1,721,902 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Feasibility Investigation of MR Elastomer to Improve Seismic Performance of Base-Isolated Structures
In this study, the performance of a newly proposed smart base isolation system employing Magneto-Rheological Elastomers (MREs) is numerically evaluated. The MREs are the smart material of which elastic modulus and stiffness can be changed by applying magnetic field to them. To verify the efficacy of the proposed MRE-based isolation system, an extensive numerical simulation study has been performed using a six degree-of-freedom structure under several historical earthquake excitations. The results show that the proposed system could successfully improve the seismic performance of base-isolated structures
Variations on the Author
“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
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
Managing Irrigation Water by Yield and Water Productivity Assessment of a Rice-Wheat System Using Remote Sensing
Rice and wheat are very important grain crops and are heavily grown in lands between the Ravi and Chenab Rivers in Pakistan.
Because rice is generally cultivated under standing water conditions, careful estimation of actual water consumption and crop water
productivity (CWP) is key for proper water management. In the current study, an effort is made to estimate actual evapotranspiration (ETa
)
by using the soil and energy balance algorithm (SEBAL), which used the moderate-resolution imaging spectroradiometer (MODIS) satellite
with a spatial resolution of 1,000 m. Rice and wheat crop dominance areas were identified by using the ISODATA crop classification technique by utilizing MODIS normalized difference vegetation index (NDVI) 250 m resolution data. Crop-specific ETa
was masked out both for
rice and wheat, and this information was utilized with crop yield for estimation of CWP. Tehsil administrative-level crop-yield data were
collected and extrapolated to model crop yield on a pixel basis by benefiting from crop yields and specific NDVI empirical relationships.
Study results showed a variation of ETa(402–780 and 244–328 mm), yield (823–2,596 and1,287–3,646kg=ha), and CWP (0.14–0.56 and
0.54–1.44kg=m3
) for rice and wheat, respectively. Best results were attained for rice in tehsil Hafizabad with a coefficient of variation in
CWP of 7.94%. Most of the other tehsils showed higher variability of approximately 16%. The primary cause of lower CWP for rice crop
in these tehsils is higher values of ET
a
(i.e., greater than 600 mm), which is ideal for maximizing CWP in the study region. For the wheat
crop, because water consumption is almost similar in all parts and CWP is primarily variable owing to yield differences, this suggested
minimum scope for CWP improvement by water management for wheat. Crop cultivation expenditures can be reduced both for rice
and wheat by proper application and management of water and fertilizer
Transition toward a sustainable future: Exploring the role of green investment, environmental policy, and financial development in the context of load capacity factor in G-7 countries
Environmental sustainability holds evident significance since it is intricately connected with attaining sustainable development. However, the pre-requisite of ecological sustainability is the higher ratio of biodiversity to ecological footprint, called the Load Capacity Factor (LCF). Literature is quite scant on the drivers of LCF and the study in hand is the attempt to find the viable policy instruments of this important sustainability indicator. For this purpose, the study has explored the role of green investment (GI), environmental policy (EP), financial development (FD), and natural resources rent (NRR) in the context of the load capacity curve (LCC) hypothesis for G-7 countries from 1990 to 2019. Considering the co-dependence among economies, the study has employed a Cross-sectional Dependence Autoregressive Distributive Lag (CS-ARDL) technique to investigate the impact of each variable along with other econometric techniques. The observed outcomes suggest that green investment and environmental policy stringency both contribute to improving environmental quality by increasing LCF. Whereas financial development and natural resources rent significantly, reduce the LCF and enhance environmental degradation. Additionally, the findings also validate the LCC hypothesis in the G-7 context. The study advocates the need for green investment and policy stringency to achieve ecological sustainability and adequate consideration to transform financial development toward sustainability. Finally, the study has presented in-depth ecological solutions so that G-7 economies can take possible action to acquire the targets set in COP26
Dispelling the Myths Behind First-author Citation Counts
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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