OpenAlex-seeded bibliometric corpus of workshop organizer publications¶

Element · All elements
Evidence · 1 claim (1 for) · 2 studies (2 associational), q2 · 0 of 2 report an effect size

Description¶

The study's dataset is built from publication records of 22 workshop organizers retrieved from the OpenAlex database, yielding a coauthorship corpus of "2,197 authors and over 4,000 publications." A topic-filtered subset of 724 papers supported bibliographic coupling, and semantic expansion via SPECTER embeddings and snowball sampling produced "a much larger corpus of over 1,200 publications" for identifying related work outside the workshop's social network.

Design Implications¶

Context¶

Requirements¶

• Access to the OpenAlex bibliographic database and SemanticScholar's SPECTER embeddings API

Constraints¶

• Only three out of six workshops were indexed by OpenAlex, so the corpus incompletely covers the workshop series

Target Learners¶

• education researchers
• bibliometric analysts

Target Learning Goals¶

• identifying the community structure, intellectual foundations, and related literature of an emerging research area

Affordances¶

• Three Perspective Bibliometric Mapping Emerging Subfields

Claims¶

• Coauthorship analysis of workshop organizers yields a 2,197-author network with six communities, 80% of nodes in the largest three, spanning diverse research lineages [+M]

Related Elements¶

Examples¶

• Research Map Visualization
• Use transformer-based topic modeling (BERTopic) to map thematic structure and evolution of an emerging research field

Key Sources¶

• Risha, Z. & Roschelle, J. (2026, July). A bibliographic analysis of digital learning platforms as research infrastructure. Digital Promise. https://doi.org/10.51388/20.500.12265/305