Bibliometrics: Understanding Author-, Article- and Journal-Level Metrics

Abstract

Numerous types of metrics are available to assist in the evaluation of scholarship. The focus for this column of In Lay Terms is bibliometrics, the quantitative analysis of publication data using article-, author-, and journal-level data. Citation analysis is the most commonly used bibliometric method. It includes analyzing the number of articles published by an author, the number of citations from those articles, and the ranking of the journals in which those articles were published. This column compares bibliometrics found in Web of Science, Scopus, and Google Scholar and considers the relationship of these metrics to the field of library and information science.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 42 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.