摘要：Este trabajo analiza la productividad científica de los autores que han publicado documentos en cuatro revistas de ciencia de la información editadas en Colombia desde 1978 a 2009. Se encontraron 555 autores, de los cuales 422 (76%) publicaron un único artículo y 78 (24%) publicaron 2 o más artículos. También se identificaron 11 autores como los más productivos con 21 y 7 artículos cada uno. El número de autores observados fueron estinados con los modelos del poder inverso generalizado, Gauss Poisson inversa generalizada y Poisson lognormal por el método de la máxima probabilidad. Las pruebas de ajuste estadístico chi-cuadrado y K-S mostraron que los tres modelos se ajustan a los datos observados en este trabajo. Palabras clave Ley de Lotka. Poder inverso generalizado. Gauss poisson inversa generalizada. Poisson lognormal. Bibliometría. Cienciometría. Informetría. Authors’ productivity of colombian library and information science Abstract The scientific productivity of the authors who have published papers in four journals of library and information science from Colombia since 1978 to 2009, was analyzed. A total of 555 authors were found; 422 (76%) of them published a single article and 78 (24%) published 2 or more articles. Eleven authors were considered as the most productive with 21 and 7 articles respectively. The data was analyzed with the generalized inverse power, inverse generalized Gauss Poisson, and Poisson lognormal models by the maximum likelihood method. The statistical chi-square and K-S tests showed that the three models fit the observed data. Keywords Lotka’s law. Poisson lognormal. Generalized inverse power. Generalized inverse gauss poisson. Bibliometrics. Cienciometrics. Infometrics.
其他摘要：The scientifi c productivity of the authors who have
published papers in four journals of library and information
science from Colombia since 1978 to 2009, was analyzed.
A total of 555 authors were found; 422 (76%) of them
published a single article and 78 (24%) published 2 or more articles. Eleven authors were considered as the
most productive with 21 and 7 articles respectively.
The data was analyzed with the generalized inverse
power, inverse generalized Gauss Poisson, and Poisson
lognormal models by the maximum likelihood method.
The statistical chi-square and K-S tests showed that the
three models fi t the observed data.
关键词：Ley de Lotka;Poder inverso generalizado;Gauss Poisson inversa generalizada;Poisson Lognormal;Bibliometría;Cienciometría;Informetría
