openalex.org

What is OpenAlex?

OpenAlex is a free, open catalog of the world's research, provided by the nonprofit OpenAlex. It indexes scholarly works along with the authors, institutions, sources, and topics connected to them, and makes that data available to search, analyze, and reuse. Access happens through a web app, an API, and bulk downloads, so you can either explore interactively or pull data programmatically.

What you can do with it

• Search and browse research metadata in the browser-based app.
• Query at scale through the API, useful for building dashboards, literature tools, or analytics pipelines.
• Download bulk data when you need to run your own large-scale analysis rather than hitting an API repeatedly.

Who it suits

• Researchers mapping a field, tracking an institution's output, or finding collaborators.
• Developers and data scientists building scholarly search or bibliometric tools.
• Librarians and research offices analyzing publication patterns.

A practical note The site relies on JavaScript in the browser. If you want the data without a browser, use the API; the documentation explains how, and a listing of every docs page is available. That makes the API the better entry point for automated work, while the web app fits quick, one-off exploration.

A useful next step: decide whether you need interactive lookup or repeatable, scripted access. If it's the latter, start with the API documentation rather than the web app.

How do I use the OpenAlex API to query scholarly works?

Use the OpenAlex API as a plain HTTP endpoint: you send a GET request to a URL, optionally with filter, search and paging parameters, and you get JSON back. No key or login is required for normal use.

The API host is api.openalex.org, and the works endpoint is https://api.openalex.org/works. A minimal query looks like this:

https://api.openalex.org/works?search=transformer+language+model&per-page=25

Common parameters

• search= — free-text search across titles, abstracts and full text where available.
• filter= — precise field matching, e.g. filter=publication_year:2020,is_oa:true. Multiple filters are comma-separated (AND); repeat the parameter or use | for OR.
• sort= — e.g. sort=cited_by_count:desc for the most-cited works first.
• per-page= and page= — paging; per-page is capped (check the docs for the current maximum).
• select= — return only the fields you need, which keeps responses small.

You can also fetch a single work directly by its OpenAlex ID or DOI, e.g. https://api.openalex.org/works/https://doi.org/10.xxxx/xxxxx.

Practical tips

• Filter first, then sort. A filtered query on publication_year or open_access.is_oa is far more useful than a broad search alone.
• Use select=id,display_name,publication_year,cited_by_count,doi when you only need a table of results.
• For large harvests, use cursor paging (cursor=* then follow next_cursor) rather than deep offset paging.
• Read the field definitions before trusting a number; counts and citation figures are updated on a schedule, not in real time.

A concrete workflow

Suppose you want recent open-access papers on a topic, ranked by citations:

1. Build the URL: https://api.openalex.org/works?filter=from_publication_date:2023-01-01,is_oa:true&search=your+topic&sort=cited_by_count:desc&per-page=50
2. Paste it into a browser or curl to inspect the JSON.
3. In code, loop over results, reading display_name, doi, publication_year and cited_by_count.
4. Follow meta.next_cursor if you need more pages.

The official documentation lives at OpenAlex Help and the machine-readable index of every docs page is at help.openalex.org/llms.txt. The main site is OpenAlex.

How does OpenAlex compare to other scholarly databases like Scopus or Web of Science?

OpenAlex is best understood as an open, API-first index of scholarly works, not a direct substitute for the curated analytics suites that Scopus and Web of Science provide. It gives you free access to a very large body of metadata — works, authors, institutions, sources and topics — and lets you search, analyze and reuse that data through a web app, an API and bulk downloads. Scopus and Web of Science, by contrast, are subscription products built around selective journal coverage, citation linking and established bibliometric indicators.

The practical differences matter most in three areas:

Access and cost model. OpenAlex is free and open, with no login required for the API or bulk data. Scopus and Web of Science are licensed products; access usually comes through a university or institutional subscription, and heavy text mining or bulk export may require separate arrangements.

Coverage philosophy. OpenAlex aims to be broad and inclusive, indexing many work types and sources beyond traditional journals. Scopus and Web of Science emphasize curated, selective coverage of journals and conference proceedings, which supports their use in formal research evaluation.

Metrics and workflows. Scopus and Web of Science offer mature citation analytics, journal-level indicators and integration with evaluation exercises. OpenAlex provides citation links and topic classification, but its metrics are generally better suited to exploration, mapping and reproducible analysis than to high-stakes assessment.

When to choose which

• Use OpenAlex when you need free, programmatic access, large-scale metadata analysis, or reproducible research on the research system itself.
• Use Scopus or Web of Science when you need curated journal coverage, established citation indicators, or results that align with institutional evaluation criteria.
• Use both when you want to cross-check coverage: a paper or journal may appear in one database but not another, and that difference is itself informative.

A concrete next step: if you are building a bibliometric study, prototype with the OpenAlex API or a bulk download to test your queries and coverage, then verify key findings against a subscription database you already have access to. For documentation, start at OpenAlex Help. You can also compare coverage policies directly with Scopus and Web of Science.

What data fields and metadata does OpenAlex provide for each work, author, or institution?

