Libraries at University of Nebraska-Lincoln
Date of this Version
Summer 4-2019
Document Type
Article
Citation
References
- Beck, M., Dobrov, G., Garfield, E., & De Solla Price, D. (1978). Scientometrics editorial statements. Scientometrics, 1(1), 3-8.
- Data science. (n.d.) In Wikipedia. Retrieved April 12, 2019 from https://en.wikipedia.org/wiki/Data_science.
- GunnMap. (n.d.). Retrieved from http://gunnmap.herokuapp.com/
- Khiste, G. P., Maske Dnyaneshwar, B., & Deshmukh, R. K. (2018). Big data output in J-gate during 2013 to 2017: A bibliometrics analysis. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(1), 1252-1257.
- Liao, H., Tang, M., Luo, L., Li, C., Chiclana, F., & Zeng, X. J. (2018). A bibliometric analysis and visualization of medical big data research. Sustainability, 10(1), 166.
- Nalimov, V. V., & Mulchenko, Z. M. (1969). Scientometrics: The study of science as an information process. Macoow: Nauka.
- Noruzi, A. (2017). YouTube in scientific research: A bibliometric analysis. Webology, 14(1). Retrieved from http://www.webology.org/2017/v14n1/editorial23.pdf
- Pal, A. & Sarkar, A. (2018). Information Systems Research in the 21st century: a bibliometric study. Library Philosophy and Practice (e-journal). 2155. Retrieved April 3, 2019 from https://digitalcommons.unl.edu/libphilprac/2155/.
- Scopus. (2019). Retrieved April 5, 2019, from https://www.scopus.com
- Zhang, Y., Porter, A., Cunningham, S., Chiavetta, D. & Newman, N. (2018), How is data science involved in policy analysis? A bibliometric perspective, Portland International Conference on Management of Engineering and Technology, Hwaii, US.
Abstract
In this scientometric study through the meticulous analysis of year and language wise distribution of publications, document type wise distribution of contributions, year wise citation analysis and country wise productivity in the field of data science research, an effort has been made to delineate a vibrant image of the present condition of data science research. Data have been collected from Scopus database for the purpose of the study. The study reflects that among the total 3793 publications on data science, the highest number of publications i.e. 604, were published in 2018 and lowest number of publications i.e.42, were published in 2002. Among the published documents mostly were in English language i.e. 3654 and then it is followed by German, Chinese, Spanish, French, Japanese, Portuguese, Russian, Polish, and Italian. The predominance of English language in data science research is clearly visible. Journal articles (1509) were the highest in number among different types of publications as nascent information on a subject mainly get reflected in journal articles. Researchers from USA top the list with 1801 publications on data science in the whole world. The year 2011 has received maximum number of citations i.e. 4138. Finally there is a significant positive correlation between time and growth of citation denoting growth trend in the number of citations with the passage of time.