Bibliometric analysis of visualizations in computer graphics : a study

Sajovic, Irena (avtor), Boh Podgornik, Bojana (avtor)

This study examined the field of visualizations in computer graphics (VCG) using bibliometric methods, including performance and science mapping analysis. A dataset of documents from SCOPUS, 1986 to 2019, was analyzed and visualized using VOSviewer. The results showed an increasing trend of new documents in VCG. The five most cited publications were all related to data visualization software. The most prolific authors, examined by Citation per Paper (CPP) and Relative Citation Impact (RCI), contributed to research advances in computer graphics, information visualization, interactive data analysis, human computer interfaces, and visualization software development. A document source analysis identified the major scientific journals and conference proceedings in VCG research, and showed that researchers in VCG tend to publish extensively in conference proceedings, but that articles in scientific journals have a higher citation impact. A co-citation analysis of cited sources revealed seven clusters of thematically similar sources in computer science, genomics, neuroimaging, physics & chemistry, mathematics, education, and communication. Co-authorship analysis of countries pointed out collaboration networks in scientific research, where the USA, UK, Germany, France, and Italy collaborated most frequently. Collaborations were fostered by the same language group, or the geographical proximity. The co-occurrence of research terms showed six clusters of related concepts, thematically grouped around search queries, graphical processing, education, genetics, scientific numerical data, and medicine. The study contributed to a better understanding of the field and is expected to help researchers and educators identify research areas, developments, quality scientific literature, and appropriate journals for publishing their own findings related to VCG.

• Jezik: Angleški jezik
• Ključne besede: bibliometric analysis, science mapping, visualization, computer graphics, data processing and interpretation, research methods, social sciences, information users, information science, social sciences
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: NTF - Naravoslovnotehniška fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: 17 str.
• Številčenje: Vol. 12, iss. 1
• PID: 20.500.12556/RUL-144165
• UDK: 004.92
• ISSN pri članku: 2158-2440
• DOI: 10.1177/21582440211071105
• COBISS.SI-ID: 94652675
• Datum objave v RUL: 02.02.2023

SAJOVIC, Irena in BOH PODGORNIK, Bojana, 2022, Bibliometric analysis of visualizations in computer graphics : a study. SAGE open [na spletu]. 2022. Vol. 12, no. 1. [Dostopano 8 april 2025]. DOI 10.1177/21582440211071105. Pridobljeno s: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=slv&id=144165

Gradivo je del revije

• Naslov: SAGE open
• Založnik: SAGE Publications
• ISSN: 2158-2440
• COBISS.SI-ID: 2586967

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: bibliometrija, grafika, vizualizacije

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: University of Ljubljana
• Številka projekta: 704–8/2016–214

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0213
• Naslov: Tekstilije in ekologija