One of the routes through which the field of informetrics contributes to science and technology is to quantitively measure STA, such as the measurement of research impact through citations (Garfield, 1955). New measures of STA have emerged since the past decade, including “novelty” (Uzzi, et al., 2013), “innovation” (Foster, et al., 2015), “disruption” (Funk & Owen-Smith, 2017; Wu, et al., 2019), etc. They brought the measurements of STA closer to the concept of research quality, which might not be fully revealed by the citation counts.
The motivation of this special issue is to present the latest development of STA measurements and spur discussion on quantitative assessment of research quality in informetrics and related fields. We encourage in particular original contributions that (a) create new measurements of STA, such as new algorithms, novel methodology, or innovative designs; (b) measure the “novelty”, “innovation” or “disruption” of science and technology; (c) connect research disruption/novelty/innovation to scientific career; (d) detect emerging topics and techniques in science and technology. Last but not least, reviews and comparative studies are also welcome.
Preliminary List of Topics
The Special Issue will invite papers on but not limited to the following listed topics:
New algorithms, methodology or designs for measuring scientific and technological advances
Measurements of research disruption/novelty/innovation of scientific publications or patents
Comparative analysis of the measurements of scientific and technological advances
Correlation or causality between research disruption/novelty/innovation and scientific career
Detection of emerging topics in scientific publications
Detection of emerging technologies in patents
Dr. Jiang Li, Professor of information science at School of Information Management, Nanjing University, China. His research involves a wide range of topics, with a particular focus on the measurements of scientific and technological advances, scientist mobility and the phenomenon of sleeping beauties in science. His research has been published in academic journals including Journal of the Association for Information Science and Technology, Journal of Informetrics, Scientometrics, PLoS One, etc., as well as conferences including ISSI, ASIS&T, iConference, etc. He serves on the editorial board of Journal of Informetrics, and also on the distinguished reviewers board of Scientometrics.
Submissions open: 1st July 2020
Submission deadline: 1st December 2020
Final decision: 1st May 2021
Foster J G, Rzhetsky A, Evans J A. (2015). Tradition and innovation in scientists’ research strategies. American Sociological Review, 80(5): 875-908.
Funk, R. J., & Owen-Smith, J. (2017). A Dynamic Network Measure of Technological Change. Management Science, 63(3), 791-817.
Garfield E (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science. 122 (3159): 108–11.
Narin, F. (1978). Objectivity versus relevance in studies of scientific advance. Scientometrics, 1(1), 35-41.
Uzzi B, Mukherjee S, Stringer M, et al. (2013). Atypical combinations and scientific impact. Science, 342(6157): 468-472.