TARU PUBLICATIONS
COLLNET Journal of Scientometrics and Information Management cover

COLLNET Journal of Scientometrics and Information Management

(Since 2007)
Open Access ·Peer-reviewed·ISSN (Online): 2168-930X·ISSN (Print): 0973-7766

WoS  JIF 2026 : 0.6 (Q3)

Powered by:Powered by

Half-Yearly Journal: Publishes research and articles on scientometrics and information management, including bibliometric analysis and quality assurance models.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
EDITOR-CJSIM@tarupublications.com
Taru Online First Current IssueBrowse all Issues
COLLNET Journal of Scientometrics and Information Management
Open Access Research Article

Mapping global research on expert systems

* ,

* Corresponding author · click or hover a name for details

pp. 23–38Vol. 17Issue 1June 2023DOI: 10.47974/CJSIM-2021-0103XML
Published Online:
01 Jun 2023
Article type:
Research Article
Language:
EN
Article no.:
CJSIM-2021-0103
Pages:
23–38

Abstract

Purpose: The purpose of the study is to conduct a scientometric analysis of expert systems literature indexed in the Science Citation Index Expanded (SCIE) of the Web of Science database for a period of ten years (2011-2020). Design/Methodology: The study collected data from the Science Citation Index Expanded (SCIE) of the Web of Science (WoS) database from 2011-2020. The synonymous, broader and related terms of Expert Systems were selected from the Dewey Decimal Classification Scheme and Sears List of Subject Headings. A string of these terms was employed to retrieve data in the advanced search mode of the database. The harvested data was analyzed using scientometric techniques. Besides, the Microsoft Excel and VOSviewer software were used to represent and map the research productivity on expert systems. Findings: The results indicated inconsistent fluctuations in the annual number of publications from 396 in 2011 to 463 in 2020 and a decline in the number of citations from 8344 in 2011 to 520 in 2020. Further, it is divulged that China, the USA, and Spain are the three top countries contributing to expert system research published 16.36%, 14.96%, and 8.95% of literature respectively. While analysing institutional performance, the results revealed that most of the institutions are from China (6), followed by Iran (4), Spain (3) and India (2) /Malaysia (2) respectively. Further, by clustering the network map for keywords co-occurrence, it was found that expert systems, fuzzy logic, knowledge-based systems, machine learning, and artificial intelligence are the most common keywords and hence the hot topics of research in the area. Practical implications: The findings of the study may help researchers, information scientists and technologists to identify the research progress in the field of expert systems. Besides, it will help librarians to know the hot topics of research, prominent publications and prolific authors in expert systems. This will be helpful in the collection development of expert systems and artificial intelligence in libraries and information centres. Research limitations: The database studied for the work does not represent the total literary output available on expert systems as data in other databases like Scopus, Compendex, IEEE Xplore, arXiv, etc. haven’t been harvested. Originality/Value: The study is based on current literature on expert systems and will highlight new research trends in the said field.

Keywords

Expert systemsKnowledge-based systemsIntelligent SystemsScientometricsBibliometrics

