A bibliometric analysis and visualization of blockchain
Introduction
As a relatively new technology, blockchain emerges in a variety of forms [1]. Blockchain has attracted wide attention from a considerable number of scholars who concentrate on blockchain and witness the explosive research progress in this field. Blockchain is a foremost tool to deal with all kinds of problems, including security, transportation, logistics, finance, and so on. Globally, the importance, security, and worldwide commercial impact of blockchain has created interest among researchers and inspired us to carry out this study. Based on this background, acquiring a clear systematic overview can help scholars to form insights into the characteristics of blockchain research.
What is blockchain? A common explanation is that blockchain is viewed as a decentralized scenario where untrusted members can interact with each other in a verifiable way [2], [3], [4]. The development of blockchain has experienced several stages; at the same time, the ethics and standards of the blockchain industry have also begun to attract attention. Blockchain standards came into existence in late 2017. Currently, most of blockchain standard activities focus on specifying and developing common frameworks, interfaces, and technical modules that work in self-contained or specific platform environments [5], [6], [7]. However, no regulations have been proposed by governments to implement blockchain in different fields. It is a good initiative to develop a standard framework for blockchain that could adapt to national legislation for all nation-states [8].
Blockchain technology is highly prevalent today, not only does it have a commercial impact on people’s work and lifestyle but also brings enormous opportunities to various fields. For example, health is an important field that the public concerns and blockchain technology are conducive to the dramatic improvement in health record management. Blockchain technology provides secure and efficient access to medical data by virtue of patients, providers, and third parties while preserving the patients’ private information [9], [10]. In data trading platforms, the blockchain solution is useful for helping to complement and mitigate limitations [11], [12]. The combination of the internet of things (IoT) and blockchain can support high-speed data transfer, especially in a 5G-enabled industrial environment during information collection and processing [13], [14]. As the most successful digital currency of blockchain, the wide adoption of bitcoin in finance and other business sectors will bring multiple business innovations and diverse research opportunities [15].
Many scholars have already conducted a great number of state-of-the-art studies on blockchain. However, most articles start from a single perspective: some scholars focus on its evolution [16], [17], some scholars focus on fundamental theories [6], [7], [8], and other scholars focus on its performance [9], [10]. Although these existing articles are valuable, they fail to objectively reveal the whole picture of blockchain or pay due attention to exploring hot research topics over the past few decades. Worse still, it is highly difficult to effectively organize, summarize, and quantitatively analyze the development of a specific field among a large number of studies on a large time scale in traditional review articles. Blockchain is an interdisciplinary research field that covers mathematics, finance, computer science, sociology, and communication science. In order to get a comprehensive understanding of the progress and hotspots of blockchain, a bibliometric analysis is needed.
The bibliographic technique is a quantitative analysis of books, articles, or other publications. In recent years, the bibliometric analysis has been applied in various professional fields to visualize the knowledge status, features, evolution, and emerging trends. This can help interested scholars with a lack of expertise in those fields which secures a full understanding [18]. Bibliometrics can present a considerable amount of academic research, which can be viewed from micro to macro perspective [19]. Based on bibliometric methods, the performance of various disciplines can be vividly observable. Therefore, this paper will use the maps generated by CiteSpace and VOSviewer to conduct a comprehensive and systematic analysis of blockchain research. CiteSpace usually works as an effective tool for researchers to extract network relations, research emphases, as well as research trends. VOSviewer can present detailed information on the literature, such as hot research topics.
This research is structured as follows. First, the data source and methods are introduced. Second, the bibliometric analysis results are presented from six main aspects, namely, publication outputs, categories analysis, countries and institutions cooperation analysis, author collaboration network and author co-citation network, co-citation journals analysis, and cited references analysis. Then, hot research topics, academic relations, and emerging trends will be summarized in specific fields. Finally, some conclusions and future research directions will be proposed. All in all, this paper will clearly and holistically show hot research topics and emerging trends of blockchain research, as compared to traditional literature review methods. This research will provide a useful guideline for scholars and practitioners who are interested in blockchain technology and seek cooperation opportunities with other scholars and research institutions by systematically collecting, characterizing, and analyzing research papers related to blockchain. Moreover, the predictions based on the bibliometric analysis can also provide ideas for future blockchain research. To achieve this aim, the following research questions (RQ) are worth answering. Table 1 lists all acronyms used in this paper.
