Computer Science & Electrical

Computer Science & Electrical

CITATION ANALYSIS ON THE EMERGING TECHNOLOGIES IN THE FIELDS OF INFORMATION SYSTEMS

Pages: 14  ,  Volume: 11  ,  Issue: 1 , August   2018
Received: 08 Sep 2018  ,  Published: 08 September 2018
Views: 10  ,  Download: 4

Authors

# Author Name
1 MAURINE AWUOR ONYANGO
2 Dr. Solomon Ogara

Abstract

En 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 this 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.

Keywords

References

En 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 this 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.

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