OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It started operating in January 2022 by OurResearch as a successor of the terminated Microsoft Academic Graph. OpenAlex competes with commercial products such as Clarivate's Web of Science or…
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OpenAlex topic overview
The analysis highlights History, Applications, Science and Products as prominent areas in the source structure around OpenAlex.
Related topics
29
Source areas
3
Connected nodes
32
Extracted relationships
104
Concept neighborhoods
16
Bridge connections
32
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 12 topics
Uses · 9 topics
History · 8 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Disciplines
Science, social science, arts, humanities (supports 256 disciplines)
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How OpenAlex connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around OpenAlex shows recurring relationship patterns in the source. For example, OpenAlex → An, Anne, Anton, April, Association, Ayeni, Benz, Bing, Boudreau Ninkov, Carolina, Constance, Culbert, Céspedes, Diego, Donner, Ebrahimy, Evaluating, Filali, Haupka, Hobert Another extracted example is OpenAlex → Alexandria, API, December, In December, In September, Its, January, Leiden University, Library, MAG, Microsoft Academic Graph, Netherlands, On, OurResearch, Scopus, Sorbonne University, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
OpenAlex → Alexandria, API, December, In December, In September, Its, January, Leiden University, Library, MAG, Microsoft Academic Graph, Netherlands, On, OurResearch, Scopus, Sorbonne University, The
related to Uses· 13
OpenAlex → API, Aurora's, Crossref, Diamond, Diamond OA, DOAJ, In, It, ORCID, Scopus, United Nations, Unpaywall, WoS
related to SemOpenAlex· 9
OpenAlex → CC0, International Semantic Web Conference, It, Linked Open Data, RDF, SemOpenAlex, SPARQL, The, URIs
Disciplines· 1
OpenAlex → Science, social science, arts, humanities (supports 256 disciplines)
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 104 structured relationships around OpenAlex. Examples in this analysis include OpenAlex → Disciplines → Science, social science, arts, humanities (supports 256 disciplines) and OpenAlex → Format coverage → Articles, reviews, editorials, chronologies, abstracts, proceedings (journals and book-based), technical papers. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
OpenAlex
Disciplines
Science, social science, arts, humanities (supports 256 disciplines)
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around OpenAlex bring nearby vocabulary together. In this analysis, examples include Scopus, Open and Access. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
OpenAlex
Scopus
Open
Access
Including
Journals
Web
Works
Metadata
Research
Science
Announced
Authors
openalex
Scopus
Open
Access
Including
Journals
Web
Works
Metadata
Research
Science
Announced
Authors
open access
Access
Open
Named
Catalogue
Bibliographic
Data
Openalex
Alexandria
Library
Papers
Research
Authors
diamond open access
Access
Open
Named
Catalogue
Bibliographic
Data
Openalex
Alexandria
Library
Papers
Research
Authors
bibliographic database
Catalogue
Alexandria
Library
Named
Ourresearch
Access
History
Microsoft
Papers
Open
Graph
Authors
linked open data
Access
Rdf
Named
Data
Open
Openalex
Research
Scholarly
Works
Alexandria
Commercial
Library
bibliographic catalogue
Catalogue
Alexandria
Library
Named
Access
History
Open
Papers
Authors
Database
Institutions
Ourresearch
web of science
Web
Scopus
Works
Coverage
Research
Free
History
Including
Journals
Papers
Rdf
Database
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For OpenAlex, one of the stronger structural bridges in this analysis connects OpenAlex with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
OpenAlex
Nodes33
Edges32
Triples104
Avg. degree1.94
Density0.060606
Components1
Source & methodology
TTTA analyzes the structure around OpenAlex to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
