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

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Citations
Count
Evaluation
Query
Ranking
Evaluate

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Nakatoh, T., & Hirokawa, S. (2019). Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count. In S. Yamamoto, & H. Mori (Eds.), Human 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 (pp. 555-566). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11569 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22660-2_41

Evaluation Index to Find Relevant Papers : Improvement of Focused Citation Count. / Nakatoh, Tetsuya; Hirokawa, Sachio.

Human 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. ed. / Sakae Yamamoto; Hirohiko Mori. Springer Verlag, 2019. p. 555-566 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11569 LNCS).

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

Nakatoh, T & Hirokawa, S 2019, Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count. in S Yamamoto & H Mori (eds), Human 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11569 LNCS, Springer Verlag, pp. 555-566, Thematic 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, 7/26/19. https://doi.org/10.1007/978-3-030-22660-2_41
Nakatoh T, Hirokawa S. Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count. In Yamamoto S, Mori H, editors, Human 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. Springer Verlag. 2019. p. 555-566. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-22660-2_41
Nakatoh, Tetsuya ; Hirokawa, Sachio. / Evaluation Index to Find Relevant Papers : Improvement of Focused Citation Count. Human 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. editor / Sakae Yamamoto ; Hirohiko Mori. Springer Verlag, 2019. pp. 555-566 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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