Web of Science Research Assistant: functional analysis and usage recommendations
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- dc.contributor.author Lopezosa, Carlos
- dc.contributor.author Aguilera Cora, Elisenda
- dc.contributor.author Codina, Lluís
- dc.contributor.author Boté-Vericad, Juan José
- dc.date.accessioned 2025-10-10T06:19:30Z
- dc.date.available 2025-10-10T06:19:30Z
- dc.date.issued 2025
- dc.description.abstract This chapter provides a comprehensive functional analysis of the Web of Science Research Assistant, a generative AI tool integrated into Clarivate’s academic database. Designed to enhance research workflows, the tool supports tasks such as literature reviews, topic exploration, expert identification, and journal selection. Through a detailed examination of its interface and functionalities, including thematic summarization, co-citation mapping, and trend visualization, this chapter highlights the tool’s potential to streamline scientific discovery. Several practical use cases are presented, demonstrating its capabilities in optimizing searches, identifying seminal papers, and suggesting relevant publication venues. Despite its innovative features, the tool’s use must be guided by critical thinking, transparency, and ethical considerations. Researchers are encouraged to view the assistant not as a substitute, but as a complement to scholarly inquiry. The chapter concludes by emphasizing the value of reflective, layered interaction with AI to responsibly integrate these technologies into academic practice.
- dc.description.sponsorship This work is part of the Project “Parameters and strategies to increase the relevance of media and digital communication in society: curation, visualisation and visibility (CUVICOM)”. Grant PID2021-123579OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by ERDF, EU.
- dc.format.mimetype application/pdf
- dc.identifier.citation Lopezosa C, Aguilera-Cora E, Codina L, Boté-Vericad JJ. Web of Science Research Assistant: functional analysis and usage recommendations. In: Guallar J, Vállez M, Ventura-Cisquella A, coordinators. Digital communication: trends and good practices. Barcelona: Ediciones Profesionales de la Información; 2025. p. 174-89. DOI: 10.3145/cuvicom.13.eng
- dc.identifier.uri http://hdl.handle.net/10230/71467
- dc.language.iso eng
- dc.publisher Ediciones Profesionales de la Información
- dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2021-123579OB-I00
- dc.rights Work distributed under a licenseCC BY-NC-SA 4.0
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
- dc.subject.keyword Generative artificial intelligence
- dc.subject.keyword Academic search tools
- dc.subject.keyword Web of Science
- dc.subject.keyword Web of Science ResearchAssistant
- dc.subject.keyword Literature review automation
- dc.subject.keyword Research ethics and transparency
- dc.title Web of Science Research Assistant: functional analysis and usage recommendations
- dc.type info:eu-repo/semantics/bookPart
- dc.type.version info:eu-repo/semantics/publishedVersion