Bibliometrics of the 100 most-cited articles on refugee populations



Khosa, Musatafa, Waqas, Ahmed ORCID: 0000-0002-3772-194X, Javaid, Mahnoor, Singh, Jessica, Naveed, Sadiq ORCID: 0000-0002-6084-7081, Majeed, Salman and Khosa, Faisal
(2018) Bibliometrics of the 100 most-cited articles on refugee populations. F1000Research, 7. p. 878.

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Abstract

<h4>Background: </h4> Bibliometrics is a form of quantitative analysis that employs peer-reviewed research, journal articles and citation counts to examine the content of current literature on a particular topic. The authors aim to identify the major academic disciplines that dominate the landscape of published materials and research endeavors on the topic of refugees.  <h4>Methods: </h4>: Using the Web of Science, a database of most-cited articles was created by a team with expertise in bibliometrics. <h4>Results: </h4>: Citations ranged between 1,493 and 105; averaging 203 citations per article. The publications spanned the years from 1973 to 2010. The year 2004 had the highest number of publications. All articles were published by 45 journals. In total, 294 investigators authored these articles. Psychiatry, psychology and public health constituted the top three fields of affiliation, with the most investigated feature being the mental health of refugees. Single investigators authored a quarter of all articles. <h4>Conclusion: </h4> This bibliometric evaluation allowed a multi-dimensional outlook on the conditions of refugee populations across the globe, through collation of relevant peer-reviewed research journal articles. This specialized form of assessment has resulted in a multi-disciplinary compendium of publications on the subject.

Item Type: Article
Uncontrolled Keywords: 3 Good Health and Well Being
Depositing User: Symplectic Admin
Date Deposited: 04 Apr 2019 13:54
Last Modified: 15 Mar 2024 15:48
DOI: 10.12688/f1000research.15106.1
Open Access URL: https://doi.org/10.12688/f1000research.15106.1
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3035825