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Biblioteks- och informationsvetenskaplig forskning i Europa : En bibliometrisk undersökning / Library and information science research in Europe : A bibliometric studyPástiné Boruzs, Mariann, Zieminska, Justyna January 2023 (has links)
This paper aims to provide an overview of trends and research growth in the field of library and information science in Europe for the period 2000–2020. Current changes and trends were analyzed based on articles published in Web of Science. The research questions are: 1. How is the development of LIS research in Europe compared to the global research output? 2. Which countries have the highest cited articles in Europe compared to the countries with the most published articles? 3. Which keywords dominate LIS research during the period 2000-2020? To answer these questions, bibliometric methods are applied, such as citation analysis and co-word analysis. The results are reported using diagrams, tables and maps that have been created using VOSviewer. The result implies that Europe is a growing LIS research community and has reached a great development in the last twenty years. Europe’s output of global LIS research has increased significantly from 25 percent articles published between 2000 and 2004 to 36 percent between 2015 and 2019. The ranking among the most published countries is: Great Britain, Spain, and Germany. However, the countries that receive the highest citations are Great Britain (37 percent of the highly cited articles), the Netherlands (15 percent) and Germany (13 percent). The leading keywords in European research between 2000 and 2019 are: impact, science, information, and technology.
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Kiš, Kish or Kiški? : A Bibliometrics study of the domain Assyriology / Kiš, Kish eller Kiški? : En bibliometrisk studie av domänen assyriologiLarsson, Olivia January 2021 (has links)
This thesis aims to examine how the domain Assyriology can be analyzed with bibliometrics. It uses the domain analytic perspective by Birger Hjørland and Hanne Albrechtsen. The metadata was collected through the Web of Science and the dataset covers the years 2016-2020 from the journals Akkadica, Journal of Near Eastern Studies, Ancient Near Eastern studies, Journal of Ancient Near Eastern Religions and Zeitschrift für Assyriologie und Vorderasiatische Archäologie. The domain was studied by analyzing citations, the documents, languages, place of publication, the age of references and the authors by visualizing patterns in figures and tables. Co-authorship analysis was used to display collaboration between countries. The content was analyzed with co-citation analysis of references and co-word analysis of title words to visualize the knowledge structures within the domain. The study found that Co-word analysis did give a general idea of different knowledge patterns but there were few clear structures. The co-citation analysis was found to reveal more clear structures though the references had a low citation rate and so might not be representative of the whole domain. It was found to be effective to use tables and figures to visualize certain aspects and patterns within the domain. In conclusion, bibliometrics was found to be effective to gain knowledge about the domain Assyriology. This is a two years master's thesis in Library and Information Science. / Den här uppsatsen ämnar att analysera hur domänen assyriologi kan analyseras med hjälp av bibliometri. Uppsatsen använder ett domänanalytiskt perspektiv av Birger Hjørland and Hanne Albrechtsen. Metadatan har samlats in från Web of Science och datasetet består material från tidsperioden 2016-2020 från tidskrifterna AkkAncient Near Eastern studies, adica, Journal of Near Eastern Studies, Journal of Ancient Near Eastern Religions and Zeitschrift für Assyriologie und Vorderasiatische Archäologie. Domänen studerades genom att analysera citeringar, materialet, språken, vart materialet publicerades, åldern på referenserna och författarna genom att visualisera mönster i figurer och tabeller. Forskningssamarbeten analyserades för att visa samarbeten mellan länder. Innehållet analyserades med en cociteringsanalys av referenser och en cowordanalys av titelord för att visualisera kognitiva strukturer inom domänen. Studien fann att cowordanalys gav en generell bild av olika kongnitiva strukturer men det fanns få tydliga strukturer. Cociteringsanalysen hittade fler tydliga strukturer men referenserna hade få citeringar och det är därmed möjligt att det inte representerar hela domänen. Det var effektivt att använda sig av tabeller och figurer för att visualisera olika aspekter inom domänen. Sammansfattningsvis, bibliometri var användart för att få nya kunskaper om domänen assyriologi.
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