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Utilizing Google Scholar as a Bibliographic Resource for Publications SearchThis study focuses on the automated search for publication citations for the Earth Observing System Data and Information System (EOSDIS) datasets. The research investigates the feasibility of using automated search methods to gather published works from various bibliometric databases. A comparison is presented, highlighting the differences in citation counts obtained from Google Scholar compared to established bibliographic databases. The study also introduces a methodology and an open-source tool for getting publication citations from Google Scholar, utilizing dataset DOIs and keyword searches. The findings contribute to understanding the reliability and effectiveness of Google Scholar as a source for dataset citation retrieval and provide researchers with a valuable resource for obtaining comprehensive citation data.
Document ID
20230010457
Acquisition Source
Goddard Space Flight Center
Document Type
Poster
Authors
Irina Gerasimov
(Adnet Systems (United States) Bethesda, Maryland, United States)
Jerome Alfred
(Adnet Systems (United States) Bethesda, Maryland, United States)
Andrey Savtchenko
(Adnet Systems (United States) Bethesda, Maryland, United States)
James Acker
(Adnet Systems (United States) Bethesda, Maryland, United States)
Binita KC
(Adnet Systems (United States) Bethesda, Maryland, United States)
Long Pham
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Jennifer Wei
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
July 17, 2023
Subject Category
Documentation and Information Science
Meeting Information
Meeting: Earth Science Information Partners (ESIP) Meeting
Location: Burlington, VT
Country: US
Start Date: July 18, 2023
End Date: July 21, 2023
Sponsors: Amazon (United States)
Funding Number(s)
WBS: 656052.04.01.08.04
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Infometrics
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