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Unveiling the Research Landscape of the Metaverse in Asia
Singh, et al
Unveiling the Research Landscape of the Metaverse in Asia
Dileep Kumar Singh
Sameera Khan
Narsee Monjee Institute of Management Studies
Hyderabad
Information Technology
Vardhaman College of Engineering, Hyderabad
Mrudula Nimbarte, Shrikrishna Dhale
S B Jain Institute of Technology Management and Research
Nagpur
ABSTRACT
In order to give a thorough picture of the current state and trends within this burgeoning discipline, this report
presents a bibliometric analysis of the Metaverse research environment in Asian nations. A sizable corpus of
academic works on the Metaverse was extensively examined using bibliometric methods with help of VOS viewer
and R Package- Bibliometrix, providing information on publishing output, teamwork dynamics, and topic focus.
The results show that Asian nations have an increasing interest in the Metaverse, with a consistent rise in research
output over time. Research efforts in the region were sparked by contributions from nations including China,
Japan, and South Korea. It was discovered that collaborative efforts were common, with international partnerships
significantly contributing to knowledge transfer and the development of the area. Virtual reality, augmented reality,
virtual worlds, immersive technologies, and social interactions within the Metaverse were among the primary topics
of concentration within the Asian Metaverse research landscape that were identified through thematic analysis.
These results serve as a resource for academics and policymakers interested in improving the development and use
of the Metaverse and offer insightful information on the research goals and directions in Asian nations.
KEYWORDS : Metaverse, Bibliometric, Content analysis, Cluster analysis, Bibliographic coupling
INTRODUCTION
U
sers can interact with a computer-generated
environment and with others in real-time
in the metaverse, a virtual reality setting.
It creates an immersive and linked digital realm by
fusing aspects of virtual reality, augmented reality,
and the internet. The metaverse provides a variety
of opportunities for social interaction, virtual world
exploration, digital asset trade, gaming, and commercial
dealing(Yang, 2023). Companies are investigating the
metaverse’s possibilities in many industries as a result
of technological advancements, which have increased
interest in it. Technical difficulties, ethical issues,
privacy concerns, standardisation, and equal access
are all problems, nevertheless(Schöbel & Leimeister,
2023).
In order to address these issues and comprehend how
the metaverse affects behaviour, identity, job, and social
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interactions(Syuhada et al., 2023). In order to create the
metaverse as an inclusive environment that improves
human experiences, stimulates creativity, cooperation,
and meaningful relationships, interdisciplinary
research in computer science, virtual reality, sociology,
economics, and philosophy is being done(Zalan &
Barbesino, 2023). The ultimate objective is t o develop
a digital environment that is transformational and
advantageous to both people and society(JosephNg
et al., 2023).The introduction of the metaverse
has generated a great deal of attention and debate
throughout the world and revolutionised the way we
engage with digital surroundings and connect with one
another (JosephNg et al., 2023). This virtual world has
grabbed both academics and business experts because
to its immersive experiences, augmented reality, and
interconnection (Buhalis et al., 2023). Examining the
metaverse’s development and effects in various parts of
the world is more important than ever as it continues
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Unveiling the Research Landscape of the Metaverse in Asia
to develop and pick up steam(Kar & Varsha, 2023).
This study presents a thorough survey of the current
literature and research initiatives within this dynamic
and quickly growing subject with a particular focus
on the bibliometric analysis of the metaverse in Asian
nations(Uyar et al., 2020). This study uses bibliometric
methods to examine the academic environment,
pinpoint significant contributors, and highlight new
metaverse-related trends and patterns in Asian nations
(Quarles et al., 2023).
Asian nations have been in the forefront of embracing
and implementing cutting-edge technology because of
their reputation for technical achievements and vibrant
digital ecosystems(Dolata & Schwabe, 2023). Asian
countries have taken a major role in determining the
metaverse’s future thanks to their various technology
landscapes and rich cultural history(Zabel et al., 2023).
This work aims to give useful insights into the regional
research environment and throw light on the many
elements of metaverse development and utilisation in
this setting by exploring the bibliometric analysis of the
metaverse in Asian nations(Weking et al., 2023).
This study will map the research trajectory, identify
significant authors and institutions, and analyse the
thematic clusters that have emerged within the metaverse
discourse in Asian nations through a thorough analysis
of scholarly articles, conference papers, and other
pertinent publications (Reig-Mullor et al., 2022). This
study also aims to highlight the interdisciplinary nature
of metaverse research, emphasising the social sciences,
virtual reality, gaming, and other relevant fields that
contribute to the comprehension and development of
the metaverse concept(Goldberg & Schär, 2023).
