Results 211 to 220 of about 116,041 (242)
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2018
Bibliometric data of Babesia obtained from consulted bibliographical databases (Medline, Scopus, SCI-E, LILACS, Scielo and Google Scholar)
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Bibliometric data of Babesia obtained from consulted bibliographical databases (Medline, Scopus, SCI-E, LILACS, Scielo and Google Scholar)
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Introduction to Bibliometric Data Sources
Presentation for the European Summer School for Scientometrics (2025).openaire +1 more source
Data Mining in Nursing: A Bibliometric Analysis (1990–2017)
2019To explore the current trends and future directions of data mining in nursing, we systematically searched English and Chinese databases (from 1990 to 2017) with data mining and nursing related keywords. We found 407 papers, which increased rapidly in the recent five years. Data mining was the most widely used in clinical nursing (50.6%). Chinese papers
Qian, Xiao +3 more
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Journal Citation Reports 2023: Understanding Bibliometric Data
Dimensions of Critical Care Nursing, 2023openaire +2 more sources
How to conduct a bibliometric analysis: An overview and guidelines
Journal of Business Research, 2021Naveen Donthu +2 more
exaly
Guidelines for advancing theory and practice through bibliometric research
Journal of Business Research, 2022Debmalya Mukherjee +2 more
exaly
A bibliometric review of finance bibliometric papers
Finance Research Letters, 2022Ashraf Khan +2 more
exaly
Data Mining in Banks: A Bibliometric Analysis
Overview: Banking is the core influencing unit of the economy and over the years, the banking system has evolved from digitalization to the management information system, enabling complex blockchain technology and fintech to take the lead. Data mining is a process within the management information system that enables the banks in decision-making.Kavya Shabu, R. Vasanthagopal
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Bibliometric analysis of bibliometric studies in the field of tourism and hospitality
Journal of Hospitality and Tourism Insights, 2023Pembe Ülker +2 more
exaly
On the problems of dealing with bibliometric data
Journal of the Association for Information Science and Technology, 2013Marx, W., Bornmann, L.
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