Content area
With the emergence of quantum computers, classical cryptography is facing significant challenges. Address this compelling problem, it is the need of hour to develop Post Quantum cryptography (PQC), or quantum-resistant cryptography. PQC is a rapidly evolving field in computer science. The National Institute of Standards and Technology (NIST) posted a call for inviting new generation of PQC algorithms. This paper aims to explore the significance and relevance of PQC in the future. Performing bibliometric analysis is important for gathering the necessary information about this discipline. Performance analysis and science mapping are done to extract valuable insights from the dataset. The dataset includes 14,230 records extracted from the Scopus database. The analysis is done using qualitative as well as quantitative approaches. The quantity approach focuses on the number of publications and document type analysis of the publications, while the quality approach includes the citation analysis of research publications. Bibliographic coupling is also carried out to understand the relationship in a visualisation format between authors, documents, sources, and countries. After performing the analysis, it has been observed that China has made the most significant contribution to the field of PQC. Additionally, the most highly cited author identified is Nicolas Gisin from the University of Geneva. This study provides valuable insights into prominent keywords, emerging trends and key research areas within the PQC domain, offering a comprehensive overview of the current research landscape.
Details
Qualitative analysis;
Quantum computing;
Datasets;
Computers;
Quantum cryptography;
Scientometrics;
Bibliometrics;
Science;
Investigations;
Quantum computers;
Trends;
Communication;
Publications;
Documents;
Interdisciplinary aspects;
Citation analysis;
Researchers;
Data analysis;
Algorithms;
Digital signatures;
COVID-19;
Big Data;
Computer science;
Analysis;
Databases;
Citations;
Research;
Mapping;
Landscape;
Science and technology
1 Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, India (GRID:grid.428245.d) (ISNI:0000 0004 1765 3753)
2 Manipal University Jaipur, Department of Data Science and Engineering, Jaipur, India (GRID:grid.428245.d) (ISNI:0000 0004 4661 2475)