Journal of Informetrics
Abbreviation | J. Informetr. |
Journal Impact | 3.37 |
Quartiles(Global) | INFORMATION SCIENCE & LIBRARY SCIENCE(Q1) |
ISSN | 1751-1577, 1875-5879 |
h-index | 90 |
The Journal of Informetrics (JOI) publishes high-quality research on quantitative aspects of information science. The journal primarily focuses on topics such as bibliometrics, scientometrics, webometrics, patent metrics, altmetrics, and research evaluation. We particularly encourage the use of methods from other quantitative fields to study informetric issues, such as mathematics, statistics, computer science, economics, econometrics, and network science. JOI publishes both theoretical and empirical work. Generally, case studies, such as bibliometric analyses focused on specific research areas or countries, are not considered suitable for publication in JOI unless they contain innovative methodological elements.
HomepageSubmission URLPublication Information | Publisher: Elsevier B.V.,Publishing cycle: ,Journal Type: journal,Open Access Journals: No |
Basic data | Year of publication: 2007,Proportion of original research papers: 98.95%,Self Citation Rate:20.60%, Gold OA Rate: 17.27% |
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China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978–2013)
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Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration
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Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network
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Exploring perception of retraction based on mentioned status in post-retraction citations
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A comprehensive comparative analysis of publication monopoly phenomenon in scientific journals
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Leveraging patent classification based on deep learning: The case study on smart cities and industrial Internet of Things
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Linkages among science, technology, and industry on the basis of main path analysis
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Citation counts and inclusion of references in seven free-access scholarly databases: A comparative analysis
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