Engineering applications of artificial intelligence : a bibliometric analysis of 30 years (1988–2018)
| dc.contributor.author | Shukla, Amit K. | |
| dc.contributor.author | Janmaijaya, Manvendra | |
| dc.contributor.author | Abraham, Ajith | |
| dc.contributor.author | Muhuri, Pranab K. | |
| dc.date.accessioned | 2019-09-18T06:43:22Z | |
| dc.date.issued | 2019-10 | |
| dc.description.abstract | The Engineering Applications of Artificial Intelligence (EAAI) is a journal of very high repute in the domain of Engineering and Computer Science. This paper gives a broad view of the publications in EAAI from 1988–2018, which are indexed in Web of Science (WoS) and Scopus. The main purpose of this research is to bring forward the prime impelling factors that bring about the EAAI publications and its citation structure. The publication and citation structure of EAAI is analyzed, which includes the distribution of publication over the years, citations per year and a bird’s eye view of the citation structure. Then the co-citation analysis and over the year’s trend of top keywords is given. The co-authorship networks and a geographic analysis of the sources is also provided. Further, a country-wise temporal and quantitative analysis of the publications is given along with the highly cited documents among the EAAI publications. | en_ZA |
| dc.description.department | Computer Science | en_ZA |
| dc.description.embargo | 2020-10-01 | |
| dc.description.librarian | hj2019 | en_ZA |
| dc.description.sponsorship | First author thankfully acknowledges the INSPIRE fellowship received from the Department of Science and Technology, Government of India. Second author is grateful to the South Asian University, New Delhi, India for the financial support in the form of a Ph.D. fellowship. | en_ZA |
| dc.description.uri | http://www.elsevier.com/locate/engappai | en_ZA |
| dc.identifier.citation | Shukla, A.K., Janmaijaya, M., Abraham, A. et al. 2019, 'Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)', Engineering Applications of Artificial Intelligence, vol. 85, pp. 517-532. | en_ZA |
| dc.identifier.issn | 0952-1976 (print) | |
| dc.identifier.issn | 1873-6769 (online) | |
| dc.identifier.other | 10.1016/j.engappai.2019.06.010 | |
| dc.identifier.uri | http://hdl.handle.net/2263/71391 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Elsevier | en_ZA |
| dc.rights | © 2019 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Engineering Applications of Artificial Intelligence. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Engineering Applications of Artificial Intelligence, vol. 85, pp. 517-532, 2019. doi : 10.1016/j.engappai.2019.06.010. | en_ZA |
| dc.subject | Bibliometric study | en_ZA |
| dc.subject | Scientometric mapping | en_ZA |
| dc.subject | VOSviewer | en_ZA |
| dc.subject | Web of Science (WoS) | en_ZA |
| dc.subject | Engineering applications of artificial intelligence (EAAI) | en_ZA |
| dc.title | Engineering applications of artificial intelligence : a bibliometric analysis of 30 years (1988–2018) | en_ZA |
| dc.type | Postprint Article | en_ZA |