Essays Of An Information Scientist 1962 1973

Can the methods of science be directed toward science itself? How did it happen that scientists, scientific documents, and their bibliographic links came to be regarded as mathematical variables in abstract models of scientific communication? What is the role of quantitative analyses of scientific and technical documentation in current science policy and management? Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics answers these questions through a comprehensive overview of theories, techniques, concepts, and applications in the interdisciplinary and steadily growing field of bibliometrics. Since citation indexes came into the limelight during the mid-1960s, citation networks have become increasingly important for many different research fields. The book begins by investigating the empirical, philosophical, and mathematical foundations of bibliometrics, including its beginnings with the Science Citation Index, the theoretical framework behind it, and its mathematical underpinnings. It then examines the application of bibliometrics and citation analysis in the sciences and science studies, especially the sociology of science and science policy. Finally it provides a view of the future of bibliometrics, exploring in detail the ongoing extension of bibliometric methods to the structure and dynamics of the World Wide Web. This book gives newcomers to the field of bibliometrics an accessible entry point to an entire research tradition otherwise scattered through a vast amount of journal literature. At the same time, it brings to the forefront the cross-disciplinary linkages between the various fields (sociology, philosophy, mathematics, politics) that intersect at the crossroads of citation analysis. Because of its discursive and interdisciplinary approach, the book is useful to those in every area of scholarship involved in the quantitative analysis of information exchanges, but also to science historians and general readers who simply wish to familiarize them

This new ASIST monograph is the first to comprehensively address the history, theory, and practical applications of citation analysis, a field which has grown from Garfield's seed of an idea, and to examine its impact on scholarly research forty years after its inception. In bringing together the analyses, insights, and reflections of more than thirty-five leading lights, editors Cronin and Atkins have produced both a comprehensive survey of citation indexing and its applications and a beautifully-realized tribute to Eugene Garfield and his vision, in honor of his seventy-fifth birthday.

Originally published in 1985, Problem Solving and Intelligence was the result of the author’s efforts to understand the nature of human intelligence and the differences in the cognitive functioning of individuals which we observe again and again. The book contains two types of material. First it presents an overview of major contributions to the conceptualization and investigation of problem solving and intelligence, which was derived from the extensive, largely non-cumulative literature at the time. Second it reports a comprehensive, empirical study of the manifestation of intelligence in problem solving. The subject matter was at the interface of three traditional areas of psychological inquiry: namely, the study of cognitive processes, individual differences, and the characteristics of the stimulus. What was innovative is that intellectual performance is investigated in relation to the simultaneous operation of variables from these dimensions. The book was intended, primarily, as a contribution to the understanding and investigation of the nature of intelligent behavior, as well as an introduction to intelligence and problem solving. Today it can be read and enjoyed in its historical context.

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to the data boom. The phenomenon of data growth in science pushes forth as the number of scientific papers published doubles every 9–15 years, and the need for methods and tools to understand what is reported in scientific literature becomes evident. As the number of academicians and innovators swells, so do the number of publications of all types, yielding outlets of documents and depots of authors and institutions that need to be found in Bibliometric databases. These databases are dug into and treated to hand over metrics of research performance by means of Scientometrics that analyze the toil of individuals, institutions, journals, countries, and even regions of the world. The objective of this book is to assist students, professors, university managers, government, industry, and stakeholders in general, understand which are the main Bibliometric databases, what are the key research indicators, and who are the main players in university rankings and the methodologies and approaches that they employ in producing ranking tables. The book is divided into two sections. The first looks at Scientometric databases, including Scopus and Google Scholar as well as institutional repositories. The second section examines the application of Scientometrics to world-class universities and the role that Scientometrics can play in competition among them. It looks at university rankings and the methodologies used to create these rankings. Individual chapters examine specific rankings that include: QS World University Scimago Institutions Webometrics U-Multirank U.S. News & World Report The book concludes with a discussion of university performance in the age of research analytics.

This book has been written with a view to understand the validity of the perceptions of Open Access (OA) e-journals in the Library and Information Science (LIS) field. Using relevant OA journals this book presents and evaluates journals qualitatively and quantitatively. Over the last three hundred years scholarly journals have been the prime mode of transport in communicating the scholarly research process. However in the last few decades, a changing scenario has been witnessed in their form and format. OA is an innovative idea that attracts a fair amount of support and opposition around the world because it bridges the gap between digitally divided scholars by solving the pricing and permission crises that have imbalanced the scholarly communication process. Some scholars are of the opinion that OA has led to a chaotic environment where anyone can publish anything. Scholarly Communication in Library and Information Services records, in detail, the impact by accessing the journals’ web site qualitatively and quantitatively in measuring the important elements such as articles, authors, countries, subjects and cited references. Finally, the book calculates the impact factor using synchronous and asynchronous approaches. First ever study to extensively evaluate LIS Journals’ Web site qualitatively by using a newly developed set of criteria LIS OA journals are also evaluated quantitatively Counts citations of LIS OA articles in terms of formal citations by using Google Scholar

Human Language Technology (HLT) and Natural Language Processing (NLP) systems have typically focused on the “factual” aspect of content analysis. Other aspects, including pragmatics, opinion, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion. Various conceptual models and computational methods are presented. The models explored in this book include the following: distinguishing attitudes from simple factual assertions; distinguishing between the author’s reports from reports of other people’s opinions; and distinguishing between explicitly and implicitly stated attitudes. In addition, many applications are described that promise to benefit from the ability to understand attitudes and affect, including indexing and retrieval of documents by opinion; automatic question answering about opinions; analysis of sentiment in the media and in discussion groups about consumer products, political issues, etc. ; brand and reputation management; discovering and predicting consumer and voting trends; analyzing client discourse in therapy and counseling; determining relations between scientific texts by finding reasons for citations; generating more appropriate texts and making agents more believable; and creating writers’ aids. The studies reported here are carried out on different languages such as English, French, Japanese, and Portuguese. Difficult challenges remain, however. It can be argued that analyzing attitude and affect in text is an “NLP”-complete problem.