1,720,978 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
High-resolution Satellite-based Modeling and Assessment of Gross Primary Production over Agroecosystems for Precision Agriculture
No full textSustainable agriculture stands at the forefront of the global sustainable development strategic goals (SDGs), targeting the needs of increasing production to meet the growing food demands and to ensure profitability for producers, while maintaining affordability for consumers. Central to this endeavor is the precise monitoring of crop health, growth, vegetation productivity, water usage, and yield forecasting—each vital for enhancing productivity and optimizing resource allocation. Yet, addressing this strategic SDG is challenging given the big gap between industry applications and academic research: commercial methods often lack scientific rigor, while academic models are marred by complex, impractical parametrizations.
This dissertation bridges this gap by providing a potential solution with strong scientific rigor and high scalability potential for easy commercial applicability. Initially, this work examined the biophysical components and links that explain the changes in Gross Primary Production (GPP) and Transpiration(T)—key indicators of vegetation growth, vegetation carbon capture, crop productivity, and water use in crop ecosystems. The analysis of these variables highlighted their critical role in agroecosystems and the potential benefits of using the Vegetation Photosynthesis Model (VPM) and Vegetation Transpiration Model (VTM) to estimate GPP and T respectively. The study evaluated the efficacy of high spatial resolution (HSR) satellite imagery compared to moderate spatial resolution (MSR) data as input in estimating GPP and T across various high-value crops, underscoring the potential of VPM and VTM in precision agriculture. Then, the research investigated the VPM_GPP estimates as a viable proxy for yield forecasting, addressing the challenges inherent in crop models and the limitations of remote sensing-based approaches. Through extensive testing across multiple agroecosystems, the findings revealed the VPM model's capacity to deliver accurate, scalable, and actionable insights into crop monitoring, field productivity variability, and yield predictions. Finally, the dissertation extended beyond theoretical models to practical application, engaging with over 170 industry stakeholders to align the technology evaluated in this document with their needs. This interaction ensures that the proposed solution is not only scientifically sound but also of tangible value to the agricultural sector, facilitating the transition of academic advancements into commercial viability. In essence, this work not only contributes to the academic discourse on sustainable agriculture, reducing the gap in knowledge about a robust method to estimate GPP_VPM-HSR, T_VTM, and a simpler accurate approach for yield forecasting, but also paves the way for its real-world implementation, fostering agricultural resilience and food security
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought
No full textDrought affects vegetation photosynthesis and growth.Many studies have used the normalized difference vegetation
index (NDVI), which is calculated as the normalized ratio between near infrared and red spectral bands in
satellite images, to evaluate the response of vegetation to drought. In this study, we examined the impacts of
drought on three vegetation indices (NDVI, enhanced vegetation index, EVI, and land surface water index,
LSWI) and CO2 flux from three tallgrass prairie eddy flux tower sites in the U.S. Gross primary production
(GPP) was also modeled using a satellite-based Vegetation Photosynthesis Model (VPM), and the modeled
GPP (GPPVPM) was compared with the GPP (GPPEC) derived from eddy covariance measurements. Precipitation
at two sites in Oklahoma was 30% below the historical mean in both years of the study period (2005–2006),
while the site in Illinois did not experience drought in the 2005–2007 study period. The EVI explained the seasonal
dynamics of GPP better than did NDVI. The LSWI dropped below zero during severe droughts in the growing
season, showing its potential to track drought. The result shows that GPP was more sensitive to drought than
were vegetation indices, and EVI and LSWI were more sensitive than NDVI. We developed a modified function
(Wscalar), calculated as a function of LSWI, to account for the effect of severe droughts on GPP in VPM. The GPPVPM
from the modified VPM accounted for the rapid reduction in GPP during severe droughts and the seasonal
dynamics of GPPVPM agreed reasonably wellwith GPPEC. Our analysis shows that 8-day averaged values (temperature,
vapor-pressure deficit) do not reflect the short-termextreme climate eventswell, suggesting that satellitebased
models may need to be run at daily or hourly scales, especially under unfavorable climatic conditions
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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