Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count

Tetsuya Nakatoh, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    During a research survey, it is very important to quickly find suitable papers. It is common practice for researchers to select relevant papers by searching using query keywords, ranking those papers by citation number, and checking in order from the highest ranked papers. However, if a paper that had a query keyword as a non-primary word had many citations, it would hinder any attempt to quickly find the appropriate paper. We have already proposed a Focused Citation Count (FCC) that supports the finding of suitable papers by setting the number of citations as a more appropriate evaluation index by properly focusing on cited papers which are the sources of citation counts. In this study, we propose an improved method of FCC. Since FCC is easily affected by the size of the cited number, this proposal aims to reduce its characteristics. We evaluate the proposed method using actual paper data and try to confirm its effectiveness.

    Original languageEnglish
    Title of host publicationHuman Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
    EditorsSakae Yamamoto, Hirohiko Mori
    PublisherSpringer Verlag
    Pages555-566
    Number of pages12
    ISBN (Print)9783030226596
    DOIs
    Publication statusPublished - Jan 1 2019
    EventThematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
    Duration: Jul 26 2019Jul 31 2019

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11569 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceThematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
    CountryUnited States
    CityOrlando
    Period7/26/197/31/19

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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