1,720,958 research outputs found
Abordarea scientometrică în determinarea rolului științei în dezvoltarea socioeconomică a societății
No full textThis study investigates the relationship between scientific advancement and socioeconomic progress using a scientometric methodology. The research examines publication activity and the Science Development Index (SDI) in different countries, utilizing statistical methods to evaluate the reciprocal impact of science and socioeconomic metrics, namely the Human Development Index (HDI). The results demonstrate a significant, nonlinear association between SDI and HDI, emphasizing the essential role of international cooperation and funding in fostering scientific development. The study emphasizes the importance of scientometric indicators in informing policy-making and fostering sustainable socioeconomic progress.Acest studiu investighează relația dintre progresul științific și dezvoltarea socioeconomică utilizând o metodologie scientometrică. Cercetarea examinează activitatea de publicare și indicele de dezvoltare științifică (SDI) în diferite țări, utilizând metode statistice pentru a evalua impactul reciproc al științei și al indicatorilor socioeconomici, și anume indicele de dezvoltare umană (HDI). Rezultatele demonstrează un nivel de corelare semnificativ și neliniar între SDI și HDI, subliniind rolul esențial al cooperării și finanțării internaționale în dezvoltarea științifică. Studiul subliniază importanța indicatorilor scientometrici în fundamentarea elaborării politicilor și în promovarea progresului socioeconomic durabil
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Interdependence between science and socio-economic development. EU, CIS, Republic of Moldova
Full text linkIn this work the interdependence between the level of science development in a society and the level of socio-economic development is studied using scientometrics based on the information model of science. In this model the science is seen as a global information process and the analysis is based on Human Development Report and the Scopus database. The correlation values between Human Development Index and Science Development Index in EU countries, CSI members and Moldova, in special for countries without energy resources, denote that there is direct positive interdependence between science development and socio-economic development of a country, although it cannot be determined if HDI or SDI is the primary parameter. According to the results obtained the positive reverse connection “science development level – socio-economic development level - science development level” should be considered. Taking into consideration that the Republic of Moldova lacks any energy resources, it is very important for decision makers of the country to get wise to the causes and possible consequences of the insufficient funding of the science.In this work the interdependence between the level of science development in a society and the level of socio-economic development is studied using scientometrics based on the information model of science. In this model the science is seen as a global information process and the analysis is based on Human Development Report and the Scopus database. The correlation values between Human Development Index and Science Development Index in EU countries, CSI members and Moldova, in special for countries without energy resources, denote that there is direct positive interdependence between science development and socio-economic development of a country, although it cannot be determined if HDI or SDI is the primary parameter. According to the results obtained the positive reverse connection “science development level – socio-economic development level - science development level” should be considered. Taking into consideration that the Republic of Moldova lacks any energy resources, it is very important for decision makers of the country to get wise to the causes and possible consequences of the insufficient funding of the science
SCIENTOMETRIC APPROACH IN DETERMINING THE ROLE OF SCIENCE IN SOCIOECONOMIC DEVELOPMENT OF SOCIETY
Full text linkThis study investigates the relationship between scientific advancement and socioeconomic progress using a scientometric methodology. The research examines publication activity and the Science Development Index (SDI) in different countries, utilizing statistical methods to evaluate the reciprocal impact of science and socioeconomic metrics, namely the Human Development Index (HDI). The results demonstrate a significant, nonlinear association between SDI and HDI, emphasizing the essential role of international cooperation and funding in fostering scientific development. The study emphasizes the importance of scientometric indicators in informing policy-making and fostering sustainable socioeconomic progress
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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