Google Scholar Profile Citation Data

Published: 25 April 2025| Version 1 | DOI: 10.17632/x29bc9xssz.1
Contributors:
, Amir Hossein Moosavi, Mohammadmahdi Khalaj, Mohammad Norouzi, Amirhossein Bayati

Description

This dataset contains 11,375 random samples of international researchers, extracted from their Google Scholar Profiles (GSPs) in 2022. The gathered data spans 41 countries ensuring diversity. Unlike existing datasets, it includes 16 suggested features derived from some raw metrics such as h-index, i10-index, etc. that includes a CSV file. It is designed for regression tasks to predict citation counts (but not limited to). It addresses limitations of default metrics by capturing novel features.

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Institutions

  • Imam Khomeini International University Faculty of Engineering and Technology

Categories

Regression Analysis, Scientific Databases, Bibliometrics, Scientometrics, Applied Machine Learning

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