RQ1: What are the overall publication trends and subject categories in terms of publication output?
Answering RQ1 would help researchers explore the development trends and status quo of blockchain research.
RQ2: Which countries, institutions, and authors have actively participated in blockchain research?
Answering RQ2 would enable researchers to identify international collaborations and potential collaborators on blockchain research. This would help explore the spatial distribution of articles.
RQ3: What are the most important cited journals that constitute the knowledge field of blockchain research?
Answering RQ3 would be expected to facilitate scholars to find suitable journals for publishing blockchainrelated papers quickly.
RQ4: What are highly cited references in blockchain research according to the number of citations?
Answering RQ4 would not only help researchers recognize significant documents, but also reveal influential and productive countries, organizations, and authors that are internally connected.
RQ5: What are the hot research topics and emerging trends discussed in blockchain papers?
Answering RQ5 would enable researchers to understand research domains and future directions clearly.
Section snippets
Data acquisition
To exhaustively cover international research of blockchain, Web of Science (WoS) was used to obtain abundant professional and scientific literature [20]. Exported records from WoS included comprehensive and detailed data (full records and cited references exported to text files) on publication year, author, institution, and source journal [21]. The search types mainly focused on keywords, titles, and abstracts, so as to explore the correlation theories and research content in this field. In
Analysis of publication outputs
The annual trend of publication activity is conducive to exploring the development phase, knowledge accumulation, and maturity of blockchain. As presented in Fig. 2, the total number of articles published in 2013–2015 was less than 100. After 2016, articles related to blockchain exhibited a rapid upward trend, ranging from 469 articles in 2017 to 1434 articles in 2018, and reaching 1729 articles in 2019. The evolution of publications could be generally divided into two periods. The first period
Hot research topics
Since a frequency analysis of keywords can directly and effectively describe research domains and core content of a specific subject, this paper therefore constructed some keyword co-occurrence networks, roughly outlining the domains of blockchain research. As shown in Fig. 7a, a knowledge domain map for the keyword co-occurrence network was plotted using the VOSviewer software (parameter settings: type of analysis: co-occurrence; counting method: full counting; unit of analysis: all keywords;
Conclusions and future research directions
This paper provided a visual and systematic review of the current topics on blockchain. This bibliometric research analyzed 3826 valid papers on blockchain from core collection of WoS from 2013 to 2020. The number of publications in blockchain technology has increased rapidly since 2016. Research in the blockchain field was extensive and involves a wide range of subjects such as electrical and electronic engineering, computer science, telecommunications, energy fuels, and industrial engineering.
CRediT authorship contribution statement
Yi-Ming Guo: Conceptualization, Methodology, Software, Visualization. Zhen-Ling Huang: Data curation, Writing - original draft, Software. Ji Guo: Visualization, Investigation, Writing - review & editing. Xing-Rong Guo: Writing - review & editing. Hua Li: Supervision, Writing - review & editing. Meng-Yu Liu: Supervision, Software, Validation, Writing - review & editing. Safa Ezzeddine: Supervision, Writing - review & editing. Mpeoane Judith Nkeli: Supervision, Writing - review & editing.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This research was funded by the Ministry of Education Humanities and Social Science Planning Fund Project (No. 17YJCZH054), Key Project of National Social and Scientific Fund Program (18ZDA052), Project of National Social and Scientific Fund Program (17BGL142), Shanghai Philosophy and Social Science Planning Education Youth Project , 2019, grant number B19005.
Yi-Ming Guo was born in China in 1982. He received the Ph.D degree from Hunan University in 2014. He is currently a Graduate Advisor with the School of Economics and Management, Shanghai Maritime University. He has authored or co-authored more than 20 publications, participated in the application for 3 national invention patents and obtained 2 authorizations. Research interests include blockchain, data processing, information, security, environmental management, and smart cities.
References (87)
- et al.
Blockchain envisioned UAV networks: Challenges, solutions, and comparisons
Comput. Commun.
