A review of theory and practice in scientometrics
By John C. Mingers, Loet Leydesdorff. European Journal of Operational Research, 2015
886 citations recorded by the source corpus.
Scientometrics is the study of the quantitative aspects of the process of science as a communication system. It is centrally, but not only, concerned with the analysis of citations in the academic literature. In recent years it has come to play a major role in the measurement and evaluation of research performance. In this review we consider: the historical development of scientometrics, sources of citation data, citation metrics and the “laws” of scientometrics, normalisation, journal impact factors and other journal metrics, visualising and mapping science, evaluation and policy, and future developments.
Subfields: Information Systems, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4ea403b4f30e1cf8b0b2a42416d089bccbfd4467
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Chaomei Chen
- Raminta Pranckute
- José M. Merigó
- Andrea Caputo
- Marina Dabic
- Saif M. Mohammad
- Massimiliano Matteo Pellegrini
- R. Słowiński
In Statistics and Probability
- Raminta Pranckute
- Ludo Waltman
- Chaomei Chen
- José M. Merigó
- Marina Dabic
- Saif M. Mohammad
- Massimiliano Matteo Pellegrini
- Emanuele Borgonovo
Citations in the corpus
- NRC Publications Archive Archives des publications du CNRC (neutral): “Thus, it is not surprising that there is growing interest in the use of Google Scholar information to draw inferences about scholarly research (Mart´ın-Mart´ın et al., 2018; Mingers and Leydesdorff, 2015; Ordu˜na-Malea et al., 2014; Howland, 2010).”
- Examining Citations of Natural Language Processing Literature (2020, background): “…information to draw inferences about scholarly research in general (Howland et al., 2009; Ordu˜na-Malea et al., 2014; Khabsa and Giles, 2014; Mingers and Leydesdorff, 2015; Mart´ın-Mart´ın et al., 2018) and on scholarly impact in particular (Priem and Hemminger, 2010; Yogatama et al., 2011;…”
- Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today's Academic World (2021, background): “Regarding the overlap of citations, Scopus was shown to cover 93% of citations that were covered by WoS, ranging from 80% in Humanities, Literature & Arts to 96% in Chemical & Material Sciences, while WoS covered 83% of Scopus citations, ranging from 68% in Humanities, Literature & Arts, and only ex”
- A review of the literature on citation impact indicators (2015, background): “The possibility of excluding non-international journals is also suggested by Moed (2002) and López-Illescas et al.”
- Forty years of the European Journal of Operational Research: A bibliometric overview (2017, background): “By doing so, the objective is to provide a general informative overview of the bibliographic material ( Bonilla, Merigó, & Torres-Abad, 2015; Ding, Rousseau, & Wolfram, 2014; Mingers & Leydesdorff, 2015 ).”
- Digitalization and business models: Where are we going? A science map of the field (2021, methodology): “Performance analysis is based on activity indicators (Mingers & Leydesdorff, 2015), which provide data pertaining to the volume and impact of research through the use of a wide range of techniques, including word frequency analysis, citation analysis, and publications counted by a unit of analysis…”
- A bibliometric analysis of operations research and management science (2017, methodology): “behaviour in OR-MS [30-33], institutions in INFORMS practice literature [14], the”
- Science Mapping: A Systematic Review of the Literature (2017, background): “These highly ranked articles represent a few types of studies that may serve as predictive indicators, namely review papers (Mingers & Leydesdorff, 2015; Waltman, 2016), applications of bibliometric studies to specific domains, software tools for science mapping (Cobo et al., 2012), new metrics and…”