Thesis (Ph. D.)--Texas Woman's University, 1990. / Vita. Includes bibliographical references (leaves 163-176).

Thesis (Ph. D.)--Texas Woman's University, 1990. / Vita. Includes bibliographical references (leaves 163-176).

Thesis (Ph. D.)--University of Notre Dame, 2006. / Thesis directed by Philip E. Mirowski for the Department of Economics. "April 2006." Includes bibliographical references (leaves 290-299).

Fu, Zhengjia. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 107-116). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts also in Chinese.

Thesis (M.S.)--Mississippi State University. Department of Psychology. / Bibliography: leaves 68-72. Also available via the World Wide Web.

One of the legacies of the apartheid system was the discrepancy in funding and support for various activities, including research work in science and technology based on racial grounds. Some institutions of higher learning and research institutes were favoured more than others in terms of resources. Presently, despite the fact that there is national democracy, previously disadvantaged institutions with their culture of minimal research and poor publication output continue to produce inadequate quantities of research and publications while the historically developed universities are at the forefront of research and publication.This research is a bibliometric study of the publication patterns of South African scientists. The subjects were academic scientists from ten selected universities of the Eastern Cape, Western Cape and KwaZulu Natal, which vary considerably, with regard to standards of education, quantity of publications, development and overall progress. The general purpose of this study was to investigate the patterns used by scientists in publishing the results of their research, provide valuable information and play a significant role in evaluating the research and publication patterns of scientists from these different institutions The study collected two sets of data through lists of publications and a questionnaire. The questionnaire was pretested and the comments of the respondents enabled the investigator to make the necessary revisions in the subsequent questionnaire. The questionnaire was sent to 350 full-time academic scientists in the departments of physics, chemistry, botany, zoology and biochemistry / microbiology in the selected universities. Out of the 350 scientists, 174 responded. Twenty one returns were discarded, hence only 153 were used in the data analysis. Further data was obtained from the Science Citation Index and the Foundation for Research Development. Data were analysed using descriptive statistics, one way ANOVA and Pearson Chi-Square test. The results obtained in this study showed that the five null hypotheses were rejected. It was found that there was a : - • direct relation between academic rank and productivity; academic status and productivity. • direct relation correlation between prestige and productivity. • higher impact of "A" grade scientists over non-"A" grade scientists. • significant difference in productivity between areas of science that are funded and areas which receive little or no funding. / Thesis (Ph.D.)-University of Natal, Pietermaritzburg, 1998.

Thesis (MSc)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: Citation analysis is an important tool in the academic community. It can aid universities, funding bodies, and individual researchers to evaluate scientific work and direct resources appropriately. With the rapid growth of the scientific enterprise and the increase of online libraries that include citation analysis tools, the need for a systematic evaluation of these tools becomes more important. The research presented in this study deals with scientific research output, i.e., articles and citations, and how they can be used in bibliometrics to measure academic success. More specifically, this research analyses algorithms that rank academic entities such as articles, authors and journals to address the question of how well these algorithms can identify important and high-impact entities. A consistent mathematical formulation is developed on the basis of a categorisation of bibliometric measures such as the h-index, the Impact Factor for journals, and ranking algorithms based on Google’s PageRank. Furthermore, the theoretical properties of each algorithm are laid out. The ranking algorithms and bibliometric methods are computed on the Microsoft Academic Search citation database which contains 40 million papers and over 260 million citations that span across multiple academic disciplines. We evaluate the ranking algorithms by using a large test data set of papers and authors that won renowned prizes at numerous Computer Science conferences. The results show that using citation counts is, in general, the best ranking metric. However, for certain tasks, such as ranking important papers or identifying high-impact authors, algorithms based on PageRank perform better. As a secondary outcome of this research, publication trends across academic disciplines are analysed to show changes in publication behaviour over time and differences in publication patterns between disciplines. / AFRIKAANSE OPSOMMING: Sitasiesanalise is ’n belangrike instrument in die akademiese omgewing. Dit kan universiteite, befondsingsliggams en individuele navorsers help om wetenskaplike werk te evalueer en hulpbronne toepaslik toe te ken. Met die vinnige groei van wetenskaplike uitsette en die toename in aanlynbiblioteke wat sitasieanalise insluit, word die behoefte aan ’n sistematiese evaluering van hierdie gereedskap al hoe belangriker. Die navorsing in hierdie studie handel oor die uitsette van wetenskaplike navorsing, dit wil sê, artikels en sitasies, en hoe hulle gebruik kan word in bibliometriese studies om akademiese sukses te meet. Om meer spesifiek te wees, hierdie navorsing analiseer algoritmes wat akademiese entiteite soos artikels, outeers en journale gradeer. Dit wys hoe doeltreffend hierdie algoritmes belangrike en hoë-impak entiteite kan identifiseer. ’n Breedvoerige wiskundige formulering word ontwikkel uit ’n versameling van bibliometriese metodes soos byvoorbeeld die h-indeks, die Impak Faktor vir journaale en die rang-algoritmes gebaseer op Google se PageRank. Verder word die teoretiese eienskappe van elke algoritme uitgelê. Die rang-algoritmes en bibliometriese metodes gebruik die sitasiedatabasis van Microsoft Academic Search vir berekeninge. Dit bevat 40 miljoen artikels en meer as 260 miljoen sitasies, wat oor verskeie akademiese dissiplines strek. Ons gebruik ’n groot stel toetsdata van dokumente en outeers wat bekende pryse op talle rekenaarwetenskaplike konferensies gewen het om die rang-algoritmes te evalueer. Die resultate toon dat die gebruik van sitasietellings, in die algemeen, die beste rangmetode is. Vir sekere take, soos die gradeering van belangrike artikels, of die identifisering van hoë-impak outeers, presteer algoritmes wat op PageRank gebaseer is egter beter. ’n Sekondêre resultaat van hierdie navorsing is die ontleding van publikasie tendense in verskeie akademiese dissiplines om sodoende veranderinge in publikasie gedrag oor tyd aan te toon en ook die verskille in publikasie patrone uit verskillende dissiplines uit te wys.