7 resultados para Scientometrics

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Many discussions have enlarged the literature in Bibliometrics since the Hirsch proposal, the so called h-index. Ranking papers according to their citations, this index quantifies a researcher only by its greatest possible number of papers that are cited at least h times. A closed formula for h-index distribution that can be applied for distinct databases is not yet known. In fact, to obtain such distribution, the knowledge of citation distribution of the authors and its specificities are required. Instead of dealing with researchers randomly chosen, here we address different groups based on distinct databases. The first group is composed of physicists and biologists, with data extracted from Institute of Scientific Information (IS!). The second group is composed of computer scientists, in which data were extracted from Google-Scholar system. In this paper, we obtain a general formula for the h-index probability density function (pdf) for groups of authors by using generalized exponentials in the context of escort probability. Our analysis includes the use of several statistical methods to estimate the necessary parameters. Also an exhaustive comparison among the possible candidate distributions are used to describe the way the citations are distributed among authors. The h-index pdf should be used to classify groups of researchers from a quantitative point of view, which is meaningfully interesting to eliminate obscure qualitative methods. (C) 2011 Elsevier B.V. All rights reserved.

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In this work, an analysis of scientific bibliographic productivity was made using the Faculdade de Filosofia e Ciencias, Universidade Estadual Paulista (FFC-UNESP) as example. It is composed by nine departments which offer altogether nine undergraduate courses: 1) Archival, 2) Library, 3) Speech Therapy, 4) Pedagogy, 5) International Relations, 6) Physiotherapy, 7) Occupational Therapy, 8) Philosophy, 9) Social Sciences and six graduate programs leading to M. S. and Ph.D. degrees. Moreover, when analyzing the different courses of FFC-UNESP, they represent typical academic organization in Brazil and Latin America and could be taken as a model for analyzing other Brazilian research institutions. Using data retrieved from the Lattes Plataform database (Curriculum Lattes) we have quantitatively the scientific productivity percentage of professors at UNESP. We observed that bibliometric evaluations using the Curriculum Lattes (CL) showed that the professors published papers in journal are not indexed by ISI and SCOPUS. This analysis was made using: 1) the total number of papers (indexed in Curriculum Lattes database), 2) the number of papers indexed by Thomson ISI Web of Science database and SCOPUS database, and 3) the Hirsch (h-index) by ISI and SCOPUS. Bibliometric evaluations of departments showed a better performance of Political Science and Economics Department when compared to others departments, in relation total number of papers (indexed in Curriculum Lattes database). We also analyzed the academic advisory (Master's Thesis and Ph. D. Thesis) by nine departments of FFC/UNESP. The Administration and School Supervision Department presented a higher academic advisory (concluded and current) when compared to the others departments.

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A relevant factor in the growth of academic productivity in the second half of 20th century is the implementation of the internet, particularly in developing countries. One of the first networks in Brazil is the Academic Network at Sao Paulo (ANSP), a regional network implemented in the state of Sao Paulo, which contains the largest concentration of researchers in the country. This study presents a unique metric for analyzing the impact of ANSP in academic productivity in the state of Sao Paulo. We correlate academic production and available bandwidth using Fisher ideal price index with suitable variables to evaluate the impact of the internet on research centers and universities. We find that the members of ANSP show a steady growth in academic productivity compared with other institutions outside of the ANSP network. These results suggest that policies which increase available bandwidth can positively affect academic productivity.

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The number of citations received by authors in scientific journals has become a major parameter to assess individual researchers and the journals themselves through the impact factor. A fair assessment therefore requires that the criteria for selecting references in a given manuscript should be unbiased with regard to the authors or journals cited. In this paper, we assess approaches for citations considering two recommendations for authors to follow while preparing a manuscript: (i) consider similarity of contents with the topics investigated, lest related work should be reproduced or ignored; (ii) perform a systematic search over the network of citations including seminal or very related papers. We use formalisms of complex networks for two datasets of papers from the arXiv and the Web of Science repositories to show that neither of these two criteria is fulfilled in practice. By representing the texts as complex networks we estimated a similarity index between pieces of texts and found that the list of references did not contain the most similar papers in the dataset. This was quantified by calculating a consistency index, whose maximum value is one if the references in a given paper are the most similar in the dataset. For the areas of "complex networks" and "graphenes", the consistency index was only 0.11-0.23 and 0.10-0.25, respectively. To simulate a systematic search in the citation network, we employed a traditional random walk search (i.e. diffusion) and a random walk whose probabilities of transition are proportional to the number of the ingoing edges of the neighbours. The frequency of visits to the nodes (papers) in the network had a very small correlation with either the actual list of references in the papers or with the number of downloads from the arXiv repository. Therefore, apparently the authors and users of the repository did not follow the criterion related to a systematic search over the network of citations. Based on these results, we propose an approach that we believe is fairer for evaluating and complementing citations of a given author, effectively leading to a virtual scientometry.

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O objetivo do presente trabalho foi analisar/quantificar a produtividade científica dos docentes pertencentes à Universidade de Estadual Paulista (UNESP), campus de Marília/SP. Para cada professor, analisamos o número total de artigos na plataforma Lattes, no ISI Web of Science e no SCOPUS. Além disso, verificamos o total de livros publicados, capítulos de livros publicados e orientações em Programas de Pós-Graduação (PPG). A análise dos nove departamentos da Faculdade de Filosofia e Ciências (FFC) mostrou que o Departamento de Ciências Políticas e Econômicas possui uma média elevada (21,42) de artigos na Plataforma Lattes, quando comparado aos outros departamentos. Entretanto, o Departamento de Fonoaudiologia apresentou médias mais altas em artigos indexados pelo ISI (2,61) e SCOPUS (4,39), bem como o índice-h, nessas plataformas. Em relação aos programas de pós-graduação, o Departamento de Administração e Supervisão Escolar foi o que apresentou a maior média de orientações em andamento e/ou concluídas. O desempenho mais baixo, em relação aos artigos publicados pelo ISI e SCOPUS, pelos departamentos na área de Humanas/Humanidades pode estar associado às características do campo da concentração e da cobertura limitada do banco de dados ISI e SCOPUS, indicando que o índice-h é muito sensível ao campo de concentração.

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O estudo da dinâmica de constituição de uma rede visa identificar que tipos de eventos ocorreram nas conexões entre os nós que levaram a formação da estrutura atual da rede em análise. Entender esses eventos é entender as formas específicas e estratégias de conectividade que deram origem a rede. O presente trabalho tem por objetivo analisar esses eventos geradores com foco específico em redes de colaboração científica, considerando relações de coautoria e participação em bancas de defesas de teses e dissertações. Analisando mais de 11.000 documentos específicos da área das Ciências da Comunicação, propomos dois tipos característicos de eventos que pretendem explicar a dinâmica de formação das redes em análise.