Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information

Eric Garcia-Cano, Eugenio López-Ortega, Luis Alvarez-Icaza

2019

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 that the information in GS can be used to conduct a formal analysis of the productivity and impact of a research center.

Paper Citation

in Harvard Style

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 - Volume 1: DATA, ISBN 978-989-758-377-3, pages 160-167. DOI: 10.5220/0007842601600167

in Bibtex Style

@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 - Volume 1: DATA,},
year={2019},
pages={160-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007842601600167},
isbn={978-989-758-377-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information
SN - 978-989-758-377-3
AU - Garcia-Cano E.
AU - López-Ortega E.
AU - Alvarez-Icaza L.
PY - 2019
SP - 160
EP - 167
DO - 10.5220/0007842601600167