Top Neurology and Neurosurgery Scholars Worldwide, 2017-2023
by figshare admin karger·Updated 2mo ago
177.7 KB1files
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Description
142,457 records of Excellent Neurologic Scholars were extracted from seven annual Stanford–Elsevier Lists. The data reveals that high-income, Anglophone countries account for over 95% of scholars, with the United States contributing nearly half. This supplementary material, authored by figshare admin karger and updated in April 2026, supports an analysis of the determinants of research excellence.
Use Cases
Analyze geographic concentration of high-impact research based on country-level scholar counts.
Investigate institutional elitism based on the share of scholars hosted by top-ranked universities.
Study gender disparities in neurology research based on the proportion of female scholars and their bibliometric indicators.
Model predictors of academic excellence based on variables like academic age, language, and national income level.
Strengths
Contains 142,457 scholar records spanning seven annual releases from 2017 to 2023.
Includes multiple bibliometric outcome measures: composite score, modified H-index, and citation counts.
Provides specific demographic statistics, such as 18.3% female scholars in the career-long list.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count for the underlying data files is unknown, which may limit suitability assessment.
The 177.7 KB file size suggests a limited scope, likely containing summary or supplementary data rather than the full raw dataset.
Provenance
Source
Stanford–Elsevier Lists (SEL) of the top 2% scholars worldwide.
Collection Method
Records of Excellent Neurologic Scholars (ENS) were extracted from career-long and single-year SEL datasets.
Time Range
2017–2023
Freshness
Last updated 2026-04-11 07:55:08; freshness should be verified.
Geography
Global, with a noted concentration in high-income, English-speaking countries.
Primary data format is DOCX; users may need to extract tabular data from the document.