Proceedings of the 21 International Conference on Science and Technology Indicators
Proceedings of the 21 International Conference on Science and Technology Indicators: Peripheries, frontiers and beyond.
14-16 September 2016
Universitat Politècnica de València
We use data on economic, management and political science journals to produce quantitative estimates of (in)consistency of evaluations based on seven popular bibliometric indicators (impact factor, 5-year impact factor, immediacy index, article influence score, h-index, SNIP and SJR). We propose a new approach to aggregating journal rankings: since rank aggregation is a multicriteria decision problem, ordinal ranking methods from social choice theory may solve it. We apply either a direct ranking method based on majority rule (the Copeland rule, the Markovian method) or a sorting procedure based on a tournament solution, such as the uncovered set and the minimal externally stable set. We demonstrate that aggregate rankings reduce the number of contradictions and represent the set of single-indicator-based rankings better than any of the seven rankings themselves.
The article examines the status system of the local academic community of St. Petersburg sociologists. The list of most cited authors was obtained from citation analysis of selected Russian sociological journals. The results suggest that the status system is divided in isolated segments with few citation exchanges between different segments. Each part of the sociological community produces its own list of influentials. With a few exceptions there are no authors central for the whole community. Even the embeddedness of various segments in the same local space does not stimulate circulation of attention between different parts of the community.
A bibliometric crisis is defined as a more or less marked decline of basic bibliometric indicators interrupting a preceding period of stable growth or stagnation. The crises of 1930–1931 and 1941–1942 revealed from the previous studies (Kozhevnikov & Petrosova, 1991) were analysed in depth on the basis of the data on the publication of biological serials in USSR from 1917 through 1949 and a set of more detailed data on selected journals covering the period from 1921 through 1958. It is shown that even though the scale of decline of 1930–1931 was comparable to that of 1941–1942, the fine structure of the two crises and their impact on the continuity of the corpus of biological serials were different. The application of the logistic growth model to the analysis of publication of scholarly serials is discussed. It is argued that, for the purposes of our analysis, momentary data are more indicative than cumulative ones.
This chapter examines bibliometric indicators related to citedness of journals, authors, research groups, institutions and whole countries. The introductory section deals with the basics of bibliometric analysis and features of citation databases. The author discusses the usage of various bibliometric indicators: the impact factor, average citedness, share of uncited papers, Eigenfactor and Article Infl uence Scores, Hirsch and Hirsch-type indices, and others. A special section investigates indicators of chronological distribution of references. Particular attention is paid to normalized indicators, including indicators normalized by research disciplines, as well as by publication sources. The fi nal section emphasizes the importance of informed and reasonable use of bibliometric indicators in research policy-making, funding allocation, and faculty and research personnel recruitment.
The goal of the conference is to help build cross-disciplinary networks of analysts, software specialists, and researchers to advance the use of textual information in multiple science, technology, and business development fields. Within this context, conference themes will include, but are not limited to:
DataSourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources
Text-mining tools and methodsBest practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc. Visualization
Applied researchFuture-Oriented Technology Analysis (FTA) Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)
Proceedings of the International Society for Informetrics and Scientometrics Conference. Indexed in Web of Science and Scopus.
The Russian Scientometric Handbook is designed to provide an overview of the field of scientometrics. The Handbook describes the history of creation of the breakthrough concept of citation indexing by Dr. Eugene Garfield, and development of the first multidisciplinary scholarly citation index, the Science Citation Index. Application of scientometric tools and methods in research management and resource allocation is discussed. Authors survey various scientometric indicators relevant to individual researchers, journals, research institutions and whole countries. Authors explore new types of indicators, such as altmetrics, relationship between scientometric indicators and the nature of scientific communication, and various methods of visualizing scientometric information. Possibilities and limitations of various scientometric techniques are examined. Authors highlight the need for an informed and reasonable approach to the use of quantitative indicators for research assessment. The Handbook includes the first Russian translations of three articles by Dr. Eugene Garfield.
The Handbook is intended for use by researchers, science analysts, universities and research institutions administrators, libraries and information centers staff, graduate students, and the general public interested in scientometrics and research evaluation.
Research evaluation recently became a widely disseminated exercise aimed in the end of the day at improving the cost efficiency of public funding of national R&D sectors. In November 2013, the Government of the Russian Federation initiated a national evaluation exercise of public research institutions (PRIs) to provide information basis for development of S&T policies aimed at increasing effectiveness and strengthening the role of R&D performing institutions in economic and social development. The aim of this paper is that of providing an approach for multidimensional assessment of R&D performance based on quantitative data derived from the national evaluation exercise, specifically looking at its applicability and limitations for further analysis and preliminary differentiation of PRIs as well as for use in policymaking.
In 2006, Russia amended its competition law and added the concepts of ‘collective dominance’ and its abuse. This was seen as an attempt to address the common problem of ‘conscious parallelism’ among firms in concentrated industries. Critics feared that the enforcement of this provision would become tantamount to government regulation of prices. In this paper we examine the enforcement experience to date, looking especially closely at sanctions imposed on firms in the oil industry. Some difficulties and complications experienced in enforcement are analysed, and some alternative strategies for addressing anticompetitive behaviour in concentrated industries discussed.