Computer Science

A comprehensive bibliometric analysis of the scientific production of Chemical Engineering area has been carried out using the Web of Science database for the period 2000-2011 through three complementary studies. Part 3 has analyzed the distribution of words in article titles, keyword plus and author keywords of both total scientific production and the 1,000 most cited publications. The main areas of Chemical Engineering have been identified; they are mainly related to chemical reaction engineering such as catalysis, reactors, kinetics, and unit operations such as adsorption. Furthermore, a total of ten hotspots in the area have been identified: hydrogen as a new energy vector, wastewater treatments, carbon dioxide (capture and sequestration), photocatalysis, nanoparticles, biodiesel, nanotubes, ionic liquids, advanced oxidation processes, membranes, fuel cells and the use of biomass as raw material (e.g. bioethanol, energy production, etc.). Results obtained suggest thematic areas and research trends can be easier analyzed through the most cited publications, decreasing significantly the time necessary for these analyses. Words in article title, keyword plus and author keywords are complementary, however, author keywords are suggested as the source of most useful data. Compared to other strategies, the author keywords are more valuable for identifying research areas and trends, and the total number of words to be analyzed is lower. Whatever the case, authors recommend a revision of the results obtained by experts in the area to avoid inaccurate results and get the most meaningful information.

A comprehensive bibliometric analysis of Chemical Engineering area has been carried out through the analysis of the scientific production covered in Web of Science during the period 2000-2011. Three complementary studies have been carried out. Part 1 analyzes total scientific production in the area. An important displacement of the scientific production to the Far East has occurred, mainly by the increase in publications from China (the world most productive country since 2008) but also from countries such as India and Iran. Although the share of publications from Europe, and especially from North America, have been decreased significantly, United States is still the country with the highest number of articles among the 1,000 most cited (31.5%), followed by Germany (8.4%) and China (7.5%). Switzerland, Italy, Netherlands, Singapore and Spain outstands as the countries with the highest number of cites per article and year and average impact factors of their publications. The international collaboration in the area is considerably high, especially within European countries (>40% publications are in international collaboration). The scientific production of the area is concentrated in a few journals (top 10 journals publishing around 30% publications and top 25 journals, around 50%) and publishers (Elsevier, Wiley-Blackwell, Taylor & Francis and the American Chemical Society). The countries with the highest number of institutions among the top 100 most productive are China and United States (12 each), followed by France (9), Japan (7) and United Kingdom (7). The top five institutions were from France, China, India, United States and Russia.

We carry out a thorough bibliometric analysis of recent publications in mathematics based on the database Web of Science. The individual relations between various features and the citations are provided, and the importance of the features is investigated with decision trees. The evolution of the features over a period of 10 years is also studied. National and international collaborations are scrutinized, but personal information are fully disregarded.

Nationally oriented scientific-scholarly journals are considered from a methodological-informetric viewpoint, analysing data extracted from Scimago Journal Rank based on Scopus. An operational definition is proposed of a journal's degree of national orientation based on the geographical distribution of its publishing or citing authors, and the role of international collaboration and a country's total publication output. A comprehensive analysis is presented of trends up until 2019 in national orientation and citation impact of national journals entering Scopus, extending outcomes in earlier studies. A method to analyse national journals of given countries is applied to the set of former USSR republics and Eastern and Central European states which were under socialism, distinguishing between domestic and foreign national journals. The possible influence is highlighted of factors related to a journal's access status, publication language and subject field, international scientific migration and collaboration, database coverage policies, the size of a national research community, historical-political factors and national research assessment and funding policies.

An important issue in bibliometrics is the weighing of co-authorship in the production of scientific collaborations, which are becoming the standard modality of research activity in many disciplines. The problem is especially relevant in the field of high-energy physics, where collaborations reach 3000 authors, but it can no longer be ignored also in other domains, like medicine or biology. We present theoretical and numerical arguments in favour of weighing the individual contributions as 1/ N α aut where N aut is the number of co-authors. When counting citations we suggest the exponent α≈1 , that corresponds to fractional counting. When counting the number of papers we suggest α≈1/3−1/2 , with the former (latter) value more appropriate for larger (smaller) collaborations. We expect and verify that the h index scales as the square root of the average number of co-authors, and define a fractionalized h index that does not scale with collaboration size.