This article intends to present a thorough overview
of the metaverse environment in Asian nations using
bibliometric analysis, laying the groundwork for future
research, policy development, and strategic decisionmaking (Kraus et al., 2023). The results of this study
may serve as a roadmap for academics, government
officials, and business leaders interested in discovering
knowledge gaps, pursuing cooperative possibilities,
and utilising the metaverse’s potential in Asian
contexts(Dwivedi et al., 2023).
In conclusion, this study offers a bibliometric analysis of
the metaverse in Asian nations with the goal of providing
a comprehensive picture of the academic landscape and
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Singh, et al
insightful information on the developments, trends,
and consequences of the metaverse phenomena in this
dynamic area (Fang et al., 2023). We hope that our indepth analysis will add to the corpus of knowledge and
promote a better comprehension of the transformational
potential of the metaverse in Asian nations.
RESEARCH QUESTIONS
RQ1: What are the inclusive trends and total number
of research publications published in Asia about the
metaverse?
RQ2: Which major authors and nations are involved in
the study of the metaverse in the chosen Asian nations?
RQ3: In Asian nations, what are the citation trends and
effects of papers concentrating on the metaverse?
RQ4: What are the most popular metaverse research
themes and areas of study in Asian nations?
RQ5: What possible research implications could result
from the findings of this bibliometric analysis?
METHODOLOGY
To conduct the bibliometric analysis of the metaverse
in Asian countries, a systematic search was
performed using the Scopus database. The search
string used was “TITLE-ABS-KEY (metaverse)
AND (LIMIT-TO (AFFILCOUNTRY, ‘China’)
OR LIMIT-TO (AFFILCOUNTRY, ‘India’) OR
LIMIT-TO
(AFFILCOUNTRY,
‘Japan’)
OR
LIMIT-TO (AFFILCOUNTRY, ‘Singapore’) OR
LIMIT-TO (AFFILCOUNTRY, ‘Malaysia’) OR
LIMIT-TO (AFFILCOUNTRY, ‘Saudi Arabia’) OR
LIMIT-TO (AFFILCOUNTRY, ‘Iran’) OR LIMITTO (AFFILCOUNTRY, ‘Thailand’) OR LIMITTO (AFFILCOUNTRY, ‘Pakistan’) OR LIMIT-TO
(AFFILCOUNTRY, ‘Jordan’))”.
This search phrase was created to discover papers that
were linked to institutions in specified Asian nations,
notably China, India, Japan, Singapore, Malaysia,
Saudi Arabia, Iran, Thailand, Pakistan, and Jordan,
and that had the word “metaverse” in their title,
abstract, or keywords. The Scopus database, a large
and frequently used repository for scholarly papers,
was the only source that was included in the search
(Zerbino, 2022). By concentrating on these Asian
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Unveiling the Research Landscape of the Metaverse in Asia
nations, we sought to identify regional contributions to
and trends in metaverse research. The Scopus search
results were exported and then imported for additional
examination into bibliometric analysis tools. From the
retrieved publications, information such as publication
year, authors, affiliations, citations, and keywords were
extracted(Hassani & Bahini, 2022).
Numerous quantitative measurements, such as citation
counts, co-authorship networks, keyword co-occurrence
analysis, and trend analysis across time, will be used
in the bibliometric study. These studies will offer
perceptions into the research environment, significant
contributors, topic clusters, and the development of the
idea of the metaverse in the chosen Asian nations. By
using this technique, we want to present a thorough
and data-driven assessment of the scholarly output and
trends connected to the metaverse in Asian nations,
providing insightful information for academics,
decision-makers, and business experts working in this
area(De Jong et al., 2019).
RESULTS AND DISCUSSION
Annual Scientific Production
Figure 01 displays the number of articles that were
released per year between 2008 and 2023. The number
of publications varies with time, with very few papers
published in previous years and a progressive rise in
subsequent years. The number of articles increases
noticeably in 2022 and then significantly in 2023. This
shows a rise in research effort and interest in the field
throughout those years(Wichianrak et al., 2023).
Singh, et al
The quantity of citations from one source or document
are referred to as “local citations,” whilst citations from
other sources are referred to as “global citations.”It is
clear from the statistics that the quantity of citations
differs between the papers. Some papers, like Duan et al.
