Ranking Journals in Economics, Management and Political Sciences by the Threshold Aggregation Procedure
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.
Tech Mining, a special form of “Big Data” analytics, aims to generate Competitive Technical Intelligence (CTI) using bibliometric and text-mining software (e.g., VantagePoint, TDA) as well as other analytical & visualization applications for analyses of Science, Technology & Innovation (ST&I) information resources. The goal of the conference is to ENGAGE cross-disciplinary networks of analysts, software specialists, researchers, policymakers, and managers toADVANCE the use of textual information in multiple science, technology, and business development fields. The conference program will address key CHALLENGES in:
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)
This conference is intended for researchers and students across multiple fields, especially Scientometrics, Public Policy, Management of Technology and Information Science.
Highly cited scientific papers by Russian authors are studied. A definition of highly cited papers based on the interpretation provided by the Essential Science Indicators database is presented; the number of highly cited Russian papers is analyzed against the background of global indices and the disciplinary distribution of these papers is explored. It is shown that in all scientific areas the share of Russian papers that become highly cited is below world average. The impact of coauthorship with foreign scientists on the creation of highly cited papers is investigated. It is concluded that international collaboration has a key role in the related process.
The paper contains a review of the on-line services’ contemporary state, which are providing access to scientific data bases of patents and publications in magazines. On the example of a family of screen’s technologies (CRT, LCD, PDP) were shown the development and the replacement of technological trends in that branch of researches. This analysis was performed on the base of time series of the patent data via methods of the data mining.
This article analyzes the effects of publication language on the international scientific visibility of Russia using the Web of Science (WoS). Like other developing and transition countries, it is subject to a growing pressure to “internationalize” its scientific activities, which primarily means a shift to English as a language of scientific communication. But to what extent does the transition to English improve the impact of research? The case of Russia is of interest in this respect as the existence of many combinations of national journals and languages of publications (namely, Russian and English, including translated journals) provide a kind of natural I experiment to test the effects of language and publisher's country on the international visibility of research through citations as well as on the referencing practices of authors. Our analysis points to the conclusion that the production of original English-language papers in foreign journals is a more efficient strategy of internationalization than the mere translation of domestic journals. If the objective of a country is to maximize the international visibility of its scientific work, then the efforts should go into the promotion of publication in reputed English-language journals to profit from the added effect provided by the Matthew effect of these venues.
In the current context of the globalization of science, excellence is most often associated with internationalization and assessed through high-impact “international” (English-language) publications. Taking Russian economic science as a case study, this paper argues that the strategies of internationalization of national disciplinary fields are primarily determined by the parameters of the global economics itself. My analysis of the Russian publications in economics covered by Web of Science demonstrates that the very repertoire of international publication strategies of Russian authors is determined by the transnational system of communication in economics. Economics papers from peripheral nations are essentially assigned to regional or “area studies” periodicals, which do not belong to the core of the discipline. Publication in top economics journals requires a specific “international” competency usually obtained through doctoral training at Anglo-American or equivalent PhD programs and generally implies a delocalization of research objects and questions.
Gender disparities persist in several areas of society, and scientific research is no exception. Differences between men and women in science appear in terms of productivity, speciality, collaboration and scientific impact (Larivière et al., 2013). Although the position of women in Western society has improved greatly in the last century, numerous studies confirm that gender disparities in science remain, including in the United States (Xie & Shauman, 2003), Québec (Larivière et al., 2011), Russia (Lewison & Markusova, 2011), Poland (Suchanska & Czerwosz, 2013), Italy (Abramo, D’Angelo & Caprasecca, 2009) and France (De Cheveigné, 2009). This study seeks to describe the evolution of the place of female researchers in Russia, taking into account the socioeconomic, political and historic context of the country, which was marked by the fall of the USSR in 1991.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.