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A standardized citation metrics author database annotated for scientific field.

John P A IoannidisJeroen BaasRichard KlavansKevin W Boyack
Published in: PLoS biology (2019)
Citation metrics are widely used and misused. We have created a publicly available database of 100,000 top scientists that provides standardized information on citations, h-index, coauthorship-adjusted hm-index, citations to papers in different authorship positions, and a composite indicator. Separate data are shown for career-long and single-year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 176 subfields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least five papers. Career-long data are updated to end of 2017 and to end of 2018 for comparison.
Keyphrases
  • electronic health record
  • big data
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  • healthcare
  • machine learning
  • randomized controlled trial
  • systematic review
  • deep learning