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Cesar A. Hidalgo. Almalki, Almaha Adnan Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) 2018-11-15T16:35:35Z 2018-11-15T16:35:35Z 2018 2018 http://hdl.handle.net/1721.1/119077 1057896241 Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 9-11). Scientific managers need to understand the impact of the research they support since they are required to evaluate researchers and their work for funding and promotional purposes. Yet, most of the online tools available to explore publication data, such as Google Scholar (GS), Microsoft Academic Search (MAS), and Scopus, present tabular views of publication data that fail to put scholars in a social, institutional, and geographic context. Moreover, these tools fail to provide aggregate views of the data for countries, organizations, and journals. Here, we introduce Opus, an interactive online platform that integrates, aggregates, and visualizes publication data from GS to present users with publication data at four different scales (e.g., scholars, countries, organizations, and journals). At each scale, Opus provides benchmarked visualizations that facilitate understanding the work of scholars in a social, generational, geographic, and institutional context. We conducted two user studies with a small group of potential users that show supporting evidence for the benefits of our approach. This design study contributes to the relatively unexplored but promising area of using information visualization to explore publication data. by Almaha Adnan Almalki. S.M. 11 pages eng Massachusetts Institute of Technology MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 Program in Media Arts and Sciences () Opus : exploring publication data through visualizations Exploring publication data through visualizations Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="482e7a29-a38b-4d1e-a1d1-37e719f66fd8"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Opus : exploring publication data through visualizations</Title> <Subtitle>Exploring publication data through visualizations</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2018</PublicationDate> <Authors> <Author> <DisplayName>Almalki, Almaha Adnan</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Program in Media Arts and Sciences ()</Keyword> <Abstract>Scientific managers need to understand the impact of the research they support since they are required to evaluate researchers and their work for funding and promotional purposes. Yet, most of the online tools available to explore publication data, such as Google Scholar (GS), Microsoft Academic Search (MAS), and Scopus, present tabular views of publication data that fail to put scholars in a social, institutional, and geographic context. Moreover, these tools fail to provide aggregate views of the data for countries, organizations, and journals. Here, we introduce Opus, an interactive online platform that integrates, aggregates, and visualizes publication data from GS to present users with publication data at four different scales (e.g., scholars, countries, organizations, and journals). At each scale, Opus provides benchmarked visualizations that facilitate understanding the work of scholars in a social, generational, geographic, and institutional context. We conducted two user studies with a small group of potential users that show supporting evidence for the benefits of our approach. This design study contributes to the relatively unexplored but promising area of using information visualization to explore publication data.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>