117,348 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
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Letter from unknown writer to Jesse L. Boyce
No full textLetter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County
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
Sarah L. Blum Author Visit - Warrior Nurse: PTSD and Healing
No full textHear Sarah L. Blum, author of Women Under Fire: Abuse in the Military, discuss her newest book, Warrior Nurse: PTSD and Healing followed by a Q&A and book signing.
Sarah L. Blum is a decorated Vietnam veteran who served as an operating room nurse during the intense fighting of 1967. In recognition of her service, she was awarded the Army Commendation Medal.
Sponsored by CWU Veterans Center and CWU Libraries.https://digitalcommons.cwu.edu/libraryevents/1252/thumbnail.jp
Lillian L. Lambert, Author, Speaker, and Entrepreneur
No full textLillian L. Lambert, Author, Speaker, and Entrepreneu
Letter to Alfred L. Shoemaker, February 10, 1948
No full textA handwritten letter from an unknown author addressed to Alfred L. Shoemaker, dated February 10, 1948. Within, the author discusses the Pennsylvania Dutch word for Ash Wednesday, along with traditions associated with this day.https://digitalcommons.ursinus.edu/shoemaker_documents/1118/thumbnail.jp
Review of \u3ci\u3eTogether We Can: Pathways to Collective Leadership in Agriculture at Texas A&M.\u3c/i\u3e By Edward A. Hiler and Steven L. Bosserman.
No full textEdward Hiler\u27s leadership journey through a series of major administrative positions at Texas A&M is a story of collective leadership, as told by Hiler himself, and framed by organizational and leadership strategist Steve Bosserman. This brief, highly readable, and provocative book illustrates the philosophical and operational essences of collective leadership. The shifting demographic, economic, ecological, and sociopolitical realities of Texas and the Great Plains called for optimizing the contributions of Texas A&M and other institutions of higher education in addressing critical issues. Hiler, ever the visionary, saw the power of an inclusive, egalitarian, shared leadership style that allowed diverse constituencies to take ownership of both issues and proposed solutions. The import of Hiler\u27s work, however, ranges far beyond the Great Plains; it applies to strengthening organizational development and leadership in land-grant universities and higher education nationally
An evaluation of the applicability of the EPA Organic Leachate Model to leaching of solvent and non-solvent wastes
No full textThe author evaluated the applicability of the Environmental Protection Agency's Organic Leachate Model to wastes containing organic solvents and other organic compounds ("non-solvents"), and determined that the model tends to overestimate the leaching of organic solvents and other organic compounds. Furthermore, when evaluated for its ability to predict leaching of organic compounds, the model was found to predict the leaching of organic solvent compounds with some accuracy, with a correlation coefficient (R²) of 0.671 for this subset of the data. The model's ability to predict the leaching of non-solvent organic compounds, however, was found to be poor, yielding an R² of 0.388 for this subset of the data. The author also investigated the effect that organic solvents have on the leaching of other organic compounds in a waste and found that the presence of solvents increases the potential for leaching among the non-solvent compounds. This conclusion was drawn when the average "leachability ratio", or the ratio of leachate concentration to waste concentration for non-solvent compounds in solvent-bearing waste was found to be nearly four times the average leachability ratio for non-solvent compounds in wastes that did not contain organic solvents. Finally, the author modified the Organic Leachate Model to account for the unique properties of organic solvents in an effort to improve the model's accuracy in predicting the leaching of solvents and other compounds in solvent-bearing wastes. The results of this modelling effort produced an improvement in the predictive ability of the model for both solvents and non·solvents, yielding correlation coefficients (R²) of 0.678 for the subset of data represented by organic solvents, and 0.431 for non-solvents) but the improvement was still not sufficient to justify applying the model to non-solvent compounds.Master of Scienc
- …
