Integrating Large Citation Datasets

Inci Yueksel-Erguen; Ida Litzel; Hanqiu Peng

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arXiv · 2505.04309

Integrating Large Citation Datasets

Inci Yueksel-Erguen·Ida Litzel·Hanqiu Peng

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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.

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Inci Yueksel-Erguen, Ida Litzel, Hanqiu Peng. 2025-05-07. Integrating Large Citation Datasets. https://arxiv.org/abs/2505.04309

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