Migration Dynamics: A Systematic Bibliometric Review from 2013 to 2025

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Migration Dynamics: A Systematic Bibliometric Review from 2013 to 2025 | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Systematic Review Migration Dynamics: A Systematic Bibliometric Review from 2013 to 2025 Madhu Kumari, Hemlata Manglani This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9058718/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study aims to explore the research landscape regarding bibliometric analysis, with a focus on migration patterns and trends between 2013 and 2025. The study used VOS viewer, MS Excel, and Biblioshiny (R Studio) to examine data gathered from the Web of Science core collection database. A total of 2,545 articles based on titles were analysed and refined. Analysis of keywords, prolific authors, productive journals, active institutions and nations, and partnerships were among the several approaches used to find the multifaceted contribution to migration studies. The study also noted the leading publications, well-known writers and journals, active universities, research gaps, and countries helping in this field. The results show that high-income countries are more likely to consider migration research, illuminating new patterns of mobility. The results underlined important implications and gave scientists and stakeholders helpful information, thus supporting the subsequent investigations. Bibliometric analysis Biblioshiny Web of Science migration VOS viewer Migration patterns Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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