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Bibliometrične analize na področju računalniške grafike
ID Sajovic, Irena (Author), ID Boh Podgornik, Bojana (Mentor) More about this mentor... This link opens in a new window, ID Gabrijelčič Tomc, Helena (Comentor)

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Abstract
Namen doktorske disertacije je bil z bibliometričnimi metodami raziskati in analizirati področje računalniške grafike za vsebine, ki obsegajo tematiko vizualizacij v računalniški grafiki (VRG). Uporabili smo novejša pristopa v študijah raziskovalnih področij – analizo učinkovitosti v kombinaciji s kartiranjem znanosti. Poizvedbe in zajem podatkov smo izvedli v podatkovni zbirki Scopus, s kombiniranim iskanjem po naslovih in izvlečkih dokumentov, z iskalno zahtevo (TITLE-ABS (visual*) OR TITLE-ABS (vizual*)) AND (TITLE-ABS (graphic*)). Poizvedba za časovno obdobje 1984 do 2020 z omejitvijo na znanstvene članke in konferenčne zbornike je priklicala 37.632 zadetkov, ki smo jih uporabili kot izhodiščni podatkovni set. Z analizo učinkovitosti smo ugotavljali število dokumentov in trende števila objav, umeščenost področja VRG v raziskovalna področja Scopus, najbolj citirane dokumente, najproduktivnejše avtorje ter revije (vire) z največ objavami ter najproduktivnejše države. Intelektualno, družbeno in vsebinsko strukturiranosti področja VRG smo raziskali z metodo kartiranja znanosti. Za osnovne statistične analize smo uporabili program Microsoft Excel in odprtokodno prosto dostopno orodje za bibliometrične analize SciMAT, ki smo ga uporabili tudi pri tvorbi tezavrov. Orodje MapInSeconds (mapinseconds.com) smo uporabili za prikaz globalne geografske porazdelitve dokumentov. Bibliometrične analize in vizualizacijo rezultatov smo izvedli s programom VOSviewer, s katerim smo izdelali karte sopojavljanja ključnih besed in pojmov iz naslovov in izvlečkov dokumentov za prikaz vsebinske strukturiranosti področja, karte neposrednega citiranja, socitiranja in bibliografskega združevanja za prikaz intelektualne strukturiranosti področja ter karte soavtorskih analiz za prikaz družbene strukturiranosti področja. Vsebinsko strukturo področja VRG, njegov časovni razvoj ter raziskovalne trende smo proučili s sobesedno analizo ključnih besed ter pojmov iz naslovov in povzetkov dokumentov. Z analizo citiranosti smo ugotovili najvplivnejša raziskovalna področja, avtorje in vire na področju VRG, z analizo socitiranja temeljna dela na področju VRG oz. »intelektualno bazo« raziskovanega področja, z analizo bibliografskega združevanja pa raziskovalne trende na področju VRG. S soavtorsko analizo smo prepoznali vzorce sodelovanja med raziskovalci na področju VRG. Rezultati analiz in njihova interpretacija so potrdili vseh 5 raziskovalnih hipotez in odgovorili na zastavljena raziskovalna vprašanja. Omogočili so nov vpogled v obstoječe znanstvene raziskave na področju VRG, kar predstavlja izviren znanstveni prispevek na področju grafike z uporabo bibliometričnih metod. V praksi omogočajo rezultati opravljene študije raziskovalcem na področju VRG uvide pri ugotavljanju raziskovalnih trendov, umestitvi njihovih raziskav v obstoječa raziskovalna področja, pridobivanju novih idej za izvirne raziskave, ugotavljanju vzorcev sodelovanja med raziskovalci, inštitucijami in državami ter iskanju možnosti za povezovanje, pa tudi pri iskanju ustreznih literaturnih virov za proučevanje in objavljanje raziskovalnih rezultatov.

Language:Slovenian
Keywords:bibliometrične metode, kartiranje znanosti, analiza učinkovitosti, sobesedna analiza, analiza citiranja, analiza socitiranja, analiza bibliografskega združevanja, soavtorska analiza
Work type:Doctoral dissertation
Organization:NTF - Faculty of Natural Sciences and Engineering
Year:2022
PID:20.500.12556/RUL-137982 This link opens in a new window
Publication date in RUL:07.07.2022
Views:1136
Downloads:91
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Secondary language

Language:English
Title:Bibliometric analyses in the field of computer graphics
Abstract:
The aim of this dissertation was to investigate the field of visualisations in computer graphics (VCG), using a bibliometric performance analysis and science mapping. The search query ((TITLE-ABS (visual*) or TITLE-ABS (vizual*)) and TITLE-ABS (graphic*) was performed in the Scopus database. The search was limited to the time period from 1984 to 2020 and to scientific articles and conference papers as document types. 37.632 documents were retrieved and used as the base dataset for further analyses. Performance analyses were conducted to assess the number and time trends of publications; the position of VCG in Scopus research areas, the most prolific authors, sources, and countries; and the documents with the highest impact. The intellectual, social and conceptual structure of the VCG field was examined using the science mapping method based on bibliographic networks. Microsoft Excel and the SciMAT tool were used for basic statistical analyses. SciMAT was also used for preprocessing to create thesaurus files. MapInSeconds (mapinseconds.com) was used to display the global geographic distribution of documents. The bibliometric analyses and visualisation of the results were performed with the VOSviewer software, which was used to create, visualise and explore the bibliographic maps of (a) the co-occurrence of keywords / terms from the titles and abstracts of documents to show the conceptual structure of the VCG field, (b) direct citations, co-citations and bibliographic coupling relations among documents, authors, sources and cited references to show the intellectual structure of the field, and (c) the co-authorship relations among authors, countries and institutions to show the social structure of the VCG field. The conceptual structure of the VCG field, its evolution over time and research trends were examined through a co-word analysis of keywords and concepts from the titles and abstracts of the documents. A citation analysis was used to identify the most influential research areas, authors and sources in the VCG field, a co-citation analysis was applied to identify the foundational documents or »intellectual base« of the field, and bibliographic coupling was used to identify research trends in the VCG field. A co-authorship analysis was used to identify patterns of collaboration among researchers, countries and institutions in the VCG field. The results of the analyses and their interpretation confirmed all 5 research hypotheses and answered the research questions. The study provided new insights into existing scientific research in the field of VCG, representing an original scientific contribution to the field of graphic arts through the application of bibliometric methods. In practical terms, the results of the study provide insights for VCG researchers to identify research trends, position their research within the existing research areas, generate new ideas for original research, identify patterns of collaboration among researchers, institutions and countries, and find opportunities for networking, as well as identify relevant literature sources for studying and publishing research findings.

Keywords:bibliometric methods, science mapping, performance analysis, co-word analysis, direct citation, co-citation analysis, bibliographic coupling, co-author analysis

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