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Crossref (formerly styled CrossRef) is a nonprofit open digital infrastructure organization for the global scholarly research community. It is the largest digital object identifier (DOI) Registration Agency of the International DOI Foundation. It has 23,000 members from 164 countries representing publishers, libraries, research institutions, and funders…
The analysis highlights Measurement, Background and Metadata as prominent areas in the source structure around Crossref.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Crossref shows recurring relationship patterns in the source. For example, Crossref → According, ALPSP, Association, Award, Contribution, CrossCheck, CrossMark, Crossref Cited, Crossref's, CSE, FundRef, In September, Learned, Linking, May, Meritorious Achievement, Professional Society Publishers, Scholarly Publishing, Science Editors, The Council Another extracted example is Crossref → Crossref Cited-by, DOI, Elsevier, IDs, Most, Optional, ORCID, The, This, URL, URLs, When. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
metadata publishers scholarly research crossmark also doi linking content digital open members references status database service article information award link
TTTA extracted 77 structured relationships around Crossref. Examples in this analysis include Crossref → Chair → Lisa Schiff, California Digital Library and Crossref → Executive Director → Ed Pentz. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Crossref | Chair | Lisa Schiff, California Digital Library | 1.00 | infobox |
| Crossref | Executive Director | Ed Pentz | 1.00 | infobox |
| Crossref | Expenses | US$10.5 million (2024) | 1.00 | infobox |
| Crossref | Formation | 1999; 27 years ago (1999) | 1.00 | infobox |
| Crossref | Headquarters | Lynnfield, Massachusetts, U.S. | 1.00 | infobox |
| Crossref | Legal status | 501(c)(6) organization | 1.00 | infobox |
| Crossref | Revenue | US$13.3 million (2024) | 1.00 | infobox |
| Crossref | Website | www.crossref.org | 1.00 | infobox |
| plagiarism screening | instance of | Crossref provides additional services | 0.80 | text |
| searching by funding | instance of | Crossref provides additional services | 0.80 | text |
| and a button on article pages | instance of | Crossref provides additional services | 0.80 | text |
| PDFs to determine the status of an item | instance of | Crossref provides additional services | 0.80 | text |
The concept neighborhoods around Crossref bring nearby vocabulary together. In this analysis, examples include Scholarly, Metadata and Services. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Crossref, one of the stronger structural bridges in this analysis connects Crossref with Background. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Crossref to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Background & Metadata, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Crossref · EN edition · Analysis: TopicsToTalkAbout