(2021) and Dwivedi et al. (2022), have more local and
international citations, demonstrating their major effect
and influence within the discipline. Conversely, works
by Suzuki et al. (2020) and Barry et al. (2015) have far
less citations. The distribution of citations between local
and international sources may be analysed using the LC/
GC ratio. A lower LC/GC ratio denotes a more balanced
or significant contribution from global sources, whereas
a larger ratio implies a higher percentage of citations
from local sources.A standard measure of citations is
provided by the normalised local and global citations,
enabling comparisons between texts. Higher numbers
suggest a greater influence in terms of the number of
citations compared to other papers.The table gives
an overview of the citation performance of the listed
publications, showing differences in citation counts,
local-global citation distribution, and normalised effect
within the field of study(Andreoli & Batista, 2020).
Most Prolific Authors
The Figure 02 lists researchers and shows how frequently
their names appear in various contexts. The most often
occurring names are Li Y, Wang X, and Wang Y, with
23, 22, and 21 occurrences each. These researchers are
well-represented in the relevant environment. With 20
and 19 instances, respectively, Wang J and Wang F-Y
also show very often. The number of occurrences for
Liu Y, Niyato D, Chen Y, Li J, and Zhang X ranges from
18 to 13. The researchers who are most commonly cited
or active in the field under examination are highlighted
in the table(Boncinelli et al., 2023).
Most Influential Sources
Figure 1. Annual Scientific Production
Most Influential Documents
Top 10 documents basesd on local and global citation
is shown in the Table 01, together with information
on each one’s publication year, local and worldwide
citation counts, LC/GC ratio (%), normalised local
citation count, and normalised global citation count.
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Top 10 prolific sources are included in the Figure
03, along with the number of articles linked to each
source(Ktisti et al., 2022). The most papers are found
in “Lecture Notes in Computer Science,” which has
subseries on bioinformatics and artificial intelligence.
With 17 papers, “IEEE Transactions on Systems, Man,
and Cybernetics: Systems” comes in second place.
Other noteworthy sources with 12 and 10 articles
each are “ACM International Conference Proceeding
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Series” and “Sustainability (Switzerland)”. Each of the
following journals contributes 9 to 7 articles: “Frontiers
in Psychology,” “Lecture Notes in Networks and
Systems,” “Electronics (Switzerland”), “Frontiers in
Singh, et al
Artificial Intelligence and Applications,” “Proceedings
- 2023 IEEE Conference on Virtual Reality and 3D User
Interfaces Abstracts and Workshops, VRW 2023,” and
“Proceedings of SPIE - The International Society for
Optical Engineering.”
Table 1. Most Influential Documents
Bibliographic Coupling of Countries
Figure 2. Most Profilic authors
Figure 3. Most Influential Sources
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Based on common references in scientific papers,
a technique called bibliographic coupling is used
to evaluate international collaboration(Niñerola et
al., 2021). It aids in the identification of research
collaborations, interests, and new trends. Researchers
and policymakers can learn more about global networks
of collaboration and information sharing by examining
bibliographic coupling patterns. This knowledge
supports effective international research collaborations
as well as strategic planning and research assessment.
Based on the quantity of papers, citations, and overall
link strength, the table provides information on the
research production and influence of a few chosen
nations. China has the most documents and citations,
which shows that it is actively engaged in research. In
spite of having fewer papers, the United States comes
in second with a sizable number of citations. India has
a modest research output and a comparatively strong
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overall linkage. Germany and the United Kingdom have
lower research outputs but significant citations and link
strength as shown in Figure 04.
Singh, et al
themes represent brand-new, developing study fields.
Fundamental concepts act as the field’s knowledge’s
building blocks.
THEMATIC MAP
A thematic map aids in the visualisation of the
properties of several research themes within a dataset
during bibliometric analysis(Johnpaul et al., 2021). The
thematic map incorporates a number of characteristics,
including motor theme, emerging theme, specialty
theme, and basic theme, as well as development degree
and relevance degree. The level of development reflects
the sophistication and depth of study in a certain topic.
The degree of relevance reveals a theme’s significance
and influence within the larger study domain. Other
themes are driven and shaped by motor themes, which
serve as important and key notions. While niche themes
indicate specialised and narrow issues, emerging
Figure 4. Collaboration among Countries
Centrality and Density details of Cluster Formed by Thematic Analysis
Table 2. Details of cluster
The table provides a summary of various clusters related
to different research topics in the field of Metaverse.
