The luminous intensity of regional ‘night-light’ output can predict the growing volume of published scientific research by ‘luminaries’ in developing countries
Xuemei Wang and
Mingguo Ma ()
Additional contact information
Xuemei Wang: Southwest University
Mingguo Ma: Southwest University
Scientometrics, 2017, vol. 110, issue 2, No 23, 1005-1010
Abstract:
Abstract Global scientific research output has experienced continuous and rapid growth during the last 20 years. The spatial and temporal variations of the international papers at the national and regional scales were analyzed by combining the remotely sensed nighttime light data from the Defense Meteorological Satellite Program’s Operational Linescan System. The findings indicate that the publication of international-circulation scientific papers in most of the countries examined have experienced a trend of exponential increase which can be positively correlated with nighttime light in those counties or regions. Furthermore, the developing countries have higher correlation coefficients than the developed countries. Thus, literal nighttime light data can potentially be used in future to better predict the number of publications of the research of figurative ‘luminaries’ residing in developing countries.
Keywords: Nighttime light data; Remote sensing; Bibliometrics; Spatial analysis (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-2188-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:110:y:2017:i:2:d:10.1007_s11192-016-2188-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-016-2188-7
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().