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  <doc>
    <id>9826</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>46</pageFirst>
    <pageLast>52</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-08-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Integrating Large Citation Datasets</title>
    <abstract language="eng">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.</abstract>
    <parentTitle language="eng">Operations Research Proceedings 2024. OR 2024</parentTitle>
    <identifier type="doi">10.1007/978-3-031-92575-7_7</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">2024-10-22</enrichment>
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    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-98033</enrichment>
    <enrichment key="Series">Lecture Notes in Operations Research</enrichment>
    <author>Inci Yueksel Erguen</author>
    <submitter>Inci Yueksel Erguen</submitter>
    <author>Ida Litzel</author>
    <author>Hanqiu Peng</author>
    <collection role="institutes" number="sis">Digital Data and Information for Society, Science, and Culture</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="yueksel-erguen">Yüksel-Ergün, Inci</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="projects" number="MODAL-EnergyLab">MODAL-EnergyLab</collection>
    <collection role="projects" number="FAN">FAN</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
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