It includes columns such as Callon Centrality, Callon
Density, Rank Centrality, Rank Density, and Cluster
Frequency. These metrics offer insights into the
prominence and frequency of each cluster within the
analyzed dataset. The Callon Centrality and Density
values represent the centrality and density of the
cluster, respectively, indicating the level of importance
and interconnectedness of the research within that
specific topic. Higher values suggest greater centrality
and density, indicating a more prominent and cohesive
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research area. The Rank Centrality and Density values
denote the rank position of each cluster in terms of
centrality and density, respectively. A lower rank value
indicates higher centrality or density compared to other
clusters, signifying a more influential or concentrated
area of research. Lastly, the Cluster Frequency column
indicates the number of publications associated with
each cluster, providing an indication of the research
activity and interest within each topic. Higher
frequencies suggest a greater volume of research
within a specific cluster. By evaluating these metrics,
researchers can identify the most influential and
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interconnected research areas (based on centrality and
density), as well as the most prolific topics (based on
cluster frequency). This information can guide further
research efforts, collaborations, and the allocation of
resources within the field of Metaverse research.
Singh, et al
systems flourish, giving rise to vibrant communities,
cooperative networks, and engaging interpersonal
relationships. Cyber physicals smoothly combine digital
and physical components, bridging the gap between the
virtual and physical worlds, and turning interactions
into palpable experiences. The metaverse’s digital
cyberspaces, which provide limitless opportunities for
connection and self-expression, serve as the setting
for exploration, creativity, and participation. In the
metaverse, task analysis assures effective job execution
and boosts efficiency, while computational modelling
enables designers and developers to create complex
virtual environments and engaging simulations. These
ideas come together to form the metaverse, a vast digital
environment that is full of invention, connections, and
life-changing events.
Cluster analysis 2: 3d Modelling
Figure 5. Thematic Map
Content Analysis
A technique for analysing and classifying textual
or qualitative material into significant clusters or
groupings is called content analysis using cluster
analysis. It entails locating recurring themes, patterns,
or subjects in a dataset. According to their content, such
as words, phrases, or concepts, comparable objects are
grouped together using mathematical methods in cluster
analysis. This method offers a systematic method for
organising and condensing enormous volumes of data
and aids researchers in revealing hidden structures or
links within the data. Researchers can better identify
the major themes or categories included in the dataset
and investigate the links between various clusters by
clustering the data. Here from thematic map, we have
examined 06 major clusters as follows:
Cluster analysis 1: Reinforcement Learning
The blending of “reinforcement learning,” “social
systems,”
“cyber
physicals,”
“cyberspaces,”
“reinforcement learnings,” “task analysis,” and
“computational modelling” creates an enthralling
tapestry of interrelated topics in the vast metaverse.
Reinforcement learning algorithms are essential in
the metaverse for optimising user interactions and
experiences, adjusting to unique preferences, and
enhancing virtual worlds. In the metaverse, social
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The fusion of “real-time,” “image reconstruction,”
“three-dimensional displays,” “cameras,” “textures,”
“holographic displays,” “3D modelling,” “algorithms,”
and “image processing” in the metaverse results in
an enthralling digital environment. While image
reconstruction techniques completely meld digital and
physical worlds, real-time interactions and experiences
immerse users in dynamic virtual environments. The
visual fidelity of the metaverse is improved through
holographic and three-dimensional technology,
allowing for lifelike representations and immersive
experiences. The incorporation of aspects from the real
world into the metaverse is made possible by cameras,
which record the essence of the physical world. The
complexity of virtual surroundings is enhanced by
point clouds and textures, which replicate fine features
and textures. The production and manipulation of 3D
models is made possible by cutting-edge algorithms and
image processing techniques, which help to shape the
digital architecture of the metaverse. Liquid crystals aid
in the creation of high-caliber displays by enhancing
visual realism and clarity. These connected components
serve as the building blocks of immersive experiences
in the metaverse, allowing users to engage, create, and
explore in a colourful and interesting digital world.
Cluster 03: E-learning
Students may engage in dynamic and engaging
learning experiences outside of the typical classroom
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environment because to the metaverse’s immersive
platform for e-learning. Teachers may use the
metaverse to create personalised and adaptable learning
experiences catered to each student’s requirements
using computer-aided education and knowledge-based
systems. The establishment of engaging and dynamic
learning environments where multimedia technologies
excite students’ perception and improve their grasp of
difficult subjects is made possible by the educational
metaverse. Students can successfully use problem-based
learning approaches in the metaverse to address realworld issues and hone their critical thinking abilities.
