CHARACTERISTICS OF HIGHLY CITED PAPERS
By Dag W. Aksnes. 2003
488 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/efc2f7d192a9ee1ec29505a6a9a040fdfd0dbf46
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Ludo Waltman
- Judit Bar-Ilan
- Chaomei Chen
- Kevin W. Boyack
- Richard Klavans
- Lutz Bornmann
- John Antonakis
- Paul F. Wouters
Citations in the corpus
- Charisma: An Ill-Defined and Ill-Measured Gift (2016, background): “…journals and disciplines, we included the following additional controls (a) a quadratic term for article age given the “decay” of citations over time (Aksnes 2003), (b) the impact factor of the journal, given that papers published in higher impact journals typically collect more citations…”
- A multilevel modelling approach to investigating the predictive validity of editorial decisions: do the editors of a high profile journal select manuscripts that are highly cited after publication? (2011, background): “Determining highly cited papers (or also lowly cited papers) is possible only on the basis of field-specific reference standards (Aksnes, 2003).”
- Which factors help authors produce the highest impact research? Collaboration, journal and document properties (2013, background): “This review does not consider article type as a factor, even though review articles are known to attract more citations (Aksnes, 2003), because it is concerned with primary research outputs.”
- Evaluating the use of search engine development tools in IT education (2010, unknown): “Aksnes (2003) also considered a third type, “medium rise – slow decline,” which can be considered as strongly related to our normal-type documents.”
- Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories (2019, background): “Aksnes (2003) introduced a conceptual distinction between quality dynamics and visibility dynamics to explain how micro-level decisions to cite particular papers aggregate and result in highly cited publications.”
- Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis (2015, result): “This result also applies to many other research fields (Aksnes 2003; Katz and Martin 1997; Luukkonen et al. 1992, 1993; van Leeuwen 2009; Ortega 2014; Leydesdorff et al. 2014).”
- Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge? (2015, background): “Reviews are also known to have more references and to be more highly cited, on average, than articles reporting on original research (Aksnes, 2003).”
- Predictive effects of structural variation on citation counts (2012, background): “For instance, review articles usually cite a large number of references and tend to be highly cited (Aksnes, 2003).”
- Informetrics at the beginning of the 21st century - A review (2008, background): “Aksnes and Taxt (2004) calculated the correlations between peer review and bibliometric indicators for the University of Bergen.”