Computer Science & Electrical
Received: 23 Oct 2018 , Published: 08 November 2018
Views: 39 , Download: 0
|1||MAURINE AWUOR ONYANGO|
|2||Dr. Solomon Ogara|
Even though information technology is an acceptable innovation for improvement of performance in all sectors, citation studies on associated literature seem to be missing. Furthermore, analysis of citations related to emerging technologies in these fields as cloud computing, virtual reality, mobile computing, e-learning, data mining and internet of things (IOT) seem to have received narrow attention. Citation analysis was carried out with objectives of determining authorship patterns, age distribution as well as keywords co-occurrence of the cited articles. A total of 3,123 citations appended to the reference section of 72 articles covering emerging ICT including cloud computing (10 articles), virtual reality 12 articles), mobile computing (13 articles), e-learning (12 articles), data mining (15 articles), and internet of things (10 articles) were analysed. Collaborative research among ICT scientists was revealed as two or more authors authored 60% of the articles followed by single authors (30%). Most cited sources in ICT systems are between 2010 and 2017 (58.5%). Customer behavior leads keywords in data mining: academic performance in e-learning; energy efficiency in IoT; computing infrastructure in mobile computing; data visualization in virtual reality and data integration in cloud computing.
Almrot, E., & Andersson, S. (2013). A study of the advantages & disadvantages of mobile cloud computing versus native environment. Thesis submitted to School of Computing Internet, Blekinge Institute of Technology (Sweden).
Barthelus, L. (2016). Adopting cloud computing within the healthcare industry: opportunity or risk? Online Journal of Applied Knowledge Management 4, (1), 1 – 16.
Bhaughman, J. C. (1974). A structural analysis of the literature of sociology, Library Quarterly,44 (Oct),. 293-308.
Chen, Y., Ding, C., Hu, J., Chen, R., Hui, P., & Fu, X. (2017). Building and Analyzing a Global Co- Authorship Network Using Google Scholar Data. International World Wide Web Conference Committee, April 3–7, 2017, Perth, Australia. http://dx.doi.org/10.11145/3041021.3053056.
Chena, X., Chena, J., Wua, D., Xiea, Y., & Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Computer Science 91(2016). 547 – 555.
Dehdarirad, T., Villarroya, A., & Barrios, M. (2014). Research trends in gender differences in higher education and science: a co-word analysis, Scientometrics, 101 (2014) . 273-290.
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics 105 (3):1809–31. doi:10.1007/s11192-015-1645-z.
Garfield, E. (1983). Citation Indexing - Its Theory and Application in Science, Technology and Humanities. Philadelphia: ISI Press. Retrieved December 4, 2017 from Located at http://garfield.library.upenn.edu/ci/contents.pdf. accessed on 12.03.2018.
Hsiao, C.-H., Tang, K.-Y., & Liu, J. S. (2015). Citation-based analysis of literature: A case study of technology acceptance research. Scientometrics 105:2. doi:10.1007/s11192-015-1749-5.
Hu, J., & Zhang, Y. (2015). Research patterns and trends of Recommendation System in China using co-word analysis. Information Processing & Management, 51 (2015) . 329-339.
Huang, M.-H., & Chang, C.-P. (2014). Detecting research fronts in OLED field using bibliographic coupling with sliding window. Scientometrics 98:1721–44. doi:10.1007/s11192-013-1126-1.
Kakoty, S., Lal, M., & Sarma, K. (2011). E-learning as a Research Area: An Analytical Approach. . International Journal of Advanced Computer Science and Applications, 2(9),, 144 – 148.
Kamini, G., & Rattan, G. K. (2013). Citation Analysis of Information Research: An International Electronic Journal" (2013). Library Philosophy and Practice (e-journal). 1034http://digitalcommons.unl.edu/libphilprac/1034.
Karen, M., & Dressler, V. (2018). Using Citation Analysis to Identify Research Fronts: A Case Study with the Internet of Things. Science & Technology Libraries, DOI: 10.1080/0194262X.2017.1415183.
Kumar, K., & Reddy, T. (2012). Citation analysis of dissertations submitted to the department of library and information science, Sri Venkateswara University, Tirupati. . International Journal of Digital Library Services, 2 (2), , 44 – 84.
Leiss, C., & Gregory, K. (2016). Visibility and impact of research: Bibliometric services for university management and researchers. Proceedings of the IAUTL Conferences. Paper 3,Halifax, Nova Scotia. Purdue e-Pubs Purdue University.
Liu, Y., Dong, B., Guo, B., Yang, J., & Peng, W. (2015.). Combination of Cloud Computing and Internet of Things (IOT) in Medical Monitoring Systems. International Journal of Hybrid Information Technology, 8(12), . 368 – 376.
Martyn, L. A. (1976). Use studies in library planning, Library Trends 24(30). Momeni, M.R. (2015). A Survey of Mobile Cloud Computing: Advantages, Challenges and Approaches. International Journal of Computer Science and Business Informatics, 15(4),, 14 – 28.
Mishra, D., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Dubey, R., & Wamba, S. (2016). Vision, applications and future challenges of Internet of Things. Industrial Management & Data Systems 116 (7):1331–55. doi:10.1108/IMDS-11-2015-0478.
Mothibi, G. (2015). Meta-Analysis of the Relationship between E-Learning and Students’ Academic Achievement in Higher Education. . Journal of Education and Practice 6 (9),, 6-10.
Mutendwahothe, W. L. (2013). E-Learning’s Impact on the Academic Performance of Student-Teachers: A Curriculum Lens. Mediterranean Journal of Social Sciences, 4 (14), 695 – 704.
O?zadowicz, A. (2017). A New Concept of Active Demand Side Management for Energy Efficient Prosumer Microgrids with Smart Building Technologies. Energies, 10(1771), 1 –22.
Pradhan, P., Solanki, H., & Patel, S. (2016). Analysis of the Citation Patterns, Keywords Clustering and Collaboration Networks in Presented Papers of PLANNER Conventions;10th Convention PLANNER-2016, NEHU, Shillong, Meghalaya, 09-11 November, 2016. INFLIBNET Centre, Gandhinagar, Gujarat.
Radhakrishnan, B., Shineraj, G., & Muhammed, K. (2013). Application of Data Mining In Marketing. International Journal of Computer Science and Network, 2(5), 41 – 45.
Radhakrishnan, S., Erbis, S., Isaacs, J., & Kamarthi, S. (2017). Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature. PLoS ONE 12(3): e0172778. https://doi.org/10.1371/journal.
Raorane, A., & Kulkarni, R. (2011). Data mining techniques: a source for consumer behavior analysis. International Journal of Database Management Systems, 3 (3), 45 – 56.
Richard, R. (2010). Foundations of library and information science (3rd ed.). New York: Neal-Schuman Publishers. ISBN 978-1-55570-690-6. Accessed athttp://books.google.com/books?id=Pk1TSAAACAAJ accessed on 09.02.2018. http://en.wikipedia.org/wiki/Citation.
Singh, Y., Kandah, F., & Zhang, W. (2011). A Secured Cost-effective Multi-Cloud Storage in Cloud Computing. IEEE INFOCOM 2011 Workshop on Cloud Computing. 625 - 630.
Waaijer, C. J., & Palmblad, M. (2015). Bibliometric mappping: Eight decades of analytical chemistry, with special focus on the use of mass spectrometry. Analytical Chemistry 87:4588–96. doi:10.1021/ac5040314.