Integrating Large Citation Datasets

Inci Yueksel-Erguen (), Ida Litzel () and Hanqiu Peng ()
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Inci Yueksel-Erguen: Zuse Institute Berlin
Ida Litzel: Zuse Institute Berlin
Hanqiu Peng: National University of Singapore

A chapter in Operations Research Proceedings 2024, 2025, pp 46-52 from Springer

Abstract: Abstract This paper explores methods for building a comprehensive citation graph using big data techniques to evaluate scientific impact more accurately. Traditional citation metrics have limitations, and this work investigates merging large citation datasets to create a more accurate picture. Challenges of big data, like inconsistent data formats and lack of unique identifiers, are addressed through deduplication efforts, resulting in a streamlined and reliable merged dataset with over 119 million records and 1.4 billion citations. We demonstrate that merging large citation datasets builds a more accurate citation graph facilitating a more robust evaluation of scientific impact.

Keywords: big data preprocessing; data analytics; citation graphs (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-92575-7_7

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DOI: 10.1007/978-3-031-92575-7_7

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