نتایج جستجو برای: google scholar
تعداد نتایج: 54555 فیلتر نتایج به سال:
Scientific articles are retracted infrequently, yet have the potential to influence the scientific literature for years. The only randomised controlled trial to explore the effects of omega-3 polyunsaturated fatty acids in people with chronic obstructive pulmonary disease was retracted in 2008 due to falsified data. The objective of this research was to determine the frequency and nature of cit...
Purpose – This paper aims to report on the evaluation of a curriculum development project that took place in the Department of Psychology at the University of Sheffield. The project, funded by a Centre for Excellence in Teaching and Learning (CILASS), sought to embed information literacy development in a Level One module using an inquiry-based learning pedagogical approach. Students worked coll...
The area of Learning Analytics has developed enormously since the first International Conference on Learning Analytics and Knowledge (LAK) in 2011. It is a field that combines different disciplines such as computer science, statistics, psychology and pedagogy to achieve its intended objectives. The main goals illustrate in creating convenient interventions on learning as well as its environment...
Abstract. This paper assesses the scholarly impact of the CLEF evaluation campaign by performing a bibliometric analysis of the citations of the CLEF 2000–2009 proceedings publications collected through Scopus and Google Scholar. Our analysis indicates a significant impact of CLEF, particularly for its well-established Adhoc, ImageCLEF, and QA labs, and for the lab/task overview publications th...
Presents the result of the calculated ISI equivalent Impact Factor, Relative Diffusion Factor (RDF), and Journal Diffusion Factor (JDF) for articles published in the Medical Journal of Malaysia (MJM) between the years 2004 and 2008 in both their synchronous and diachronous versions. The publication data are collected from MyAis (Malaysian Abstracting & Indexing system) while the citation data a...
☆ Work on this paper has been supported by grants (2014-1735), the Fetzer Foundation, and the Cente Behavioral Sciences (CASBS), Stanford. The initial draf while Lee Jussim was a CASBS Scholar. We thank Ifat M “Wow Effect” developed in this paper. ⁎ Corresponding author. E-mail addresses: [email protected] (L. Jussim), craw [email protected] (S.M. Anglin), seantstevens [email protected]...
Alexander Serenko is an Associate Professor based at the Faculty of Business Administration, Lakehead University, Thunder Bay, Canada. John Dumay is an Associate Professor based at the Department of Accounting and Corporate Governance, Faculty of Business and Economics, Macquarie University, Sydney, Australia. Abstract Purpose – The purpose of this study is to develop a list of citation classic...
We prove two complexity results about the H-index concerned with the Google scholar merge operation on one’s scientific articles. The results show that, although it is hard to merge one’s articles in an optimal way, it is easy to merge them in such a way that one’s H-index increases. This suggests the need for an alternative scientific performance measure that is resistant to this type of manip...
We present a simple generalization of Hirsch’s h-index, Z ≡ √ h2 + C/ √ 5, where C is the total number of citations. Z is aimed at correcting the potentially excessive penalty made by h on a scientist’s highly cited papers, because for the majority of scientists analyzed, we find the excess citation fraction (C − h)/C to be distributed closely around the value 0.75, meaning that 75 percent of t...
We propose a new metric and data source to assess journal impact in the field of Economics & Business. The metric – Hirsch’s h-index – improves on the traditionally used ISI Journal Impact Factor by providing a more robust and less time-sensitive measure of journal impact. The data source – Google Scholar – provides a more comprehensive coverage of citations than ISI, including citations in boo...
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