Evaluation Of Research By Scientometric Indicators, The

Description:
Reviews the principles, methods and indicators of scientometric evaluation of information processes in science and assessment of the publication activity of individuals, teams, institutes and countries. The book provides scientists, science officers, librarians and students with basic and advanced knowledge on evaluative scientometrics. Key features include: written by a highly knowledgeable and well-respected scientist in the field; provides practical and realistic quantitative methods for evaluating scientific publication activities of individuals, teams, countries and journals; and gives standardized descriptions and classification of the main categories of evaluative scientometrics. Readership include: Researchers, practitioners and students, both at undergraduate and postgraduate level in scientometrics, library and information sciences or science policy, as well as scientists who are interested in information processes in science and science policy.

Table of Contents:
Definition, classification and application of the indicators of evaluative scientometrics; Eminence indicators for publications of individuals, teams and journals & the pros and cons; The real significance of the widely debated Garfield (Impact) Factor; Bibliometric features of scientific fields - how scientometric indicators are influenced; Standardization of scientometric indicators within and between different fields; The frequency and strength of motives toward referencing; the Reference Threshold Model; Relations of relative impact indicators - how to calculate Relative Subfield Citedness from the Relative Publication Strategy and Relative Citation Rate; Cumulative advantage or disadvantage: Matthew effect or Invitation Paradox, or both; One, two, three, or more indicators or composite indexes; how the Occam's principle works in scientometrics; Institutionalization of scientific information - how information turns into knowledge; the ISI-S Model; Relationships between science and economy - whether economic development depends on science or, science depends on economic development; Summary of the main ideas, models, relationships, indicators described; The possible future of evaluative scientometrics.

Author Biography:
Dr. Vinkler is Scientific Secretary of the Chemical Research Center, Budapest and Director of the Scientific Publication Data Centre of the Hungarian Academy of Sciences. He worked as Head of the Biocomplex Research Department of the Chemical Research Center for several years. He has published extensively on scientometrics and information science, primarily on the indicators used for the evaluation of publication activities of individuals and teams. He serves as Associate Editor of Scientometrics and regularly reviews publications also for the Journal of Informetrics and Journal of the American Society for Information Science and Technology. In 2009 he was awarded the Derek de Solla Price Medal for his outstanding contributions to the field of quantitative studies of science.