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Research Productivity in Terms of Output, Impact, and Collaboration for University Researchers in Saudi Arabia: SciVal Analytics and t -Tests Statistical Based Approach

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  • Mohammed S. Alqahtani

    (Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia
    BioImaging Unit, Space Research Centre, Department of Physics and Astronomy, University of Leicester, Leicester LE1 7RH, UK)

  • Mohamed Abbas

    (Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
    Electronics and Communications Department, College of Engineering, Delta University for Science and Technology, Gamasa 35712, Egypt)

  • Mohammed Abdul Muqeet

    (Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Hussain M. Almohiy

    (Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia)

Abstract

Analysis of the research productivity for any university is so important in order to raise its international ranking. Rankings offer universities evidence that the education they deliver is of high quality and top standard. A student’s level of dedication to their studies directly affects the outcome of their academic career. Sitting in on a lecture at a top-five rated institution is far less significant than actively contributing (engaging with classmates, doing research, etc.) at a top-50 ranked university. Using a SciVal dataset of 13 university entities across the Kingdom of Saudi Arabia over a span of 5 years (2017–2021), we conducted a scientometric study for three categories, namely Output (O), Impact (I), and Collaboration (C), incorporating a total of 18 features. The methodology for selecting universities in this research depended on selecting the best universities in the Kingdom of Saudi Arabia in terms of the number of published research papers and the number of citations. This article aims to forecast the pattern of development and shortcomings faced by researchers from around the country from 2017 to 2021. The dataset is evaluated at the university level with homogenized features termed as “Scholar Plot” (SP), a popular approach to maintain and encourage development at the individual level. It is concluded that variances in efficiency within each knowledge field are the major drivers of heterogeneity in scientific output. Disparities in quality and specialization play a lesser impact in influencing productivity differences. The measure of such disparities using the mean of the group’s significance is illustrated using a t -tests statistical approach.

Suggested Citation

  • Mohammed S. Alqahtani & Mohamed Abbas & Mohammed Abdul Muqeet & Hussain M. Almohiy, 2022. "Research Productivity in Terms of Output, Impact, and Collaboration for University Researchers in Saudi Arabia: SciVal Analytics and t -Tests Statistical Based Approach," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16079-:d:990591
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    References listed on IDEAS

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    1. Sergey Kolesnikov & Seokkyun Woo & Yin Li & Philip Shapira & Jan Youtie, 2019. "Mapping the emergence of international university research ventures," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1134-1162, August.
    2. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
    3. Laura Cruz-Castro & Koen Jonkers & Luis Sanz-Menéndez, 2015. "The internationalisation of research institutes," Working Papers 1513, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    4. Lucília Cardoso & Rui Silva & Giovana Goretti Feijó de Almeida & Luís Lima Santos, 2020. "A Bibliometric Model to Analyze Country Research Performance: SciVal Topic Prominence Approach in Tourism, Leisure and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-26, November.
    5. Mila Cascajares & Alfredo Alcayde & José Antonio Garrido-Cardenas & Francisco Manzano-Agugliaro, 2020. "The Contribution of Spanish Science to Patents: Medicine as Case of Study," IJERPH, MDPI, vol. 17(10), pages 1-24, May.
    6. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.
    7. José Manuel Pastor & Lorenzo Serrano, 2016. "The determinants of the research output of universities: specialization, quality and inefficiencies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1255-1281, November.
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