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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Identifying Input Excess and Output Shortfall in the Indian Health Systems Using Non-radial Slack Based Data Development Analysis

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    We analyse the efficiency of India’s health system by assessing input excesses and output shortfalls, specifically focusing on government health expenditure, health personnel, and public hospital against the infant survival rate as output. Using time-series data from 2014-15 to 2019-20 of 21 states, our non-radial, non-oriented, Slack-Based Measure Data Envelopment Analysis (DEA) model yields an average efficiency score of 84%, highlighting significant potential for improvement. Bihar showed efficiency despite resource constraints, while Himachal Pradesh remained inefficient. These findings suggest reallocating resources to health services in underperforming states and encourage collaboration with the private sector in states like Kerala and West Bengal, which have higher private expenditure. This study uniquely employs slack-based DEA to compare India’s health system during the specified period

    Efficiency and Productivity of Public Health Expenditures in Reducing Child Mortality in Emerging Market Economies

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    In this study, we measure the efficiency and productivity of public health expenditures in improving child mortality outcomes in ten major emerging economies of the world. We use bootstrap data envelopment analysis (DEA) and the bootstrap Malmquist productivity index (MPI) to measure the progress of efficiency and productivity from 2010–2020. Furthermore, we test the statistical significance of the progress in efficiency and productivity using the Wilcoxon signed-rank test. For robustness of the efficiency and productivity estimates, we report the confidence intervals and test the statistical significance of the scores across countries. The average bias-corrected overall technical efficiency score of 0.3381 suggests that if inefficiency could be eliminated, child survival could be improved by 66% in these countries. The MPI results suggest that over the study period, on average, productivity improved for all these nations except for Saudi Arabia and South Korea. At the policy level, the study suggested that an increase in health expenditure is not sufficient to improve health outcomes unless efficiency and productivity are achieved

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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