Best Researcher Award
Krishna Asawa
Jaypee Institute of Information Technology, Noida, India
Krishna Asawa is a computer science researcher affiliated with Jaypee Institute of Information Technology, Noida, India. The research record supplied for this recognition profile comprises 69 indexed documents, 656 citations, and an h-index of 13. The publication portfolio includes work in social-network analysis, authorship attribution, intelligent agents, network security, cryptographic techniques, and security analysis of low-power wireless networks. These areas collectively reflect research interests spanning artificial intelligence, cybersecurity, computational social systems, and intelligent information processing.[1] [2]
Abstract
Krishna Asawa’s research profile is situated within computer science, with a publication record encompassing cybersecurity, social-network analysis, computational intelligence, authorship attribution, and intelligent-agent systems. The supplied record reports 69 documents, 656 citations, and an h-index of 13. Representative publications address stylometric analysis for authorship attribution on Twitter, influence maximization using community detection and node modularity, emotion modeling for intelligent agents, IP spoofing attacks in 6LoWPAN networks, cryptographic hash functions, and rank attacks in low-power wireless routing. [1] [2]
Keywords
Krishna Asawa; Computer Science; cybersecurity; social-network analysis; authorship attribution; stylometry; intelligent agents; cryptographic hash functions; 6LoWPAN security; influence maximization; community detection; network security; computational intelligence; research impact; Best Researcher Award.
Introduction
Research in computer science increasingly combines theoretical methods with applications in secure communications, artificial intelligence, networked systems, and analysis of digital behavior. Within this broad environment, the work represented in Krishna Asawa’s supplied publication record covers several interconnected problems involving the analysis, protection, and intelligent processing of information.[3] [4]
Research Profile
The supplied bibliographic profile identifies Computer Science as the principal subject area. The quantitative indicators provided for the researcher are 69 documents, 656 citations, and an h-index of 13. Such metrics provide a bibliometric description of publication and citation activity, although they do not by themselves measure the methodological quality, originality, or practical significance of individual contributions.
Research Contributions
One notable research direction concerns authorship attribution in online communication. The publication Stylometric analysis for authorship attribution on Twitter, co-authored by M. Bhargava, P. Mehndiratta, and K. Asawa, examines the use of stylometric techniques in the context of Twitter and was presented at the International Conference on Big Data Analytics. The supplied citation record associates the work with 125 citations. [3][4][5]
Publications
The following selected publications are drawn from the research information supplied for this recognition profile. Citation counts shown below correspond to the supplied Google Scholar records and may change as scholarly databases are updated.
The selected publications demonstrate continuity across several computer science research problems. Their combined themes include analysis of online textual behavior, network structure, intelligent-agent design, cryptographic security, and vulnerabilities in constrained networking environments. The publication record therefore provides evidence of a research portfolio spanning both conceptual and applied aspects of computer science.
Research Impact
The supplied research metrics report 656 citations across 69 documents and an h-index of 13. These indicators suggest that the research output has received sustained scholarly attention. Citation distribution is not uniform across publications; for example, the supplied record identifies 125 citations for the Twitter authorship-attribution study, 94 for the influence-maximization study, 43 for the intelligent-agent emotion model, 35 for the 6LoWPAN spoofing study, and 34 for the NewFORK-256 cryptographic hash-function study.[3] [4]
Award Suitability
Based on the supplied publication and bibliometric information, Krishna Asawa’s profile is relevant to consideration for a Best Researcher Award within the International Research Hypothesis Excellence Award. The principal considerations include a documented body of 69 research documents, 656 citations, an h-index of 13, and publications addressing several established computer science research challenges.[1] [3] [4]
Conclusion
Krishna Asawa’s supplied academic profile presents a sustained research record in Computer Science, with particular representation in cybersecurity, social-network analysis, intelligent systems, stylometric authorship attribution, and cryptography. The reported indicators of 69 documents, 656 citations, and an h-index of 13, together with the selected publications and their citation records, provide a quantitative and bibliographic basis for evaluating research activity and influence.
External Links
References
- Elsevier. (n.d.). Scopus author details: Krishna Asawa. Scopus. Research metrics supplied for this profile.
- Google Scholar. (n.d.). Krishna Asawa — publications and citation records. Google Scholar.
https://scholar.google.com/citations?hl=en&user=Unpi_YEAAAAJ&view_op
- Bhargava, M., Mehndiratta, P., & Asawa, K. (2013). Stylometric analysis for authorship attribution on Twitter. International Conference on Big Data Analytics.
- Tyagi, A. D., & Asawa, K. (2024). Influence maximization in social network using community detection and node modularity. International Journal of Performability Engineering.
- Jain, S., & Asawa, K. (2015). EMIA: emotion model for intelligent agent. Journal of Intelligent Systems.