(2020) - et al.
Bibliometric analysis of safety culture research
Saf. Sci.
(2018) - et al.
Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda
Int. J. Inf. Manage.
(2019) - et al.
IoT Security: Review, blockchain solutions, and open challenges
Future Gener. Comput. Syst.
(2018) Securing instant messaging based on blockchain with machine learning
Saf. Sci.
(2019)- et al.
LSB: A lightweight scalable blockchain for IoT security and anonymity
J. Parallel Distrib. Comput.
(2019) - et al.
Bubbles of Trust: A decentralized blockchain-based authentication system for IoT
Comput. Secur.
(2018) - et al.
A secure data routing schema for WSN using elliptic curve cryptography and homomorphic encryption
J. King Saud Univ. Comput. Inform. Sci.
(2016) - et al.
Mapping the oil price-stock market nexus researches: A scientometric review
Int. Rev. Econ. Finance
(2020) - et al.
Blockchain technology in the chemical industry: Machine-to-machine electricity market
Appl. Energy
(2017)
Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains
IEEE Trans. Ind. Inf.
Machine learning based privacy-preserving fair data trading in big data market
Inform. Sci.
A review of smart homes present state and future challenges
Comput. Methods Programs Biomed.
Untangling blockchain: A data processing view of blockchain systems
IEEE Trans. Knowl. Data Eng.
VAPOR: A Value-Centric Blockchain that is Scale-Out, Decentralized, and Flexible by Design
Blockchains and smart contracts for the internet of things
IEEE Access
Blockchain beyond bitcoin
Commun. ACM
Regulatory technology: Replacing law with computer code
Eur. Bus. Organ. Law Rev.
Developing open and interoperable dLT/blockchain standards
Computer
Blockchain standards for compliance and trust
IEEE Cloud Comput.
Adoption of blockchain technology in various realms: Opportunities and challenges
Secur. Priv.
Co-simulation of electricity distribution networks and peer to peer energy trading platforms
Int. J. Electr. Power Energy Syst.
SDTE: A secure blockchain-based data trading ecosystem
IEEE Trans. Inf. Forensics Secur.
Overview of business innovations and research opportunities in blockchain and introduction to the special issue
Financ. Innov.
The rise of blockchain: Bibliometric analysis of blockchain study
Scientometrics
The evolution of blockchain: A bibliometric study
IEEE Access
Blockchain and internet of things: A bibliometric study
Comput. Electr. Eng.
For your citations only? Hot topics in bibliometric analysis
Meas. Interdiscip. Res. Perspect.
Mapping the backbone of science
Entometrics
CiteSpace II: DEtecting and visualizing emerging trends and transient patterns in scientific literature
J. Am. Soc. Inf. Sci. Technol.
Software survey: VOSviewer, a computer program for bibliometric mapping
Scientometrics
The methodology function of Cite Space mapping knowledge domains
Stud. Ence Ence
Evaluation and scientometric analysis of researches on air pollution in developing countries from 1952 to 2018
Air Qual. Atmos. Health
Consortium blockchain-based malware detection in mobile devices
IEEE Access
Blockchain: A panacea for healthcare cloud-based data security and privacy?
IEEE Cloud Comput.
Computation offloading and content caching in wireless blockchain networks with mobile edge computing
IEEE Trans. Veh. Technol.
When mobile blockchain meets edge computing
IEEE Commun. Mag.
Ethereum: A secure decentralised generalised transaction ledger
Ethereum Project Yellow Paper
Ethereum White Paper
Cited by (0)
Yi-Ming Guo was born in China in 1982. He received the Ph.D degree from Hunan University in 2014. He is currently a Graduate Advisor with the School of Economics and Management, Shanghai Maritime University. He has authored or co-authored more than 20 publications, participated in the application for 3 national invention patents and obtained 2 authorizations. Research interests include blockchain, data processing, information, security, environmental management, and smart cities.
Zhen-Ling Huang was born in China in 1996. She received the B.S. degree from Nanjing University of Posts and Telecommunications in 2018. She is currently pursuing the M.S. degree with the School of Economics and Management, Shanghai Maritime University. Research interests include blockchain, smart cities, and smart tourism technology.