New measurements of scientific and technological advances

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Submission Deadline: Tue 01 Dec 2020
Journal Impact Factor : 4.611
Journal Name : Journal of Informetrics
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/journal-of-informetrics/call-for-papers/new-measurements-of-scientific-and-technological-advances
Journal & Submission Website: https://www.journals.elsevier.com/journal-of-informetrics

Special Issue Call for Papers:

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

Guest Editors

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.

Important Dates

  • Submissions open: 1st July 2020
  • Submission deadline: 1st December 2020
  • Final decision: 1st May 2021

References

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.