9,194 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Marine ecosystem model analysis using data assimilation
No full textNumerical modelling of the marine ecosystem requires the aggregation of diverse chemical and biological species into broad categories. To avoid large bias errors it is preferable to resolve as many explicit state variables and processes as possible. The cost of this increased complexity is greater uncertainty in model parameters and output. When comparing models, the importance of quantifying both bias error and the variability of unconstrained solutions was revealed as two marine ecosystem models were calibrated to data. Results demonstrated that all prior parameter information must include realistic error estimates if model uncertainty is to be quantified. Five simple ecosystem models were calibrated to observations from two North Atlantic sites; the Bermuda Atlantic Time-series Study (BATS) and the North Atlantic Bloom Experiment (NABE). Model-data mists were reduced by between 45 and 50%. The addition of model complexity (a parameterised microbial loop, a variable chlorophyll a to nitrogen ratio and dissolved organic nitrogen) led to larger improvements in model performance at BATS relative to NABE. Calibrated parameter values developed at NABE performed better than the default parameter values when applied at BATS. Solutions developed at BATS performed worse than the default values at NABE. The models lacked sufficient ecological complexity to function well at BATS. Errors in the model were masked by errors in the calibrated parameters and the models did not perform well with regard to independent data. The models were well suited to reproducing the NABE data, and the calibrated models performed relatively well at BATS. The models were sensitive to the underlying physical forcing. Although the ecosystem models were originally calibrated within a poor representation of the physical environment at BATS, results from experiments using an improved physical model support the conclusion that the ecosystem models lacked the required complexity at that site
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Andrew D. White Professors-At-Large lectures.
No full textRecorded in Ithaca, NY by Cornell University., Sponsored by: Andrew D. White Professors-At-Large Program., Speaker(s): Well-known author., Reading, March 27, 1985.43 minutesWelty reads her short story, The Wide Net.1_1b7n8g9v1_hknzm40
Session 5-D: Special Session
No full textReflections on the Movie Prince Caspian - Michael Ward
Michael Ward reflects on Andrew Adamson\u27s recent feature film version of Prince Caspian. Did it succeed as a movie? Did it succeed as an adaptation? How did it compare with The Lion, the Witch and the Wardrobe, and what are the prospects for filming of The Voyage of the Dawn Treader
The Life of the Author: D. H. Lawrence
No full textThe Life of the Author: D. H. Lawrence is a focused exploration of the whole of the author’s life and writing career. Combining biographical detail and close readings of works in different genres, the book illuminates the complexities of Lawrence’s writing through a careful, questioning approach to biographical sources and recent scholarship. Andrew Harrison provides original insights into Lawrence’s relationship to working-class experience, his anti-suffragist feminist views, his reaction to the Great War, his responses to racial and cultural difference, his attitudes towards sex, sexuality, and sexual identity, and much more
Utilisation of turbidity as an indicator for biochemical and chemical oxygen demand
No full textAbstract not availableLe Anh Tu Nguyen, Andrew James Ward, David Lewi
Managing the woodlands of the Mt. Lofty Region, South Australia
No full textDavid C. Paton, Nigel Willoughby, Daniel J. Rogers, Matthew J. Ward, Joel R. Allan and Andrew Westhttp://www.publish.csiro.au/pid/6440.ht
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