OpenAlex describes itself as a free and open catalog of the world's research, covering roughly half a billion scholarly works along with their authors, institutions, sources and topics. Its key strength is that the same underlying records are exposed through three routes: a web app, an API, and bulk downloads. That matters for your question because the fields available through the API and bulk data are the full record, not just what the web interface displays.

Because the site's own landing page does not enumerate individual field names, the safest way to see the exact schema is to consult its documentation rather than rely on a summary. OpenAlex points to help.openalex.org for API guidance and notes that help.openalex.org/llms.txt lists every documentation page — a useful index if you want to scan the full field list quickly.

What each entity type generally carries

Works — the core record for a paper, book chapter, dataset or similar output. Expect descriptive metadata (title, publication date, type), identifiers (including a DOI where one exists), the source it appeared in, the authors and their institutional affiliations, topic and concept classifications, and citation-related information such as references and citing works. Open-access status and links to locations are also part of the work record.

Authors — a person-level record aggregating their outputs, with name variants, associated institutions over time, and summary indicators derived from their publication and citation history.

Institutions — an organisation-level record with its name and variants, location and country, associated works and authors, and similar aggregate citation measures.

Sources — the venue or repository (journal, conference, repository), with publisher, ISSN-type identifiers, and open-access characteristics.

Topics and concepts — hierarchical subject classifications that let you group works by field rather than by keyword alone.

Practical next step

Pick one known paper, one author and one university you already understand well, then pull each through the API and inspect the returned JSON. That single exercise will show you which fields are populated, which are sparse, and how the entities link to one another — far more reliably than any field list read in the abstract.

If you are deciding between tools, the relevant trade-off is breadth versus curation: OpenAlex aims for comprehensive coverage and open reuse, so some fields will be incomplete or inferred, whereas a narrower, manually curated index may be cleaner on the records it does hold.

Can I download the entire OpenAlex dataset for bulk analysis or offline use?

Yes. OpenAlex is built to be taken in bulk, not just browsed. The site itself states that it is a free and open catalog of the world's research, and that you can get the data without a browser by using the OpenAlex API. For full offline or large-scale work, the practical route is the bulk data rather than paging through the web app or hammering the API record by record.

H3 What "bulk" gives you The catalog covers scholarly works along with their authors, institutions, sources and topics. A bulk snapshot is the right tool when your analysis needs the whole graph at once: co-authorship networks, institution-level output trends, topic mapping, deduplication experiments, or training and evaluating models over metadata. If you only need a few thousand records filtered by a query, the API is usually simpler and more current.

H3 Choosing between bulk download and API

H3 Practical next step Start at OpenAlex and follow its documentation for the bulk option before writing any download code. The site points to help.openalex.org for how to use the API, and notes that help.openalex.org/llms.txt lists every docs page — a fast way to find the current bulk-download and API instructions in one place.

Two things to plan for: snapshot size means you need real disk space and a loading strategy (streaming or a database rather than loading everything into memory), and a snapshot is a point-in-time copy, so decide whether you need to refresh it and how you will version successive snapshots. If your question is "can I get it all?" the answer is yes; the real decision is snapshot versus API for your specific analysis.

How can I find research on a specific topic or track citations using OpenAlex?

OpenAlex is a free catalog of scholarly works, authors, institutions, sources and topics, searchable through its web app and accessible programmatically via its API and bulk downloads. For your two goals, the web app handles quick lookups; the API is better for anything repeatable or at scale.

Finding research on a topic

• Web app: Enter topic keywords in the search box. Results are scholarly works; use the filters (publication year, open access, work type, author, institution, source) to narrow down. The page states that OpenAlex needs JavaScript enabled in your browser for the web app to run.
• API: Query the works endpoint with a search parameter, then add filters for year, open-access status, or topic. This suits saved queries, dashboards and scripts.
• Bulk download: If you need the whole corpus rather than a query result, OpenAlex offers bulk data — useful for text mining or large-scale bibliometrics.

Tracking citations

• Cited-by: Open a work's record to see the works that cite it. This is the fastest way to follow a paper's impact forward in time.
• References: The same record shows what that work cites, so you can walk backward to its foundations.
• API: Citation relationships are exposed as fields on work records, so you can pull citing works and filter them by year, author or institution — practical for tracking a research line rather than a single paper.
• Author and institution views: Following an author or institution page helps you see their output and citation patterns without checking papers one by one.

Choosing between the web app and the API

Practical example

Suppose you are a graduate student reviewing "urban heat islands." Search that phrase in the web app, filter to the last five years and open-access works, then sort or filter by citation count to find influential papers. Open the most-cited one and use its cited-by list to see newer work building on it. Then use the API to export the same query as structured records for a literature matrix in a spreadsheet.

Decision criteria

• If you only need a handful of papers and their citations, stay in the web app.
• If you will rerun the search monthly, or need the results in your own database, use the API.
• If you need the entire corpus, use bulk download rather than paginating through the API.

For API specifics, the site points to its help pages: OpenAlex Help — and the main catalog is at OpenAlex.