Artículo

Co-words network in Mexican Bibliometrics

Resumen

This work performs a co-words analysis using the keywords in the documents published on Bibliometrics, Informetrics, Sciencometrics, patent metrics, etc. in Mexico from the early 1970s until December 2012. The approach involves analysis of co-occurrence words, hierarchical clustering and the social network mapping of 681 keywords (KW) that found 1,914 occurrences in 459 papers. Results show the keywords with the highest occurrence are “Bibliometrics” (10.6%), “Mexico” (6.3%), “Scientific Production” (3.0%), “Latin America” (3.0%), “Impact Factor” (1.8%), “Bibliometric Indicators” (1.8%) and “Sciencometrics” (1.7%). The KW with the highest degree of centrality and intermediation was “Bibliometrics”. The KW with the highest degree of proximity was “Research Evaluation”. Five groups of keywords behaving as cliques in the network were also found.
Avelar, Sónia (57340492800); Tiago, Flávio (36461770200); Couto, João Pedro (23018098700); Borges-Tiago, Teresa (58973945500)
Human Resources Literature After Covid-19: A Human Versus AI Analysis
2024
10.1007/978-3-031-51038-0_31
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196802281&doi=10.1007%2f978-3-031-51038-0_31&partnerID=40&md5=a82350b77d56a04928c242ce3b637011
School of Business and Economics, University of the Azores, Ponta Delgada, 9500-801, Portugal
All Open Access; Hybrid Gold Open Access
Scopus
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