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Cited by 316

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis

Open access
Mejia, Cristian, Wu, Mengjia, Zhang, Yi, Kajikawa, Yuya·2021·Frontiers in Research Metrics and Analytics

Abstract

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.

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Registry

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Cites

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Metadata

Authors
Mejia, C., Wu, M., Zhang, Y., & Kajikawa, Y.
Venue
Frontiers in Research Metrics and Analytics
Published
2021-09-24
Volume
6
Pages
742311-742311
ISSN
2504-0537 (ISSN-L)
OpenAlex
W3204279168
Cited by
316
References
108
FWCI
22.89
Type
journal article
Language
en
Open access
gold

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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This page
CoChat. (2026). Citation check: Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis. https://app.cochat.ai/papers/10.3389/frma.2021.742311
The paper
Mejia, C., Wu, M., Zhang, Y., & Kajikawa, Y. (2021). Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis. Frontiers in Research Metrics and Analytics. https://doi.org/10.3389/frma.2021.742311

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.