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DataSheet1_Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis.CSV

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NIAID Data Ecosystem2026-03-12 收录
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https://figshare.com/articles/dataset/DataSheet1_Exploring_Topics_in_Bibliometric_Research_Through_Citation_Networks_and_Semantic_Analysis_CSV/16676119
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资源简介:
This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric research. We retrieved 20,268 articles related to bibliometrics and applied methodologies that exploit various features of the dataset to surface different topic representations. Across them, we observe major trends including discussions on theory, regional publication patterns, databases, and tools. There is a great increase in the application of bibliometrics as science mapping and decision-making tools in management, public health, sustainability, and medical fields. It is also observed that the term bibliometrics has reached an overall generality, while the terms scientometrics and informetrics may be more accurate in representing the core of bibliometric research as understood by the information and library science field. This article contributes by providing multiple snapshots of a field that has grown too quickly beyond the confines of library science.
创建时间:
2021-09-24
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