F1000Prime recommendation of An index to quantify an individual's scientific research output.
By M. Matzke. 2005
3,827 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c177ba654583987567377ed9d17a58f26b3580a3
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
- José M. Merigó
- Lutz Bornmann
- Hans-Dieter Daniel
- Ming-Huang Wang
- Hui-Zhen Fu
- Ole Ellegaard
- Zeshui Xu
- R. Rousseau
Citations in the corpus
- The Impact Factor Fallacy (2017, background): “…scientific excellence, the JIF also implicitly affects other measures which have been suggested to better approximate the quality of a scientist's work or of a specific study (e.g. the h-index, Hirsch, 2005 and the Relative Citation Ratio (RCR), Hutchins, Yuan, Anderson, & Santangelo, 2015).”
- A bibliometric analysis of Economic Research-Ekonomska Istraživanja (2007–2019) (2020, background): “The distribution of type, AC and H-index about publications.”
- The Matthew effect in empirical data (2014, background): “From citation distributions [104–109], co-authorship networks [98] and the formation of research teams [110,111], to the ranking of researchers [112–114] and the predictability of their success [72,115–117]—how we do science has become a science in its own right.”
- Accounting Research: A Bibliometric Analysis (2017, methodology): “However, none of them have provided a complete picture of the current state of the art, considering all the modern tools available for representing a field with bibliometric indicators (Hirsch 2005; Podsakoff et al. 2008).”
- Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, background): “Because of the rapid growth of online social networks, network analysis has evolved from earlier bibliometric analysis [226] and sociology network analysis [227] to the emerging social network analysis of the early 2000s.”
- Research-paper recommender systems: a literature survey (2015, methodology): “Some of the measures—h-index [232], co-citation strength [233] and bibliographic coupling strength [234]—have also been applied by research-paper recommender systems [13,123,”
- The bibliometric analysis of scholarly production: How great is the impact? (2015, methodology): “This is in spite of the fact that a large number of articles on different modifications of bibliometric indicators have emerged in the wake of the paper about the h-index published by Hirsch (2005).”
- Forty years of the European Journal of Operational Research: A bibliometric overview (2017, methodology): “…the total number of publications and citations, the h -index ( Alonso, Cabrerizo, Herrera- iedma, & Herrera, 2009; Franceschini & Maisano, 2010; Hirsch, 2005 ), the cites per paper, citation thresholds and some other related indicators ( Merigó, Gil-Lafuente, & Yager, 2015a; Merigó, Mas-Tur,…”
- A bibliometric analysis of leading universities in innovation research (2017, methodology): “The following Table 4 shows a comparison of the top 30 universities of each ranking as developed by Linton (2004) and Yang and Tao (2012) in relation to those presented in this paper (sorted by HI, TCI and TPI).”