Advanced bibliometric analysis of computer-controlled local anesthesia research in pediatric dentistry incorporating productivity laws and network analysis. [PDF]
Kargu EC, Akçay HÇ.
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Mapping the global research landscape of mitophagy in Parkinson's disease: a bibliometric and visualization analysis. [PDF]
Zhao J, Wang Q, Cao Y, Shan H, Xu S.
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Estimation of key indicators for bibliometric analysis in the applications of artificial intelligence in rheumatology. [PDF]
Polyzou M, Baraliakos X.
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Trends on Strategies for Mitigation of Antibiotic Residues in Milk and Dairy Products Based on Scientometric Analysis and Systematic Review. [PDF]
Simbine-Ribisse EO +5 more
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Front-of-package food labeling and noncommunicable disease prevention: A comprehensive bibliometric analysis of three decades. [PDF]
Singh A, Singh A, Bhattacharya S.
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Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement. [PDF]
Li X, Jing C, Gong Z, Zhang J, Zhang S.
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Author inflation leads to a breakdown of Lotka's law
AbstractIt is empirically shown that, even using the normal or total counting procedure, Lotka's law breaks down when articles with a large, i.e., more than hundred, number of authors are included in the bibliography. The explanation of this phenomenon is that the conditions for an application of the basic success‐breeds‐success model are not fulfilled
Hildrun Kretschmer, Ronald Rousseau 0001
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A new short proof of Naranan's theorem, explaining Lotka's law and Zipf's law
AbstractNaranan's important theorem, published in Nature in 1970, states that if the number of journals grows exponentially and if the number of articles in each journal grows exponentially (at the same rate for each journal), then the system satisfies Lotka's law and a formula for the Lotka's exponent is given in function of the growth rates of the ...
EGGHE, Leo, Leo Egghe
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Related searches:
Lotka's law and institutional productivity
Information Processing & Management, 1998The present study aims at determining the applicability of Lotka's law, negative binomial distribution and lognormal distribution for institutional productivity, in the same way as it is to authors and their productivity in the field of engineering sciences and the patents filed by industrial firms in laser S&T.
Suresh Kumar +2 more
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