Additionally, the metaverse creates possibilities for
online education, allowing students to access learning
materials and participate in the learning process from
any location.
Cluster 04: Blockchain
The metaverse uses blockchain technology to provide
safe, decentralised transactions, digital asset ownership,
and smart contract-based authentication. It offers a
platform for immersive and interactive experiences
inside of video games and other virtual worlds, having
an influence on many different facets of everyday life,
society, and the digital economy. The metaverse intends
to provide the secure and effective flow of digital
assets and electronic documents with an emphasis
on information management, data privacy, and
cybersecurity. In order to give consumers a smooth and
engaging experience, it embraces intelligent systems,
optimisations for displaying visuals, network security,
and distributed computer systems. As Industry 4.0’s
metaverse develops, it attracts investments and spurs
advancements in web 3.0, intelligent systems, and
artistic computing. The metaverse aims to offer a safe
and revolutionary digital environment for people and
businesses alike by embracing decentralisation, cloud
computing, and network optimisations.
Cluster 05: Machine Learning
Wearable technology and virtual avatars are only two
examples of how “human-computer interaction” is
made easy in the metaverse through the combination
of “machine learning” and “user interfaces.” The
“complex networks” that support the metaverse grow,
and it depends on effective “data handling” methods to
manage massive volumes of data. “Decision trees” and
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“learning algorithms” are used to improve decisionmaking processes so that “intelligent robots” can move
around and interact in virtual settings. Advanced methods
like “speech recognition” and “neural networks” enable
intuitive and natural communication between people
and the metaverse. The metaverse is researching topics
like “convolution” and “brain- computer interfaces” in
an effort to close the gap between the “human brain”
and virtual experiences as technology advances.
Cluster 06: Human Interface
The idea of a “human-machine interface” is crucial in the
metaverse because it allows for seamless communication
between real world surroundings and virtual ones. New
“flexible electronics” developments open the door
to creative solutions that improve user experiences.
“Gesture recognition” is essential for converting
physical human motions into digital commands in the
metaverse. By generating power from user interactions,
cutting-edge technologies like “nanogenerators” and
“triboelectricity” can power “wearable sensors” and
other metaverse devices in a sustainable way. In order
to record and decipher neural impulses, electrodes
are used, enabling direct communication between the
human brain and the virtual world. The metaverse
experience gains an additional degree of expressiveness
and control because to the recognition and interpretation
of “gestures,” which also makes it more user- friendly
and immersive. The incorporation of these technologies
results in a more seamless and interesting virtual world
as the metaverse continues to develop.
CONCLUSION
The Metaverse in Asian nations was subjected to
a thorough bibliometric study in this work, which
offered insightful information on the state of the
field and upcoming trends. This study provided
insight into a variety of topics, including publishing
productivity, collaborative patterns, and subject focus
by methodically analysing a sizable corpus of scholarly
publications. The results of this investigation showed
that Asian nations have an increasing interest in the
Metaverse, with a consistent rise in research output
over time. The findings also showed how important
particular nations—including China, Japan, and South
Korea—have been in promoting study on the Metaverse
in the area.
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Unveiling the Research Landscape of the Metaverse in Asia
Collaboration was discovered to be a crucial component
of research in the Metaverse, with a sizeable portion of
publications coming from cross-border partnerships.
This demonstrates the international scope of the topic
and the necessity of international collaboration and
knowledge exchange among academics. Additionally,
the theme analysis revealed major areas of interest
within Asia’s Metaverse research environment. These
included subjects including immersive technology,
virtual reality, augmented reality, virtual worlds, and
social interactions in the Metaverse. Such results are
a useful resource for academics and policymakers
interested in boosting the development and uptake of
the Metaverse in Asian nations, and they also help us
comprehend the existing research environment.
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FUTURE SCOPE OF STUDY
Future research in the metaverse will focus on a number
of important subjects in Asian nations. First, more
investigation might focus on the qualitative components
of Metaverse adoption, investigating user experiences,
moral issues, and social effects. Investigations into
how cutting- edge technology like blockchain and
artificial intelligence are used in the Metaverse might
also yield insightful results. Comparative research
between Asian nations and other regions may also
point up commonalities, discrepancies, and prospective
opportunities for cooperation. The Metaverse’s larger
ramifications may be better understood through
interdisciplinary study that combines disciplines like
psychology, sociology, and economics. This will also
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