Scientometric Indicators of Media Researchers in the e-library

This study extended the author's previous research in the field of scientometrics of media researchers on the topic “Mass information. Journalism. Mass media” in Russian electronic library and Russian Science Citation Index. The methodology was a census of the personalities of the first hundred authors ranked by the level of the h-index in 2020 compared to 2017, and in some aspects — from 2016. The study analyzed the changes in the h-index over the years under study, changes in the authors' geography by federal districts and cities of the Russian Federation, their academic position, the distribution of doctors and candidates of sciences in scientific majors in accordance with the awarded degree, as well as the distribution of rating personalities by actual scientific interests and taught courses in their affiliated scientific and educational organizations. The study revealed the importance of scientometric indicators for authors and scientific and educational organizations to determine their place in the academic community, the relevance of topics and authors’ research in the general academic landscape, and material incentives. At the same time, it was noted that the system of scientometric indicators is changing: perhaps the h-index the number of published works and the number of citations in the RSCI will remain as an object of research by historians of science to determine the common place of Russian (and Soviet) scientists in the science development, and in addition or to replace them there will be new indicators. One of them is the "percentile" recently introduced into the list of scientometric indicators. Studies of the values of scientometric indicators will remain relevant in the future.

The literature/science boundary in sociological articles: Using fiction to discover patterns in co-authorship, author gender, and citation rank

Sociology has been described as a ‘third culture’ between science and literature. The distinctions between different orientations in sociological writing have been studied primarily through their non-textual manifestations (publication genres or venues, methodologies used, scientometric indicators, etc.). Our knowledge of how the science–literature boundary relates to the rhetorical composition of sociological texts therefore remains limited. We mixed a bespoke corpus of Czech sociological articles with a corpus of Czech short fiction to straightforwardly account for the relationship between sociology and literature. Unsupervised classification based on the distribution of most frequent verbs yielded two categories of sociological articles. Each cluster exhibited significant association with non-textual variables. Articles less similar to literature were associated with higher rates of co-authorship, citation counts, and number of women as first authors. Both clusters also displayed clear semantic differences. The signal from literary works increased variance in the textual feature space and subsequent pseudo-experimental validation confirmed its indispensability for the discovery of the association between the rhetorical pattern of verbs usage and non-textual variables related to sociological articles.

On relations in science: the case of the scientific journal editorial board

This article analyses the connections between members of the editorial board of a scientific journal which are formed based on their reviews of scientific articles. It is shown that the connections can be represented as a graph. The research uses the data for six years of article reviewing in the scientific and technical Journal of "Almaz — Antey" Air and Space Defence Corporation.The methods of analysis are combinatorics and graph theory, as well as the relevant graph characteristics: adjacency matrix, incidence matrix, reachability matrix, graph fullness and connectivity, nearest neighbours graph and graph spanning tree.It is shown that cooperation of the reviewers of the Journal helps plot a connected graph with links between any two vertices, i.e. between any reviewers.The graph is analysed and the methods of its application to calculate the Journal’s scientometric indicators are demonstrated. As the research reveals, a journal that publishes articles in numerous disciplines forms connections between all reviewers and this parameter can be indicative of interchangeability within the scientific fields or, conversely, of a joint work in this scientific field when reviewing manuscripts. Based on the research results, it is possible to search for new reviewers in the areas where competencies are underdeveloped. And by the areas where competencies are strong, we can determine the core competence of the reviewers of a scientific journal, reflecting the main focus of the evaluated scientific research.The work resulted in the formulated scientometric indicators of the journal, which can be used to search for and involve new reviewers or to represent data on a strong team of reviewers on a specific topic, as well as on a new scientific field just emerging for research.

State Paternalism: from Science to Scientometrics

The article presents the results of the study of public opinion in the context of science reforming. The adoption of the Law on the Russian Academy of Sciences has in fact liquidated academic freedoms and consolidated state interference into scientific life by simultaneously escalating the use of Scientometrics. Respondents' assessments of the use of Scientometric indicators and journal rankings indicate that most economists do not trust the Scientometric tools. Based on the results of a sociological survey of the community of economists in 2020, the article concludes that there is a "managerial failure" of the paternalistic state. An analysis of the Scientometric indicators used in Scopus is also presented, including three well-known metrics: CiteScore", SNIP, and SCImago (SJR). In addition to the description of the sample of journals and the scale of monitoring, the author presents the criterion of ranking the journals MWR and the algorithm of its definition in comparison with the SJR indicator in Scopus. The final part of the paper discusses the econometric model based on the hypothesis that there are links between the ranking of journals, obtained on the basis of a sociological survey of economists, and the estimates of the "usefulness" of the introduction of relevant Scientometric indicators by the same respondents. The calculations performed have confirmed the formulated hypothesis and allowed to quantitatively measure the impact of the respondents' attitude to Scientometric indicators on the value of private ratings reflecting the Scientific level of the journal, the public prestige of the journal and Interest in the journal publications.