References

[1] Ahmed, A., Al-Masri, N., Abu Sultan, Y. S., Akkila, A. N., Almasri, A., Mahmoud, A. Y., ... & Abu-Naser, S. S., Knowledge-based systems survey (2019). Retrieved from: http:// dstore.alazhar.edu.ps/xmlui/handle/123456789/465.
[2] Bajwa, R. S., & Yaldram, K., Bibliometric analysis of biotechnology research in Pakistan. Scientometrics, 95, 529-540 (2013).
[3] Bakri, A., & Willett, P., Computer science research in Malaysia: a bibliometric analysis. Aslib Proceedings, 63(2/3), 321-335 (2011, March). Doi https://doi. org/10.1108/00012531111135727.
[4] Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S., Artificial intelligence in ECommerce: a bibliometric study and literature review. Electronic markets, 32(1), 297- 338 (2022). Doi: 10.1007/s12525-022-00537-z.
[5] Behrens, H., & Luksch, P., Mathematics 1868–2008: a bibliometric analysis. Scientometrics, 86(1), 179-194 (2011). Doi: 10.1007/s11192-010-0249-x.
[6] Blanco-Mesa, F., Merigó, J. M., & Gil-Lafuente, A. M., Fuzzy decision making: A bibliometric- based review. Journal of Intelligent & Fuzzy Systems, 32(3), 2033-2050 (2017). Doi:10.3233/JIFS-161640.
[7] Buchanan, B. G., & Smith, R. G., Fundamentals of expert systems. Annual review of computer science, 3(1), 23-58 (1988). Doi: 10.1146/annurev.cs.03.060188.000323.
[8] Chitra, V., & Jeyshankar, R., Growth of Literature in Neuroscience: A Scientometric study (1972-2011). Journal of Advances in Library and Information Science, 1(4), 201- 210 (2012). Retrieved from: https://www.jalis.in/pdf/pdf4/Jeyshankar.pdf.
[9] Dalpé, R., Bibliometric analysis of biotechnology. Scientometrics, 55(2), 189-213 (2002). Doi: 10.1023/a:1019663607103.
[10] Dhamija, P., & Bag, S., Role of artificial intelligence in operations environment: a review and bibliometric analysis. The TQM Journal, I(4), 869-896 (2020). Doi: 10.1108/TQM-10- 2019-0243.
[11] Expert Systems with Applications. Retrieved on August 3, 2022 (2021). from: https:// www.sciencedirect.com/journal/expert-systems-with-applications.
[12] Fosso Wamba, S., & Queiroz, M. M., Responsible artificial intelligence as a secret ingredient for digital health: Bibliometric analysis, insights, and research directions. Information Systems Frontiers, 1-16 (2021). Doi: 10.1007/s10796-021-10142-8.
[13] Gao, F., Jia, X., Zhao, Z., Chen, C. C., Xu, F., Geng, Z., & Song, X., Bibliometric analysis on tendency and topics of artificial intelligence over last decade. Microsystem Technologies, 27, 1545-1557 (2021). Doi: 10.1007/s00542-019-04426-y.
[14] Hassan, N. R., & Loebbecke, C. Engaging scientometrics in information systems. Journal of Information Technology, 32(1), 85-109 (2017). 10.1057/jit.2015.29.
[15] Hu, H., Wang, D., & Deng, S., Global collaboration in artificial intelligence: Bibliometrics and network analysis from 1985 to 2019. Journal of Data and Information Science, 5(4), 86-115 (2020). Doi: 10.2478/jdis-2020-0027.
[16] Kim, E. H., Oh, S. K., & Pedrycz, W., Reinforced rule-based fuzzy models: Design and analysis. Knowledge-Based Systems, 119, 44-58 (2017). Doi: 10.1016/j.knosys.2016.12.003.
[17] Kirtil, I. G., & Aşkun, V., Artificial intelligence in tourism: a review and bibliometrics research. Advances in Hospitality and Tourism Research, 9(1), 205-233 (2021). Doi: 10.30519/ahtr.801690.
[18] Lei, Y., & Liu, Z., The development of artificial intelligence: a bibliometric analysis, 2007-2016. In Journal of Physics: Conference Series, Vol. 1168, No. 2, p. 022027 (2019, February). IOP Publishing. Doi: 10.1088/1742-6596/1168/2/022027.
[19] Liao, S. H., Expert system methodologies and applications—a decade review from 1995 to 2004. Expert systems with applications, 28(1), 93-103 (2005). Doi: 10.1016/j. eswa.2004.08.003.
[20] Liu, J., Kong, X., Xia, F., Bai, X., Wang, L., Qing, Q., & Lee, I., Artificial intelligence in the 21st century. IEEE Access, 6, 34403-34421 (2018). Doi: 10.1109/ACCESS.2018.2819688.
[21] Loan, F. A., Bashir, B., & Nasreen, N., Applied artificial intelligence: A bibliometric study of an International Journal. COLLNET Journal of Scientometrics and Information Management, 15(1), 27-45 (2021). Doi: 10.1080/09737766.2021.1938742.
[22] Martínez, M. A., Cobo, M. J., Herrera, M., & Herrera-Viedma, E., Analyzing the scientific evolution of social work using science mapping. Research on social work practice, 25(2), 257-277 (2015). Doi: 10.1177/104973151452210.
[23] Niu, J., Tang, W., Xu, F., Zhou, X., & Song, Y., Global research on artificial intelligence from 1990–2014: Spatially-explicit bibliometric analysis. ISPRS International Journal of Geo-Information, 5(5), 66 (2016). Doi: 10.3390/ijgi5050066.
[24] Oyedeji, A. O., Osifeko, M. O., Folorunsho, O., Abolade, O. R., & Ade-Ikuesan, O. O., Design and implementation of a medical diagnostic expert system. Journal of Engineering Science 10(2), 103-109 (2019). Retrieved from: https://www2.kuet.ac.bd/JES/images/ files/v102/12_JES_239_28-11-2019.pdf.
[25] Rastogi, P., The Designing and Applications of Expert Computer Systems in the Sciences. International Journal of Latest Trends in Engineering and Technology, 7(2), 104-110 (2016). Doi: 10.21172/1.72.517.
[26] Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I., Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions. Expert Systems with Applications, 173, 114702 (2021). Doi: 10.1016/j.eswa.2021.114702.
[27] Siddique, N., Rehman, S. U., Khan, M. A., & Altaf, A., Library and information science research in Pakistan: A bibliometric analysis, 1957–2018. Journal of librarianship and information science, 53(1), 89-102 (2021). Doi:10.1177/0961000620921930.
[28] Shrivastava, R., & Mahajan, P., Artificial intelligence research in India: A scientometric analysis. Science & Technology Libraries, 35(2), 136-151 (2016). Doi: 10.1080/0194262X.2016.1181023.
[29] Tripathi, K. P., A review on knowledge-based expert system: concept and architecture. IJCA Special Issue on Artificial Intelligence Techniques-Novel Approaches & Practical Applications, 4, 19-23 (2011). Retrieved from: https://citeseerx.ist.psu.edu/docum ent?repid=rep1&type=pdf&doi=19f89f1b19b558389e9c70b75403063376cb8e3d.
[30] VOSViewer, VOSviewer: Visualizing Scientific Landscapes. Retrieved September 03 (2021), from: https://www.vosviewer.com/.
[31] Wallin, J. A., Bibliometric methods: pitfalls and possibilities. Basic &Clinical Pharmacology &Toxicology, 97(5), 261-275 (2005). Doi: 10.1111/j.1742-7843.2005.pto_139.x.
[32] Wonga, B.K. & Monacob, J.A., Expert system applications in business: A review and analysis of the literature (1977–1993). Information & Management, 29(3), 141-152 (1995). Doi: 10.1016/0378-7206(95)00023-P.
[33] Zhang, Y., Chen, H., Lu, J., & Zhang, G., Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowledge-Based Systems, 133, 255-268 (2017). Doi: 10.1016/j.knosys.2017.07.011.
[34] Zwass, V., Expert system. Encyclopedia Britannica. Retrieved September 3, 2021 (2016) from: https://www.britannica.com/technology/expert-system.

Views: 554Downloads: 111Citations: 0