Data for "Updated science-wide author databases of standardized citation indicators" is a dataset (2020). On theSindex it has a DataRank of 0.779, placing it in the top 44.2% of the data-sharing corpus. It has been cited 10 times, with 8 citing works in its 1-hop citation network. Its calibrated FAIR score is 32/100.
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, co-authorship 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 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least 5 papers. Career-long data are updated to end-of-2019. \n\nThe dataset and code provides an update to previously released (version 1) data under https://doi.org/10.17632/btchxktzyw.1; The version 2 dataset is based on the May 06, 2020 snapshot from Scopus and is updated to citation year 2019. In addition to the time period and datacut update, it provides a longer list of authors: it also includes the top 2% for every subfield.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0.419
From 5 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 46% comes from its base citations and 54% from the citation network (5 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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