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Authors: Eric Garcia-Cano ; Eugenio López-Ortega and Luis Alvarez-Icaza

Affiliation: Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México and Mexico

Keyword(s): Automated Bibliometric Analysis, Strategic Planning, Scientific Research Productivity Metric, Google Scholar.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Business Analytics ; Business Intelligence ; Data Analytics ; Data Engineering ; Data Management and Quality ; Information Retrieval ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering ; Statistics Exploratory Data Analysis ; Symbolic Systems ; Text Analytics

Abstract: This paper presents a project aimed at evaluating the scientific productivity and impact of a Mexican research and technological development center. The proposed evaluation is based on an automated bibliometric analysis system that exploits Google Scholar (GS) information. The import process of the evaluation is shown, including different aspects such as information request times, data verification through a parallel query in Crossref and homogenization of publication sources. As a result, 8,492 documents by 137 researchers associated with the research center were identified. These documents have received 74,683 citations. GS includes a great variety of published materials, such as journal papers, books, conference proceedings, white papers, and technical reports. This diversity of documents allows for a broader evaluation that takes into consideration other types of research products that are not usually considered for assessing scientific productivity. From our work, we conclude th at the information in GS can be used to conduct a formal analysis of the productivity and impact of a research center. (More)

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Paper citation in several formats:
Garcia-Cano, E.; López-Ortega, E. and Alvarez-Icaza, L. (2019). Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information. In Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-377-3; ISSN 2184-285X, SciTePress, pages 160-167. DOI: 10.5220/0007842601600167

@conference{data19,
author={Eric Garcia{-}Cano. and Eugenio López{-}Ortega. and Luis Alvarez{-}Icaza.},
title={Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA},
year={2019},
pages={160-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007842601600167},
isbn={978-989-758-377-3},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA
TI - Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information
SN - 978-989-758-377-3
IS - 2184-285X
AU - Garcia-Cano, E.
AU - López-Ortega, E.
AU - Alvarez-Icaza, L.
PY - 2019
SP - 160
EP - 167
DO - 10.5220/0007842601600167
PB - SciTePress