Scientometric indicators and features of evaluating the scholars’ scientific activity effectiveness using citation indices (review of domestic and foreign studies)

Topical problems of domestic and foreign science studies associated with the contradictions in evaluating the contribution of domestic scientists to the world science are considered. The erroneousness of the approaches caused by the priority evaluation of the scientific activity effectiveness of Russian scientists based on using international scientometric ratings and databases is shown. The main tools of traditional scientometrics are presented, methodological approaches to determining the researchers’ ratings based on scientometric indicators are shown. Various options for modifying the calculations of the Hirsch index values for different numbers of publications are described. It is shown that, on the basis of the considered indices, it becomes possible to evaluate a scientist’s publication activity by three ratings, namely: rating of significant works; rating of work intensity; a complex rating, including both ones. When establishing a rating, it is advisable to give preference to the index of basic publications. As a result of a comparative analysis of domestic and foreign studies, it is revealed that scientometrics is a real tool for analyzing and evaluating scientists’ activities, scientific organizations and educational institutions.

Modeling Scientometric Indicators Using A SDMX Ontology

Scientometrics is the field of study and evaluation of scientific measures such as impact of research papers and academic journals. It is an important field because nowadays different rankings use key indicators for university rankings and universities themselves use them as Key Performance Indicators (KPI). The purpose of this work is to propose a semantic modeling of scientometric indicators using the ontology Satistical Data and Metadata Exchange (SDMX). We develop a case study at Tecnologico de Monterrey following the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. We evaluate the benefits of storing and querying in a Graph Database (Neo4j) the linked data produced by our approach.

Are Latin American ecologists recognized at the world level? A global comparison

Background Ioannidis et al. (2020) reported a standardized estimate of scientific productivity obtained from a worldwide database of 6,880,389 scientists who published at least 5 papers picked up by the Scopus database, and elaborated a ranking of ca. 120,000 scientists by both whole trajectory (career-long) impact and their current impact at year 2019. The goal of our paper is to contextualize Latin American ecologists’ contribution at the world level based on the four most scientifically productive countries in the region. Methods and findings Ioannidis et al. (2020) proposed a composite index that is the sum of six scientometric indicators: (1) The number of allocites, (2) the h index, (3) a per capita corrected version of h, (4) the allocites received as single author, (5) those received as single + first author, and (6) those as single + first + last author. We selected data for ecologists from Argentina, Brazil, Chile, and Mexico and comparatively analyzed their productivity according to the proposed index. We also compared these data with those obtained from a global sample of the top ecologists worldwide. Conclusions Based on Ioannidis et al.’s proposition to evaluate scientific productivity we extract three lessons: (1) It does not pay to publish many papers; what counts is the number of allocites (i.e., self-citations do not add up). (2) Either be single, first, or last author; it does not pay to be in the middle of an authorship line. (3) Even worse it is to be among many co-authors because the proposed index allocates credits on a per capita basis.

ANALYSIS OF SCIENTIFIC METRIC INDICATORS OF THE JOURNAL "TECHNICAL ELECTRODYNAMICS" 2018-2020

The directions of development of the journal "Technical Electrodynamics" in recent years are considered, its main scientometric indicators according to Scopus data for 2020 are analyzed, their comparison with the indicators of the previous two years is made. It is noted that indicators such as SJR, percentile, international cooperation decreased, the Hirsch index and quartiles remained at the same level. Ways to improve the performance of the journal are suggested. References 6.

A Framework to Assess the Citation Performance of Complex Innovation Systems

Scientometric indicators are useful to evaluate the relevance of scientific research, to prepare rankings, and to evaluate and inform research policies. That is why the choice of appropriate indicators is a matter of primary concern. This article aims to introduce a framework to decide the appropriate type of indicator for assessing the citation-based performance of complex innovation systems. The framework is two-fold: First, it brings the methodology to decide when the use of standard average based indicators is granted, and when scale-invariant indicators are mandatory. Second, it provides the procedures to build scale-invariant indicators to assess the relative impact of complex innovation systems. The framework is validated empirically through the evaluation of the relative impact of the Chilean science system in 2017. The result suggests that the Chilean science system has characteristics of a complex innovation system such as the distribution of citations fits to a power law with an exponential cutoff −2.77±0.09 and a power-law correlation between the size of the system and its impact 1.29±0.11. Furthermore, the framework shows to be efficient to compare fields of vastly different sizes.