Bibliometric Counts

Frequency counts of any entity (authors, sources, keywords, countries, n-grams…).

Overview

Counts how often each entity occurs in the corpus — authors, sources, author or index keywords, countries, affiliations, document types, or title/abstract n-grams — and returns a ranked table (frequency, share, rank). Selecting rows in the preview sends the matching documents onward, so it doubles as an entity-based document selector.

Inputs

Data (Table) — bibliographic data.

Outputs

Counts (Table) — entity, frequency, share and rank.
Selected Documents (Table) — documents containing the entities you select in the preview.

Controls

Entity Type — what to count (Authors, Sources, Author/Index Keywords, Countries, Affiliations, Document Type, Title/Abstract n-grams…).
Column — the source column (auto-chosen from the entity type, override if needed).
Separator — the list separator for multi-valued cells (auto-detected; ;, |, …).
Count as — single value, delimited list, or free-text tokens.
Top N — keep only the N most frequent entities.
Min Count — drop entities occurring fewer than this many times.
Min n-gram / Max n-gram — n-gram length range (for the text n-gram modes).

Actions: Count Entities, Select All / Clear Selection (preview rows → Selected Documents).

Tips

Counts here feed naturally into Bibliometric Statistics (add citations/h-index) and the network widgets.