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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

    External debt, debt overhang, crowding out effects and capital formation in Nigeria and South Africa

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    The deficiency of saving in Sub-Saharan Africa, as represented by Nigeria and South Africa has led to shortages in funding capital formation, thereby necessitating external borrowing. This has slowed down and restrained economic growth and development. The questions of external debts determinants, effects and causal relationships with capital formation are yet to be adequately responded to; mainly due to weak and nonrigorous methods employed in the previous studies. The focus has not been effective and specific. The objective of this study is fourfold; determine factors affecting external debt accumulation, examine effects of external debt on capital formation, assess impact of debt overhang and crowding out effects on capital formation and investigate causal relationships between external debt and capital formation in Nigeria and South Africa. Autoregressive distributive lag (ARDL) and Vector Autoregressive (VAR) modeling on time series data covering three decades were employed in the study. The results have established that, interest rate and external debt service are the most statistically significant variables explaining external debt accumulation scourge in the selected countries. Additionally, the study has discovered that, external debt has significant negative effects on capital formation in the same manner with debt overhang and crowding out effects. However, these impacts are proven to be more pronounced on capital formation in Nigeria than in South Africa. It is also established that external debt and capital formation Granger causes each other. The overall implication of the research findings is that speed of capital formation has been retarded by the negative effects of external debts. Measures by the government should be tailored towards improving capital formation by designing policies that will reduce the burden of debt accumulation and reducing the cost of external debt services. This can be done through enhancing the debt management process and improving efficiency in funds utilization, so as to ensure timely repayment and servicing of debts

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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    The Impacts of Oil Price and Exchange Rate on Food Prices in Nigeria

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    This empirical research examined the interconnecting relationship between oil price, exchange rate and food prices in Nigeria. The study applied annual time series data from 1972 to 2016. Autoregressive Distributed Lag (ARDL) techniques were used in the process of estimating the model. The main results disclosed that there is a long run association among the considered variables. The error correction term indicates significant negative sign. Among the two independent variables in the model, exchange rate is affecting food price more than the oil price counterpart since some of the food items are imported. The result has robust implication on policy recommendations in Nigeria. Food production has a vital role in influencing food prices in Nigeria. The Central Bank of Nigeria must consider exchange rate as a factor influencing food price in its quest for achieving inflation target. Keywords Oil price; exchange rate; food price; ARDL; Nigeria DOI: 10.7176/JESD/10-8-08 Publication date: April 30th 201

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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