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ACKNOWLEDGEMENTS
No full textFirst and foremost, I would like to convey my sincere gratitude to Prof. Abhijit Chatterjee for the opportunity, invaluable guidance and constant support towards my Ph.D. degree. I would like to thank him for his advice on various other professional aspects during my PhD years, which has helped me shape and sharpen my disposition. I would like to thank the members of m
Date Approved: [April 3rd, 2007] To my sons,
No full text“Now faith is being sure of what we hope for and certain of what we do not see.” iv (Hebrews 11:1) I would like to thank God for his help and guidance in my life at Georgia Institute of Technology. I would like to thank my advisor, Linda Milor for exhibiting immeasurable patience and superior guidance during the course of my graduate work. I would also like to thank the committee members of my thesis, Dr. Gary May, Dr. David Keezer, Dr. Abhijit Chatterjee, and Dr. Thomas Morley for their comments and suggestions. I would like to thank my colleagues in the Semiconductor Test and Yiel
ACKNOWLEDGMENTS
No full textwould like to convey my sincere gratitude to Prof. Abhijit Chatterjee for his invaluable guidance throughout this research. His deep insight and versatile ideas provided an excellent I for research and learning. I will always remain indebted to him for his constant encouragement and support that helped me to complete this thesis. I would also like to thank ground members of my dissertation committee, Prof. Madhavan Swaminathan, Prof. David Keezer, Prof. John Papapolymerou, and Prof. Shamkant Navathe for providing insightful the on my research. I am greatly indebted to Dr. Soumendu Bhattacharya, for his time and selfless effort in feedback care of the final examination related logistics on my behalf. Thanks are also due to Dr. P. N. Variyam, Dr. S. Chakraborty, and J. Ridley (Texas Instruments); G. Srinivasan, S. S. taking and D. H. Han (Georgia Tech), for their valuable suggestions on various aspects o
Test Response Features Approved by:
No full text“We make a living by what we get, but we make a life by what we give.” Norman McEwan.... to my parents, Purnendu and Sampriti Bhattacharya and my wife, Ananya, without whom I would have never achieved my dreams... Acknowledgements As Lord Krishna narrated to Arjuna, “karmanyebadhikaraste, maa faleshu kadachana; maa karmafalahetur bhur, maa te sadgostaba akarmani (One has only the ability to perform the work, but has no control over the outcome; so, do not get tempted in the consequences of your work, nor should one leave work as well)”, he gave him as well as the mankind the greatest lessons of all. This has always inspired me to do something in my life. I thank God, The Almighty for his blessings and pray to him for his continued benevolence throughout the rest of my life. It is with my sincerest gratitude that I thank my advisor, Dr. Abhijit Chatterjee, who has been a constant source of inspiration and support throughout the course of my stay at Georgia Tech. His guidance and advice has helped me shape my career towards a positive direction of my life
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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