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Willis A. Pomeroy papers
No full textWillis A. Pomeroy was a 1st lieutenant with Company C, 1st Regiment, Heavy Artillery of the Connecticut Volunteers. He was stationed at Hagerstown, Downsville, and Williamsport, Maryland, during the early days of the Civil War. This collection consists of Pomeroy's letters to members of his family during his time in Maryland as well as a general order appointing him brigade commissary. In his letters Pomeroy describes the state of his health, his need for money to purchase a horse, and his duties as brigade commissary
Willis A. Pomeroy papers, Series I, Box 1, Folder 1: Correspondence, 1861
No full textLittle is known of the life of Willis A. Pomeroy preceding the Civil War. He was the son of Chauncey Pomeroy and Eliza (Granger) Pomeroy and was born in Suffield, Connecticut on March 18, 1841. Pomeroy had two brothers, Chauncey and Arthur, and two sisters, Maria and Cornelia. Willis Pomeroy was married to Mary A. Nixon, but they had no children. Pomeroy enlisted and was mustered in on May 23, 1861 as a 1st lieutenant with "C" Company, 1st Regiment, Heavy Artillery, Connecticut Volunteers. The papers of Willis A. Pomeroy span the dates June 1861 to September 1861 and consist of correspondence and military records. There are seven letters written to various members of his family concerning his activities in the Army of the Potomac. Also included is a general order promoting him to bridge commissary with rank of captain. Complete information may be found in the finding aid to the collection at: http://hdl.handle.net/1903.1/1277
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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