Countries where authors publish in Blockchain Research and Applications
Since Specialization
Citations
This map shows the geographic impact of research published in Blockchain Research and Applications. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Blockchain Research and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blockchain Research and Applications more than expected).
Fields of papers published in Blockchain Research and Applications
This network shows the impact of papers published in Blockchain Research and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Blockchain Research and Applications.
About Blockchain Research and Applications
The 233 papers published in Blockchain Research and Applications in the last decades have received a total of 2.7k indexed citations . Papers published in Blockchain Research and Applications usually cover Information Systems (206 papers), Computer Networks and Communications (80 papers), Management Information Systems (30 papers), Artificial Intelligence (67 papers) and Signal Processing (12 papers) specifically the topics of Blockchain Technology Applications and Security (198 papers), IoT and Edge/Fog Computing (44 papers), Privacy-Preserving Technologies in Data (27 papers), Cryptography and Data Security (25 papers), Cloud Data Security Solutions (22 papers), FinTech, Crowdfunding, Digital Finance (20 papers), Caching and Content Delivery (17 papers) and Distributed systems and fault tolerance (12 papers). The most active scholars publishing in Blockchain Research and Applications are Xingjie Yu, Huaqun Guo, Md. Ashraf Uddin, Venki Balasubramanian, Iqbal Gondal, Andrew Stranieri, Ravi Pratap Singh, Shahbaz Khan, Mohd Javaid and Rajiv Suman.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.