JMCER

Evaluating the Performance of the Scientific Research in the Iraqi Universities

  • Received
    April 20, 2022
  • Revised
    June 30, 2022
  • Accepted
    July 31, 2022
  • Published
    August 18, 2022

Authors

  • Ahmed J. Mohammed
  • Taha M. Hasan

Abstract:

One of the most important factors that play a basic role in life development is scientific research. The main sources of scientific research are universities, laboratories, and research centers. In this regard, the importance comes in periodic evaluation of the performance of scientific research. This work deeply analyzes the performance of the Iraqi universities in terms of scientific research. It generates a Citation Network among the main Iraqi universities for this purpose. This type of network has the ability to reflect the actual status of scientific research in Iraqi universities. This study uses an approach based on the concepts of complex networks. The process of collecting data is done by designing a special-purpose program called a crawler. This crawler crawls the Google Scholar repository and retrieves all the data required. Based on the official educational domains of Iraqi universities, the crawler collects information from published research articles. The main contribution of this study is to generate a citation network among the main Iraqi universities and to extract the main facts on scientific research activities. The second contribution is to propose a local rank for the main Iraqi universities based on network measurements and other academic indicators. Another aspect that is investigated is the scientific collaboration among the Iraqi universities and with the worldwide universities.

Keywords:

Citation Networks, Collaboration Networks, Iraqi Universities

References

  • Cress, Ulrike, Johannes Moskaliuk, and Heisawn Jeong, eds. Mass collaboration and education. Vol. 16. New York, NY: Springer, 2016.
  • Hanoon, Yossra K., and Riyadh K. Lafta. “Factors Influencing Publishing Scientific Papers among Iraqi Medical Academic.” Indian Journal of Public Health Research & Development 10.9 (2019): 1569-1575.
  • Sidiropoulos, Antonis, Dimitrios Katsaros, and Yannis Manolopoulos. “Generalized Hirsch h-index for disclosing latent facts in citation networks.” Scientometrics 72.2 (2007): 253-280.
  • Son, Jieun, and Seoung Bum Kim. “Academic paper recommender system using multilevel simultaneous citation networks.” Decision Support Systems 105 (2018): 24-33.
  • Massucci, Francesco Alessandro, and Domingo Docampo. “Measuring the academic reputation through citation networks via PageRank.” Journal of Informetrics 13.1 (2019): 185-201.
  • Zhou, Jian, et al. “Analysis of effects to journal impact factors based on citation networks generated via social computing.” IEEE Access 7 (2019): 19775-19781.
  • Lewis, Jonathan. “How Transdisciplinary is Design? An Analysis Using Citation Networks.” Design Issues 36.1 (2020): 30-44.
  • Bu, Yi. Understanding the Citation-based Impact of Scientific Publications Through Ego-centered Citation Networks. Diss. Indiana University, 2020.
  • Albert, Réka, and Albert-László Barabási. “Statistical mechanics of complex networks.” Reviews of modern physics 74.1 (2002): 47.
  • Divakarmurthy, Pramod, and Ronaldo Menezes. “The effect of citations to collaboration networks.” Complex Networks. Springer, Berlin, Heidelberg, 2013. 177-185.
  • Mahmood, Basim Mohammed, et al. “Collaboration Networks: University of Mosul Case Study.” AL-Rafidain Journal of Computer Sciences and Mathematics 14.1 (2020): 117-133.
  • Abdullah, Dhuha Basheer, and Basim Mahmood. “Network-Based Bibliometric Method for Analyzing Collaboration and Publishing Tendencies.” 2020 6th International Engineering Conference “Sustainable Technology and Development”(IEC). IEEE, 2020.
  • Sultan, Nagham A., et al. “Network Centralities-Based Approach for Evaluating Interdisciplinary Collaboration.” 2020 6th International Engineering Conference “Sustainable Technology and Development”(IEC). IEEE, 2020.
  • Strogatz, Steven H. “Exploring complex networks.” nature 410.6825 (2001): 268-276.
  • Wu, Zhi-Xi, et al. “Evolutionary prisoner’s dilemma game on Barabási–Albert scale-free networks.” Physica A: Statistical Mechanics and its Applications 379.2 (2007): 672-680.
  • Mahmood, Basim, Zainab Younis, and Wael Hadeed. “Analyzing Iraqi Social Settings After ISIS: Individual Interactions in Social Networks.” The Journal of Social, Political, and Economic Studies 44.3/4 (2018): 222-230.
  • Rivera, Mark T., Sara B. Soderstrom, and Brian Uzzi. “Dynamics of dyads in social networks: Assortative, relational, and proximity mechanisms.” annual Review of Sociology 36 (2010): 91-115.
  • Newman, Mark EJ. “Modularity and community structure in networks.” Proceedings of the national academy of sciences 103.23 (2006): 8577-8582.
  • Bastian, Mathieu, Sebastien Heymann, and Mathieu Jacomy. “Gephi: an open source software for exploring and manipulating networks.” Third international AAAI.
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