1,720,959 research outputs found

    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

    Identification Of Mesoscale Convective Complex (Mcc) Using Mtsat Satellite Infrared Channel Imagery (Case Of Study: Heavy Rain Event On January 30th, 2011 In Tanjung Pinang)

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    Mesoscale Convective Complex (MCC) is a meso-scale cloud convective system characterized by large, long-lived and quasi-circular pattern. The existence of MCC may trigger extreme weather events such as heavy rains which cause floods and landslides around the center of MCC area. This paper aimed to identify the presence of a storm cloud system which was observed as the MCC. For that purpose, this study used MTSAT satellite infrared channel data by case of study of extreme rain event at Tanjung Pinang, on January 30th, 2011 which was recorded as 235.0 mm rainfall a day. Satellite data wasprocessed using image processing software and applied MCC cloud system identification algorithm based on its physical characteristics such as peak cloud temperature, coverage area, central point of cloud, cloud eccentricity and ellipse fitting, and long live of the cloud system. The final result of identification cloud system algorithm image processing analysis based on satellite data at the case of study was able to yield the coordinates location of MCC. The MCC appeared around Tanjung Pinang. This result confirmed that the occurence of heavy rain on January 30th, 2011 in Tanjung Pinang was caused by thepresence of MCC around the interest areaHlm.84-9

    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

    Author Index

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    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

    Climatology and spectral characteristics of 10-day rainfall variability in Manokwari, West Papua (1991–2022)

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    Rainfall variability in the Indo-Pacific warm pool arises from coupled interactions between the Intertropical Convergence Zone (ITCZ), the Asian-Australian monsoon, and large-scale ocean-atmosphere teleconnections. However, eastern Indonesia, particularly West Papua, remains underrepresented in climatological research. This study examined rainfall dynamics in Manokwari, West Papua, using 32 years (1991-2022) of BMKG station observations. Daily rainfall was aggregated into dekadal (10-day) totals to capture variability from intraseasonal to interannual timescales. We first characterized the annual and seasonal rainfall cycles using descriptive statistics and then diagnosed the dominant periodicities through Fast Fourier Transform (FFT) spectral analysis. To assess large-scale climate control, we quantified relationships between dekadal rainfall and key climate drivers, El Nino-Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD), and the Australian monsoon, using correlation and partial correlation analyses to isolate each driver's independent association amid overlapping signals. Together, these diagnostics establish a robust dekadal climatology for an equatorial maritime region with limited prior analysis, supporting seasonal monitoring and climate-sensitive decision making. Beyond site-specific findings, this study introduces a replicable central-local co-production approach: standardized diagnostics developed centrally are paired with locally owned station data and locally contextualized interpretation by forecasters in the field. Applied across stations, this framework can strengthen the local analytical capacity in remote regions while improving the consistency and depth of Indonesia's climate information services for adaptation and operational forecasting, with ENSO emerging as the most robust large-scale modulator in both partial-correlation and phase-composite evidence
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