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Integrating Large Citation Datasets

Author

Listed:
  • Inci Yueksel-Erguen

    (Zuse Institute Berlin)

  • Ida Litzel

    (Zuse Institute Berlin)

  • Hanqiu Peng

    (National University of Singapore)

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.

Suggested Citation

  • Inci Yueksel-Erguen & Ida Litzel & Hanqiu Peng, 2025. "Integrating Large Citation Datasets," Lecture Notes in Operations Research,, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-92575-7_7
    DOI: 10.1007/978-3-031-92575-7_7
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