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Prof. (Dr.) Parul Khurana

Prof. (Dr.) Parul Khurana

Professor , Computer Science & Applications (CSA)

parul.khurana@sharda.ac.in

About

Prof. (Dr.) Parul Khurana is a faculty member at Sharda University with a strong academic and research background in the areas of Data Science, Informetrics, Gamification, Cloud Computing, and emerging computing technologies. He is an active researcher with a growing national and international research footprint, reflected through his scholarly publications and citation impact.

According to his Google Scholar profile, Prof. Khurana has received over 280 citations, with an h-index of 7 and an i10-index of 4, indicating consistent and impactful research contributions. His work spans reputed journals, conference proceedings, and edited volumes, including publications in well-recognized outlets such as Scientometrics, Multimedia Tools and Applications, Journal of Scientometric Research, Accountability in Research, and AIP Conference Proceedings.

His research primarily focuses on bibliometric and informetric analysis, where he has contributed significantly to understanding research impact, citation behavior, collaboration networks, self-citations, retractions, and the role of digital identifiers. Several of his studies provide data-driven insights into scientific productivity, author ranking mechanisms, and the evolution of interdisciplinary research domains. He has also explored the application of blockchain, artificial intelligence, Internet of Things (IoT), and machine learning in research analytics, healthcare, education, and cloud-based systems.

Prof. Khurana has authored influential work on gamification in education, which remains one of his most cited contributions, highlighting his interest in innovative pedagogical approaches alongside technical research. In recent years, his research has expanded toward AI-driven analysis, container security, blockchain-based publication systems, and research integrity, including studies on plagiarism, fake peer review, and retracted literature.

He actively collaborates with researchers from India and abroad and has contributed to both journal articles and preprints, demonstrating engagement with contemporary and evolving research practices. Through his teaching and research, Prof. Khurana remains committed to advancing knowledge, promoting ethical and impactful research, and mentoring students and scholars in data-driven and interdisciplinary domains.

This profile reflects his sustained academic contributions, research diversity, and commitment to scholarly excellence at Sharda University.

Experience
  • 18.1 Years
Qualification
  • PhD. in Computer Applications from Lovely Professional University, Punjab
Research

  • Parul Khurana, Kiran Sharma, Zia Uddin. Unraveling retraction dynamics in COVID-19 research: Patterns, reasons, and implications. Accountability in Research. (Published, Scopus Indexed)
  • Sahil Rampal, Manmohan Sharma, Parul Khurana, Mukesh Kumar, Vivek Bhardwaj. Crypt analysis of multi-key biometric encryption for business enterprises using cloud storage. In: Journal of Discrete Mathematical Sciences and Cryptography. (Published, Scopus Indexed)
  • Sahil Rampal, Manmohan Sharma, Parul Khurana, Mukesh Kumar. Multi-Modalities Biometric Encryption to Secure Personal Data Offloading to the Cloud. In: 3rd International Conference on Disruptive Technologies (ICDT) (Published, Scopus Indexed)
  • Kanika Sharma, Parul Khurana Performance Evaluation of the Nature Inspired Algorithms for Container Scheduling for Elastic Containerized Multi Cloud. In: IEEE International Conference on Blockchain and Distributed Systems Security . (Published, Scopus Indexed)
  • Kanika Sharma, Parul Khurana. Performance Metrics Analysis for Container Scheduling in Cloud Environment. In: Asian conference on Intelligent Technologies. (Published, Scopus Indexed)

 

  • Published 1 Patent (Granted also)
  • Book Chapter:1
  • Published 12 research papers in Journal
  • Published and presented 14 research papers in reputed International / National Conferences

Area of Interest

  • Data Science
  • Informetrics
  • Gamification
  • Cloud Computing