1990
DOI: 10.2307/2328824
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Patterns of Productivity in the Finance Literature: A Study of the Bibliometric Distributions

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Cited by 44 publications
(43 citation statements)
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“…Suas inquietações os levaram a determinar quais os trabalhos e os periódicos mais citados e se as citações presentes nos artigos estavam aumentando de número. Chun e Cox (1990) estudaram 15 periódicos na área de finanças, atingindo um total de 6.270 autores. Nesse universo, com uma frequência de 62,2% apareceram aqueles que haviam publicado apenas uma vez.…”
Section: Algumas Notas Sobre O Uso Da Bibliometriaunclassified
“…Suas inquietações os levaram a determinar quais os trabalhos e os periódicos mais citados e se as citações presentes nos artigos estavam aumentando de número. Chun e Cox (1990) estudaram 15 periódicos na área de finanças, atingindo um total de 6.270 autores. Nesse universo, com uma frequência de 62,2% apareceram aqueles que haviam publicado apenas uma vez.…”
Section: Algumas Notas Sobre O Uso Da Bibliometriaunclassified
“…An illustration of this law is given by Le Coadic (2005) to characterize the production of French researchers in chemistry. It is also verified in Economics (Cox and Chung, 1991), finance (Chung and Cox 1990), medicine (Kawamura et al 1999)... The robustness of this law is also attested by similar studies using other indexes: Combes and Linnemer (2001) focus on the number of articles weighted by the quality of journals and Courtault et al (2010, 2011) considered the distribution of the h index (Hirsch 2005).…”
Section: Introductionmentioning
confidence: 79%
“…One way to choose this dependence is to take the remuneration inversely proportional to m. 7 Indeed, the number of people having achieved a particular ranking is smaller the higher the ranking. Instead of using the cumulative distribution function as an index of ranking, it is therefore equivalent and it will prove easier to use the inverse of the distribution function.…”
Section: A Model With Rankingmentioning
confidence: 99%
“…Many studies have been done to see whether Lotka's Law holds in various disciplines. In some fields it is confirmed: an example is finance (Chung and Cox, 1990). In others an even higher exponent -3 or 3.5 -has been proposed as best fitting the data.…”
Section: [Emphasis Added]mentioning
confidence: 89%