1,723,642 research outputs found
Bryan L. Sykes' Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Bryan L. Sykes' Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
1960 -- Correspondence, Miscellaneous -- letter, 1960-09-01
No full textLetter from Milburn, Bryan L. to Sabin, Albert B. dated 1960-09-01.Sabin Collection Fair Use Policy</a
On Multipartite Tournament Matrices with Constant Team Size
No full textKirkland, Steve; Shader, Bryan L.. (1992). On Multipartite Tournament Matrices with Constant Team Size. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1803
Convertible, Nearly Decomposable and Nearly Reducible Matrices
No full textShader, Bryan L.. (1992). Convertible, Nearly Decomposable and Nearly Reducible Matrices. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1833
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
Strong hall matrices
No full textBrualdi, Richard A.; Shader, Bryan L.. (1991). Strong hall matrices. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1797
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