Scholars in science and technology studies and bibliometricians are increasingly revealing the performative nature of bibliometric indicators. Far from being neutral technical measures, indicators such as the Impact Factor and the h-index are deeply transforming the social and epistemic structures of contemporary science. At the same time, scholars have highlighted how bibliometric indicators are endowed with social meanings that go beyond their purely technical definitions. These social representations of bibliometric indicators are constructed and negotiated between different groups of actors within several arenas. This study aims to investigate how bibliometric indicators are used in a context, which, so far, has not yet been covered by researchers, that of daily newspapers. By a content analysis of a corpus of 583 articles that appeared in four major Italian newspapers between 1990 and 2020, we chronicle the main functions that bibliometrics and bibliometric indicators played in the Italian press. Our material shows, among other things, that the public discourse developed in newspapers creates a favorable environment for bibliometrics-centered science policies, that bibliometric indicators contribute to the social construction of scientific facts in the press, especially in science news related to medicine, and that professional bibliometric expertise struggles to be represented in newspapers and hence reach the general public.

The Library of Saint Peter in Gallicantu has had an eventful history and different phases of classification. It was constituted by the contribution of various private libraries of Religious of the Holy Land. Its history is intimately linked to the Assumptionist presence in Jerusalem. The computerization work carried out from 2018 onwards made it possible to clarify the classification framework based on Dewey's decimal classification and to use the databases - Wikidata, VIAF - to improve the BNF catalogue.

A biography of a person is the detailed description of several life events including his education, work, relationships, and death. Wikipedia, the free web-based encyclopedia, consists of millions of manually curated biographies of eminent politicians, film and sports personalities, etc. However, manual curation efforts, even though efficient, suffers from significant delays. In this work, we propose an automatic biography generation framework BioGen. BioGen generates a short collection of biographical sentences clustered into multiple events of life. Evaluation results show that biographies generated by BioGen are significantly closer to manually written biographies in Wikipedia. A working model of this framework is available at this http URL.

Power systems are growing rapidly, due to the ever-increasing demand for electrical power. These systems require novel methodologies and modern tools and technologies, to better perform, particularly for communication among different parts. Therefore, power systems are facing new challenges such as energy trading and marketing and cyber threats. Using blockchain in power systems, as a solution, is one of the newest methods. Most studies aim to investigate innovative approach-es of blockchain application in power systems. Even though, many articles published to support the research activities, there has not been any bibliometric analysis which specifies the research trends. This paper aims to present a bibliographic analysis of the blockchain application in power systems related literature, in the Web of Science (WoS) database between January 2009 and July 2019. This paper discusses the research activities and performed a detailed analysis by looking at the number of articles published, citations, institutions, research areas, and authors. From the analysis, it was concluded that there are several significant impacts of research activities in China and the USA, in comparison to other countries.

We study international mobility in academia, with a focus on the migration of published researchers to and from Russia. Using an exhaustive set of over 2.4 million Scopus publications, we analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996-2020. The migration of researchers is observed through the changes in their affiliation addresses, which altered their mode countries of affiliation across different years. While only 5.2% of these researchers were internationally mobile, they accounted for a substantial proportion of citations. Our estimates of net migration rates indicate that while Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years. These findings suggest that the current trends in scholarly migration in Russia could be better framed as brain circulation, rather than as brain drain. Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia. Our analysis on the subject categories of publication venues shows that in the past 25 years, Russia has, overall, suffered a net loss in most disciplines, and most notably in the five disciplines of neuroscience, decision sciences, mathematics, biochemistry, and pharmacology. We demonstrate the robustness of our main findings under random exclusion of data and changes in numeric parameters. Our substantive results shed light on new aspects of international mobility in academia, and on the impact of this mobility on a national science system, which have direct implications for policy development. Methodologically, our novel approach to handling big data can be adopted as a framework of analysis for studying scholarly migration in other countries.