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Publishing Guide

Google Scholar Metrics

Google Scholar Metrics provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications. Scholar Metrics summarize recent citations to many publications, to help authors as they consider where to publish their new research.

To get started, you can browse the top 100 publications in several languages, ordered by their five-year h-index and h-median metrics. To see which articles in a publication were cited the most and who cited them, click on its h-index number to view the articles as well as the citations underlying the metrics.

You can also explore publications in research areas of your interest. To browse publications in a broad area of research, select one of the areas in the left column. For example: Engineering & Computer Science or Health & Medical Sciences.

To explore specific research areas, select one of the broad areas, click on the "Subcategories" link and then select one of the options. For example: Databases & Information Systems or Development Economics.

Browsing by research area is is currently only available for English publications. Researchers can, of course, search for specific publications in all languages by specifying words in their titles.

Google Scholar Metrics are currently based on the index produced in June 2022.

 

Source: Google Scholar -  https://scholar.google.com/intl/en/scholar/metrics.html

Google Scholars h index

The h-index numerically evaluates a publication based on the largest number of times a single article within that title is cited as long as that number -h- does not exceed the total number of articles within a given issue. For example, a publication with five articles cited by 17, 9, 6, 3, and 2 other articles respectively, would be awarded an h-index of 3.

The h-core of a publication is a set of top cited -h- articles from the publication. These are the articles that form the basis of the h-index. For example, the publication above has an h-core with three articles, those cited by 17, 9, and 6.

The h-median of a publication is the median of the citation counts in its h-core. For example, the h-median of the publication above is 9. The h-median is a measure of the distribution of citations to the articles in the h-core.

Finally, the h5-indexh5-core, and h5-median of a publication are, respectively, the h-index, h-core, and h-median of only those of its articles that were published in the last five complete calendar years.

 

Source: Google Scholar - https://scholar.google.com/intl/en/scholar/metrics.html#metrics

Coverage of Publications

Scholar Metrics currently cover articles published between 2017 and 2021, both inclusive. The metrics are based on citations from all articles that were indexed in Google Scholar in June 2022. This article set also includes citations from articles that are not themselves covered by Scholar Metrics.

Since Google Scholar indexes articles from a large number of websites, they cannot always tell in which journal a particular article has been published. To avoid misidentification of publications, Google Scholar has included only the following items:

  • journal articles from websites that follow their stated inclusion guidelines;
  • selected conference articles in Engineering and Computer Science.

Furthermore, Google Scholar has specifically excluded the following items:

  • court opinions, patents, books, and dissertations;
  • publications with fewer than 100 articles published between 2017 and 2021;
  • publications that received no citations to articles published between 2017 and 2021.

Overall, Scholar Metrics cover a substantial fraction of scholarly articles published in the last five years. However, Scholar Metrics currently, do not cover a large number of articles appearing in smaller publications.

 

Source: Google Scholar - https://scholar.google.com/intl/en/scholar/metrics.html#coverage