STANFORD UNIVERSITY NAMES WORLD’S TOP 2% SCIENTISTS, 2024

On 16 September 2024, Elsevier published the August 2024 data-update for “Updated science-wide author databases of standardized citation indicators”.

For the fifth consecutive year, Prof. Ashraf Nabhan, Professor of Obstetrics and Gynecology is named in the world’s top 2% of Scientists List.

Citation metrics are widely used and misused. Elsevier has created a publicly available database of top-cited 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 (c-score). Separate data are shown for career-long and, separately, for single recent 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 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2022 and single recent year data pertain to citations received during calendar year 2022. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2024 snapshot from Scopus, updated to end of citation year 2023. This work uses Scopus data provided by Elsevier through ICSR Lab (https://www.elsevier.com/icsr/icsrlab). Calculations were performed using all Scopus author profiles as of August 1, 2024. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work.

The ranking of scientists can be found in the following link (https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw).

Steps to reproduce

Code is provided with the dataset. It is written in python (pyspark) and can be used with other datasets on any pyspark platform. The current version includes the code for the selection and linking of RWDB entries. The full code can be found in previous versions of this dataset.

Institutions

Stanford University

Categories

Bibliometrics

Reference

Ioannidis, John P.A. (2024), “August 2024 data-update for “Updated science-wide author databases of standardized citation indicators””, Elsevier Data Repository, V7, doi: 10.17632/btchxktzyw.7

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