{"id":10453,"date":"2024-11-11T12:00:03","date_gmt":"2024-11-11T12:00:03","guid":{"rendered":"https:\/\/researcher.life\/blog\/?p=10453"},"modified":"2024-11-14T12:00:43","modified_gmt":"2024-11-14T12:00:43","slug":"how-to-calculate-h-index-in-google-scholar","status":"publish","type":"post","link":"https:\/\/researcher.life\/blog\/article\/how-to-calculate-h-index-in-google-scholar\/","title":{"rendered":"How to Calculate H-Index in Google Scholar?"},"content":{"rendered":"

\"h-index<\/p>\n

Among the many bibliometric indices used to measure the scholarly impact of a researcher’s published work, the h-index is the most recognized and widely used method. Introduced by Jorge E. Hirsch, a Professor of Physics at the University of California, in 2005, the\u202fHirsch Index or the h-index, as it has come to be popularly known, is calculated by assessing the number of published papers attributed to a researcher and the number of citations those papers have received.\u202fIn other words, a researcher has an h-index of\u202fh\u202fif\u202fh\u202fof their published papers have been cited at least\u202fh\u202ftimes each.\u00a0<\/span><\/p>\n

While most leading academic databases such as Web of Science, Scopus, and Google Scholar automatically calculate\u202fthe h-index for researchers, the calculation methods differ as each database covers different journals and years of indexation. So, a researcher may find that they have different h-index values across various databases. In this article, we will take a look at why the h-index is useful, how to calculate the h-index on Google Scholar, and how to verify the metric.\u00a0<\/span><\/p>\n

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