 270+ million papers.

Litmaps creates visual maps of relationships between papers, making it easier to see how research topics and citations connect.

Researchers can start with known papers and use their citation relationships to discover additional literature.

Litmaps can send automatic alerts when new articles relevant to a research topic appear.

Best for: Citation mapping, literature discovery, and monitoring research topics over time.

Before choosing a tool, identify the part of your workflow that is taking the most time.

• If you need to find relevant papers, look for semantic search, citation discovery, database coverage, and filtering.
• If you need to understand papers, look for PDF reading, summarization, question answering, and structured extraction.
• If you're conducting a systematic review, prioritize screening, deduplication, collaboration, inclusion and exclusion criteria, data extraction, risk-of-bias assessment, and PRISMA-oriented reporting.
• If your biggest problem is managing references, a reference manager such as Zotero or Mendeley may be more useful than an AI research tool.

For many researchers, the most effective workflow combines two or more types of tools.

Writing a literature review is not easy. It’s a time-consuming process, which can become tiring at times. The literature review tools mentioned in this blog do an excellent job of maximizing your efforts and helping you write literature reviews much more efficiently. With them, you can breathe a sigh of relief and give more time to your research.

As you dive into your literature review, don’t forget to use SciSpace ResearchGPT to streamline the process. It facilitates your research and helps you explore key findings, summary, and other components of the paper easily.

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