Analyze data from scholarly articles on Google Scholar for two colleges within Sebha University using an exploratory data analysis approach

Main Article Content

roukayia abdelhamed
Mansour Essgaer

Abstract

Applying the exploratory stage to academic publication data allows us to uncover valuable insights from unstructured data, aiding Sebha University administrators in enhancing academic scientific output. One major issue in research production is the lack of citations, which academics are keen to understand. They seek to identify key factors that can help them publish in journals where their work will be cited. Additionally, evaluation committees and efforts to improve the quality of educational institutions require structured knowledge and organized data, rather than raw, hard-to-analyze information. By utilizing the exploratory stage, we were able to identify the most active years of scientific publishing and the journals whose research receives few citations.

Article Details

How to Cite
abdelhamed, roukayia, & Essgaer, M. (2024). Analyze data from scholarly articles on Google Scholar for two colleges within Sebha University using an exploratory data analysis approach . Sebha University Conference Proceedings, 3(2), 511–516. https://doi.org/10.51984/sucp.v3i2.3266
Section
Confrence Proceeding

References

E. Bell and A. Bryman, "The ethics of management research: an exploratory content analysis," British journal of management, vol. 18, no. 1, pp. 63-77, 2007.

E. Davidson, R. Edwards, L. Jamieson, and S. Weller, "Big data, qualitative style: a breadth-and-depth method for working with large amounts of secondary qualitative data," Quality & quantity, vol. 53, pp. 363-376, 2019.

A. Galletta, Mastering the semi-structured interview and beyond: From research design to analysis and publication. NYU press, 2013.

P. Organisciak, B. M. Schmidt, and J. S. Downie, "Giving shape to large digital libraries through exploratory data analysis," Journal of the Association for Information Science and Technology, vol. 73, no. 2, pp. 317-332, 2022.

D. S. Siegel, D. Waldman, and A. Link, "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research policy, vol. 32, no. 1, pp. 27-48, 2003.

H. Ailong, "ON THE EVALUATION MODEL OF SCIENTIFIC RESEARCH ACHIEVEMENTS AND THEIR GAUGING SYSTEM IN COLLEGES/DEPARTMENTS OF UNIVERSITIES," Journal of Southwest Agricultural University, 2007.

L. Xiaobin, "Research on Evaluation of the Scientific Research Efficiency of Departments in Universities and Colleges Based on DEA," Science and Technology Management Research, 2013.

M. I. Palacio and S. G. Martín, "La producción científica en la Facultad de," 2016.

J. Hong-xi, "Analysis and Exploration of College Students' Scientific Research Activities," Journal of Shenyang College of Education, 2010.

J. Nagaria, "Utilizing exploratory data analysis for the prediction of campus placement for educational institutions," in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020: IEEE, pp. 1-7.

F. Heimerl, Q. Han, S. Koch, and T. Ertl, "CiteRivers: Visual Analytics of Citation Patterns," IEEE Transactions on Visualization and Computer Graphics, vol. 22, pp. 190-199, 2016.

M. Dunaiski, G. J. Greene, and B. Fischer, "Exploratory search of academic publication and citation data using interactive tag cloud visualizations," Scientometrics, vol. 110, pp. 1539-1571, 2017.

V. Kotu and B. Deshpande, Data science: concepts and practice. Morgan Kaufmann, 2018.

S. Juggins and R. J. Telford, "Exploratory data analysis and data display," Tracking environmental change using Lake Sediments: data handling and numerical techniques, pp. 123-141, 2012.

A. Agaal and M. Essgaer, "An Exploratory Data Analysis of Breast Cancer Features in South of Libya," Journal of Pure & Applied Sciences, vol. 21, no. 4, pp. 57-64, 2022.

A. Ghosh, M. Nashaat, J. Miller, S. Quader, and C. Marston, "A comprehensive review of tools for exploratory analysis of tabular industrial datasets," Visual Informatics, vol. 2, no. 4, pp. 235-253, 2018.

K. Sahoo, A. K. Samal, J. Pramanik, and S. K. Pani, "Exploratory data analysis using Python," International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 12, pp. 4727-4735, 2019.

M. Abzalov and M. Abzalov, "Exploratory data analysis," Applied Mining Geology, pp. 207-219, 2016.

R. K. Pearson, Exploratory data analysis using R. Chapman and Hall/CRC, 2018.

K. H. Esbensen, D. Guyot, F. Westad, and L. P. Houmoller, Multivariate data analysis: in practice: an introduction to multivariate data analysis and experimental design. Multivariate Data Analysis, 2002.

K. Hunter-Thomson, "How Can We Better Move From Data to Meaning?," Science Scope, vol. 44, no. 3, pp. 14-19, 2021.