Thousands of years ago in Ancient Mesopotamia there was an abundant Pantheon of gods and goddesses. Circa 3000–2300 B.C.E, separate cults started to form relating to two of these goddesses: Ninisina and Gula. They were quite similar, both associated with healing, as were several other goddesses in the area. Over time they all fused, and their names disappeared one by one, until one remained; Gula. Scholars of today often tend to see them all as one type of goddess, their names interchangeable. This essay researches Ninisina and Gula, and the intention is to see if they truly are the “same”. A number of hymns and healing spells are analysed and used to compare the goddesses. This comparison is based on three themes; “Healing”, “Praise” and “Prayer & Intention”, and finds that indeed the manner of their healing and their characters differ. The essay also discusses how central their roles as healers are. It is shown that even though healing is always mentioned in every chosen text, other traits are often emphasised more.

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.