Libraries at University of Nebraska-Lincoln


Date of this Version

Winter 12-12-2019

Document Type



Chiarello, F., Steiner, M. T. A., Oliveira, E. B. D., Arce, J. E., & Ferreira, J. C. (2019). Artificial neural networks applied in forest biometrics and modeling: state of the art (January/2007 to July/2018). Cerne, 25(2), 140-155.

Gagolewski, M., James, S., & Beliakov, G. (2019). Supervised learning to aggregate data with the Sugeno integral. IEEE Transactions on Fuzzy Systems, 27(4), 810-815.

Gupta, B. M., & Dhawan, S. M. (2018). Artificial Intelligence Research in India: A Scientometric Assessment of Publications Output During 2007-16. DESIDOC Journal of Library & Information Technology, 38(6), 416-422.

Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial Intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51.

Niu, J., Tang, W., Xu, F., Zhou, X., & Song, Y. (2016). Global research on artificial intelligence from 1990–2014: Spatially-explicit bibliometric analysis. ISPRS International Journal of Geo-Information, 5(5), 66.

Osareh, F., & Mostafavi, E. (2011). A comparative survey of Lotka and Pao’s laws conformity with the number of researchers and their articles in computer science and artificial intelligence fields in web of science (1986-2009). Iranian Journal of Information processing and Management, 26(4), 1349-1371.

Shrivastava, R., & Mahajan, P. (2016). Artificial intelligence research in India: A scientometric analysis. Science & Technology Libraries, 35(2), 136-151.

Shukla, A. K., Janmaijaya, M., Abraham, A., & Muhuri, P. K. (2019). Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018). Engineering Applications of Artificial Intelligence, 85, 517-532.

Tran, B. X., Nghiem, S., Sahin, O., Vu, T. M., Ha, G. H., Vu, G. T., & Ho, C. S. (2019). Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study. Journal of medical Internet research, 21(11), e15511.

Tran, B. X., Vu, G. T., Ha, G. H., Vuong, Q. H., Ho, M. T., Vuong, T. T., ... & Latkin, C. A. (2019). Global evolution of research in artificial intelligence in health and medicine: A bibliometric study. Journal of clinical medicine, 8(3), 360.

West, E., Mutasa, S., Zhu, Z., & Ha, R. (2019). Global Trend in Artificial Intelligence–Based Publications in Radiology From 2000 to 2018. American Journal of Roentgenology, 1-3.

Zhang, X., Wang, X., Zhao, H., de Pablos, P. O., Sun, Y., & Xiong, H. (2019). An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications. Scientometrics, 119(3), 1311-1344.

Zhou, X., Huang, L., Zhang, Y., & Yu, M. (2019). A hybrid approach to detecting technological recombination based on text mining and patent network analysis. Scientometrics, 121(2), 699-737.


Dr. M. Kumaran

Chief Librarian

Srimathi Pathmavathi Memorial Central Library

Rathnavel Subramaniam College of arts and Science,

Sulur, Coimbatore-641 402, Tamil Nadu, India

Mobile No: +91 9944557098


Respected Chief Editor,

Herewith I am sending the manuscript entitled “Bibliometric analysis of Indian contribution in the research literature on artificial intelligence: a study.” for your kind perusal and favourable consideration to publish in Library Philosophy and Practice’. The manuscript contains 4 figures and 6 tables, the documents (full manuscript) were attached in the format of MS word. And this manuscript has not been submitted/ published previously.

Thanking you,

Yours sincerely,

(Dr. M. Kumaran)


The present research paper pertains to the bibliometric analysis of literature on Artificial Intelligence during the year 1986-2015. The main objectives of the research work are to explore the academic research/review publication contributed by the Scientists and Subject experts from the Engineering background. The data/information used in this study has been proclaimed from the online database “Scopus”. The following terms were used as keywords to retrieve the data from the “Scopus” are (TITLE-ABS-KEY-AUTH (artificial intelligence) AND PUBYEAR > 1985 AND PUBYEAR < 2015 AND (LIMIT-TO (SUBJAREA,"ENGI”))). The study has revealed and discussed on the major parameters of yearly publication, citation pattern, a bibliographic form of publication, highly contributed authors, top-ranking authors, etc. The foremost results of our study have found that during the study period 2676 research publications were contributed by the Indian authors in the Engineering discipline.